docs: update skill descriptions and fix formatting in markdown files
This commit is contained in:
@@ -1,6 +1,7 @@
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---
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name: ai-engineer
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description: "Build production-ready LLM applications, advanced RAG systems, and"
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description: |
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Build production-ready LLM applications, advanced RAG systems, and
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intelligent agents. Implements vector search, multimodal AI, agent
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orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM
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features, chatbots, AI agents, or AI-powered applications.
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@@ -9,6 +10,7 @@ metadata:
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risk: unknown
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source: community
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---
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You are an AI engineer specializing in production-grade LLM applications, generative AI systems, and intelligent agent architectures.
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## Use this skill when
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@@ -37,11 +39,13 @@ You are an AI engineer specializing in production-grade LLM applications, genera
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- Add guardrails for prompt injection, PII, and policy compliance.
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## Purpose
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Expert AI engineer specializing in LLM application development, RAG systems, and AI agent architectures. Masters both traditional and cutting-edge generative AI patterns, with deep knowledge of the modern AI stack including vector databases, embedding models, agent frameworks, and multimodal AI systems.
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## Capabilities
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### LLM Integration & Model Management
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- OpenAI GPT-4o/4o-mini, o1-preview, o1-mini with function calling and structured outputs
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- Anthropic Claude 4.5 Sonnet/Haiku, Claude 4.1 Opus with tool use and computer use
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- Open-source models: Llama 3.1/3.2, Mixtral 8x7B/8x22B, Qwen 2.5, DeepSeek-V2
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@@ -51,6 +55,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Cost optimization through model selection and caching strategies
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### Advanced RAG Systems
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- Production RAG architectures with multi-stage retrieval pipelines
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- Vector databases: Pinecone, Qdrant, Weaviate, Chroma, Milvus, pgvector
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- Embedding models: OpenAI text-embedding-3-large/small, Cohere embed-v3, BGE-large
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@@ -62,6 +67,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Advanced RAG patterns: GraphRAG, HyDE, RAG-Fusion, self-RAG
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### Agent Frameworks & Orchestration
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- LangChain/LangGraph for complex agent workflows and state management
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- LlamaIndex for data-centric AI applications and advanced retrieval
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- CrewAI for multi-agent collaboration and specialized agent roles
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@@ -72,6 +78,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Agent evaluation and monitoring with custom metrics
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### Vector Search & Embeddings
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- Embedding model selection and fine-tuning for domain-specific tasks
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- Vector indexing strategies: HNSW, IVF, LSH for different scale requirements
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- Similarity metrics: cosine, dot product, Euclidean for various use cases
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@@ -80,6 +87,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Vector database optimization: indexing, sharding, and caching strategies
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### Prompt Engineering & Optimization
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- Advanced prompting techniques: chain-of-thought, tree-of-thoughts, self-consistency
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- Few-shot and in-context learning optimization
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- Prompt templates with dynamic variable injection and conditioning
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@@ -89,6 +97,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Multi-modal prompting for vision and audio models
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### Production AI Systems
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- LLM serving with FastAPI, async processing, and load balancing
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- Streaming responses and real-time inference optimization
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- Caching strategies: semantic caching, response memoization, embedding caching
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@@ -98,6 +107,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Observability: logging, metrics, tracing with LangSmith, Phoenix, Weights & Biases
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### Multimodal AI Integration
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- Vision models: GPT-4V, Claude 4 Vision, LLaVA, CLIP for image understanding
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- Audio processing: Whisper for speech-to-text, ElevenLabs for text-to-speech
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- Document AI: OCR, table extraction, layout understanding with models like LayoutLM
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@@ -105,6 +115,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Cross-modal embeddings and unified vector spaces
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### AI Safety & Governance
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- Content moderation with OpenAI Moderation API and custom classifiers
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- Prompt injection detection and prevention strategies
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- PII detection and redaction in AI workflows
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@@ -113,6 +124,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Responsible AI practices and ethical considerations
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### Data Processing & Pipeline Management
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- Document processing: PDF extraction, web scraping, API integrations
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- Data preprocessing: cleaning, normalization, deduplication
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- Pipeline orchestration with Apache Airflow, Dagster, Prefect
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@@ -121,6 +133,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- ETL/ELT processes for AI data preparation
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### Integration & API Development
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- RESTful API design for AI services with FastAPI, Flask
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- GraphQL APIs for flexible AI data querying
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- Webhook integration and event-driven architectures
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@@ -129,6 +142,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- API security: OAuth, JWT, API key management
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## Behavioral Traits
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- Prioritizes production reliability and scalability over proof-of-concept implementations
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- Implements comprehensive error handling and graceful degradation
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- Focuses on cost optimization and efficient resource utilization
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@@ -141,6 +155,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Balances cutting-edge techniques with proven, stable solutions
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## Knowledge Base
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- Latest LLM developments and model capabilities (GPT-4o, Claude 4.5, Llama 3.2)
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- Modern vector database architectures and optimization techniques
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- Production AI system design patterns and best practices
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@@ -153,6 +168,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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- Prompt engineering and optimization methodologies
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## Response Approach
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1. **Analyze AI requirements** for production scalability and reliability
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2. **Design system architecture** with appropriate AI components and data flow
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3. **Implement production-ready code** with comprehensive error handling
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@@ -163,6 +179,7 @@ Expert AI engineer specializing in LLM application development, RAG systems, and
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8. **Provide testing strategies** including adversarial and edge cases
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## Example Interactions
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- "Build a production RAG system for enterprise knowledge base with hybrid search"
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- "Implement a multi-agent customer service system with escalation workflows"
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- "Design a cost-optimized LLM inference pipeline with caching and load balancing"
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@@ -1,6 +1,6 @@
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---
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name: analytics-tracking
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description: ">"
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description: >
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Design, audit, and improve analytics tracking systems that produce reliable,
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decision-ready data. Use when the user wants to set up, fix, or evaluate
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analytics tracking (GA4, GTM, product analytics, events, conversions, UTMs).
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@@ -1,6 +1,6 @@
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---
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name: angular
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description: ">-"
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description: >-
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Modern Angular (v20+) expert with deep knowledge of Signals, Standalone
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Components, Zoneless applications, SSR/Hydration, and reactive patterns.
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Use PROACTIVELY for Angular development, component architecture, state
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@@ -1,6 +1,7 @@
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---
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name: api-documenter
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description: "Master API documentation with OpenAPI 3.1, AI-powered tools, and"
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description: |
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Master API documentation with OpenAPI 3.1, AI-powered tools, and
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modern developer experience practices. Create interactive docs, generate SDKs,
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and build comprehensive developer portals. Use PROACTIVELY for API
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documentation or developer portal creation.
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@@ -1,6 +1,6 @@
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---
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name: arm-cortex-expert
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description: ">"
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description: >
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Senior embedded software engineer specializing in firmware and driver
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development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD).
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Decades of experience writing reliable, optimized, and maintainable embedded
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-agents-persistent-dotnet
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description: "|"
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description: |
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Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".
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package: Azure.AI.Agents.Persistent
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risk: unknown
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-agents-persistent-java
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description: "|"
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description: |
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Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
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Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".
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package: com.azure:azure-ai-agents-persistent
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-contentsafety-py
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description: "|"
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description: |
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Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.
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Triggers: "azure-ai-contentsafety", "ContentSafetyClient", "content moderation", "harmful content", "text analysis", "image analysis".
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package: azure-ai-contentsafety
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-contentunderstanding-py
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description: "|"
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description: |
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Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.
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Triggers: "azure-ai-contentunderstanding", "ContentUnderstandingClient", "multimodal analysis", "document extraction", "video analysis", "audio transcription".
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package: azure-ai-contentunderstanding
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-document-intelligence-dotnet
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description: "|"
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description: |
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Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: "Document Intelligence", "DocumentIntelligenceClient", "form recognizer", "invoice extraction", "receipt OCR", "document analysis .NET".
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package: Azure.AI.DocumentIntelligence
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risk: unknown
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-ml-py
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description: "|"
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description: |
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Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
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Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
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package: azure-ai-ml
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-openai-dotnet
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description: "|"
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description: |
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Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants. Triggers: "Azure OpenAI", "AzureOpenAIClient", "ChatClient", "chat completions .NET", "GPT-4", "embeddings", "DALL-E", "Whisper", "OpenAI .NET".
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package: Azure.AI.OpenAI
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risk: unknown
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-projects-dotnet
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description: "|"
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description: |
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Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project", "versioned agents", "evaluations", "datasets", "connections", "deployments .NET".
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package: Azure.AI.Projects
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risk: unknown
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-projects-java
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description: "|"
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description: |
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Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.
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Triggers: "AIProjectClient java", "azure ai projects java", "Foundry project java", "ConnectionsClient", "DatasetsClient", "IndexesClient".
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package: com.azure:azure-ai-projects
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-textanalytics-py
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description: "|"
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description: |
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Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.
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Triggers: "text analytics", "sentiment analysis", "entity recognition", "key phrase", "PII detection", "TextAnalyticsClient".
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package: azure-ai-textanalytics
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-transcription-py
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description: "|"
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description: |
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Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.
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Triggers: "transcription", "speech to text", "Azure AI Transcription", "TranscriptionClient".
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package: azure-ai-transcription
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-translation-document-py
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description: "|"
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description: |
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Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale.
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Triggers: "document translation", "batch translation", "translate documents", "DocumentTranslationClient".
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package: azure-ai-translation-document
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-translation-text-py
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description: "|"
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description: |
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Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.
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Triggers: "text translation", "translator", "translate text", "transliterate", "TextTranslationClient".
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package: azure-ai-translation-text
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-vision-imageanalysis-py
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description: "|"
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description: |
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Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.
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Triggers: "image analysis", "computer vision", "OCR", "object detection", "ImageAnalysisClient", "image caption".
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package: azure-ai-vision-imageanalysis
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-voicelive-dotnet
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description: "|"
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description: |
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Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".
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package: Azure.AI.VoiceLive
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risk: unknown
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-voicelive-java
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description: "|"
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description: |
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Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket.
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Triggers: "VoiceLiveClient java", "voice assistant java", "real-time voice java", "audio streaming java", "voice activity detection java".
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package: com.azure:azure-ai-voicelive
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@@ -1,6 +1,6 @@
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---
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name: azure-ai-voicelive-ts
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description: "|"
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description: |
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Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots in Node.js or browser environments. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant TypeScript", "bidirectional audio", "speech-to-speech JavaScript".
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package: "@azure/ai-voicelive"
|
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risk: unknown
|
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|
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@@ -1,6 +1,6 @@
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---
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name: azure-appconfiguration-java
|
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description: "|"
|
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description: |
|
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Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.
|
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Triggers: "ConfigurationClient java", "app configuration java", "feature flag java", "configuration setting java", "azure config java".
|
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package: com.azure:azure-data-appconfiguration
|
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|
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@@ -1,6 +1,6 @@
|
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---
|
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name: azure-appconfiguration-py
|
||||
description: "|"
|
||||
description: |
|
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Azure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings.
|
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Triggers: "azure-appconfiguration", "AzureAppConfigurationClient", "feature flags", "configuration", "key-value settings".
|
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package: azure-appconfiguration
|
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|
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@@ -1,6 +1,6 @@
|
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---
|
||||
name: azure-compute-batch-java
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Batch SDK for Java. Run large-scale parallel and HPC batch jobs with pools, jobs, tasks, and compute nodes.
|
||||
Triggers: "BatchClient java", "azure batch java", "batch pool java", "batch job java", "HPC java", "parallel computing java".
|
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risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
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---
|
||||
name: azure-containerregistry-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories.
|
||||
Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR".
|
||||
package: azure-containerregistry
|
||||
|
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@@ -1,6 +1,6 @@
|
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---
|
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name: azure-cosmos-java
|
||||
description: "|"
|
||||
description: |
|
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Azure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.
|
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Triggers: "CosmosClient java", "CosmosAsyncClient", "cosmos database java", "cosmosdb java", "document database java".
|
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package: azure-cosmos
|
||||
|
||||
@@ -1,6 +1,6 @@
|
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---
|
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name: azure-cosmos-py
|
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description: "|"
|
||||
description: |
|
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Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
|
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Triggers: "cosmos db", "CosmosClient", "container", "document", "NoSQL", "partition key".
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package: azure-cosmos
|
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|
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@@ -1,6 +1,6 @@
|
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---
|
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name: azure-cosmos-rust
|
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description: "|"
|
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description: |
|
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Azure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
|
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Triggers: "cosmos db rust", "CosmosClient rust", "container", "document rust", "NoSQL rust", "partition key".
|
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package: azure_data_cosmos
|
||||
|
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@@ -1,6 +1,6 @@
|
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---
|
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name: azure-cosmos-ts
|
||||
description: "|"
|
||||
description: |
|
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Azure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: "Cosmos DB", "@azure/cosmos", "CosmosClient", "document CRUD", "NoSQL queries", "bulk operations", "partition key", "container.items".
|
||||
package: "@azure/cosmos"
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
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---
|
||||
name: azure-data-tables-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations.
|
||||
Triggers: "table storage", "TableServiceClient", "TableClient", "entities", "PartitionKey", "RowKey".
|
||||
package: azure-data-tables
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-eventgrid-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Event Grid SDK for .NET. Client library for publishing and consuming events with Azure Event Grid. Use for event-driven architectures, pub/sub messaging, CloudEvents, and EventGridEvents. Triggers: "Event Grid", "EventGridPublisherClient", "CloudEvent", "EventGridEvent", "publish events .NET", "event-driven", "pub/sub".
|
||||
package: Azure.Messaging.EventGrid
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-eventgrid-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures.
|
||||
Triggers: "event grid", "EventGridPublisherClient", "CloudEvent", "EventGridEvent", "publish events".
|
||||
package: azure-eventgrid
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-eventhub-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Event Hubs SDK for .NET. Use for high-throughput event streaming: sending events (EventHubProducerClient, EventHubBufferedProducerClient), receiving events (EventProcessorClient with checkpointing), partition management, and real-time data ingestion. Triggers: "Event Hubs", "event streaming", "EventHubProducerClient", "EventProcessorClient", "send events", "receive events", "checkpointing", "partition".
|
||||
package: Azure.Messaging.EventHubs
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-eventhub-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing.
|
||||
Triggers: "event hubs", "EventHubProducerClient", "EventHubConsumerClient", "streaming", "partitions".
|
||||
package: azure-eventhub
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-eventhub-rust
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Event Hubs SDK for Rust. Use for sending and receiving events, streaming data ingestion.
|
||||
Triggers: "event hubs rust", "ProducerClient rust", "ConsumerClient rust", "send event rust", "streaming rust".
|
||||
package: azure_messaging_eventhubs
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-identity-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Identity SDK for .NET. Authentication library for Azure SDK clients using Microsoft Entra ID. Use for DefaultAzureCredential, managed identity, service principals, and developer credentials. Triggers: "Azure Identity", "DefaultAzureCredential", "ManagedIdentityCredential", "ClientSecretCredential", "authentication .NET", "Azure auth", "credential chain".
|
||||
package: Azure.Identity
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-identity-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
|
||||
Triggers: "azure-identity", "DefaultAzureCredential", "authentication", "managed identity", "service principal", "credential".
|
||||
package: azure-identity
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-identity-rust
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Identity SDK for Rust authentication. Use for DeveloperToolsCredential, ManagedIdentityCredential, ClientSecretCredential, and token-based authentication.
|
||||
Triggers: "azure-identity", "DeveloperToolsCredential", "authentication rust", "managed identity rust", "credential rust".
|
||||
package: azure_identity
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-keyvault-certificates-rust
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Key Vault Certificates SDK for Rust. Use for creating, importing, and managing certificates.
|
||||
Triggers: "keyvault certificates rust", "CertificateClient rust", "create certificate rust", "import certificate rust".
|
||||
package: azure_security_keyvault_certificates
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-keyvault-keys-rust
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Key Vault Keys SDK for Rust. Use for creating, managing, and using cryptographic keys.
|
||||
Triggers: "keyvault keys rust", "KeyClient rust", "create key rust", "encrypt rust", "sign rust".
|
||||
package: azure_security_keyvault_keys
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-keyvault-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage.
|
||||
Triggers: "key vault", "SecretClient", "KeyClient", "CertificateClient", "secrets", "encryption keys".
|
||||
package: azure-keyvault-secrets, azure-keyvault-keys, azure-keyvault-certificates
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-keyvault-secrets-rust
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Key Vault Secrets SDK for Rust. Use for storing and retrieving secrets, passwords, and API keys.
|
||||
Triggers: "keyvault secrets rust", "SecretClient rust", "get secret rust", "set secret rust".
|
||||
package: azure_security_keyvault_secrets
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-maps-search-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Maps SDK for .NET. Location-based services including geocoding, routing, rendering, geolocation, and weather. Use for address search, directions, map tiles, IP geolocation, and weather data. Triggers: "Azure Maps", "MapsSearchClient", "MapsRoutingClient", "MapsRenderingClient", "geocoding .NET", "route directions", "map tiles", "geolocation".
|
||||
package: Azure.Maps.Search
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-messaging-webpubsubservice-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns.
|
||||
Triggers: "azure-messaging-webpubsubservice", "WebPubSubServiceClient", "real-time", "WebSocket", "pub/sub".
|
||||
package: azure-messaging-webpubsubservice
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-apicenter-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure API Center SDK for .NET. Centralized API inventory management with governance, versioning, and discovery. Use for creating API services, workspaces, APIs, versions, definitions, environments, deployments, and metadata schemas. Triggers: "API Center", "ApiCenterService", "ApiCenterWorkspace", "ApiCenterApi", "API inventory", "API governance", "API versioning", "API catalog", "API discovery".
|
||||
package: Azure.ResourceManager.ApiCenter
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-apicenter-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.
|
||||
Triggers: "azure-mgmt-apicenter", "ApiCenterMgmtClient", "API Center", "API inventory", "API governance".
|
||||
package: azure-mgmt-apicenter
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-apimanagement-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Resource Manager SDK for API Management in .NET. Use for MANAGEMENT PLANE operations: creating/managing APIM services, APIs, products, subscriptions, policies, users, groups, gateways, and backends via Azure Resource Manager. Triggers: "API Management", "APIM service", "create APIM", "manage APIs", "ApiManagementServiceResource", "API policies", "APIM products", "APIM subscriptions".
|
||||
package: Azure.ResourceManager.ApiManagement
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-apimanagement-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure API Management SDK for Python. Use for managing APIM services, APIs, products, subscriptions, and policies.
|
||||
Triggers: "azure-mgmt-apimanagement", "ApiManagementClient", "APIM", "API gateway", "API Management".
|
||||
package: azure-mgmt-apimanagement
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-applicationinsights-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Application Insights SDK for .NET. Application performance monitoring and observability resource management. Use for creating Application Insights components, web tests, workbooks, analytics items, and API keys. Triggers: "Application Insights", "ApplicationInsights", "App Insights", "APM", "application monitoring", "web tests", "availability tests", "workbooks".
|
||||
package: Azure.ResourceManager.ApplicationInsights
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-arizeaiobservabilityeval-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET). Use when managing Arize AI organizations
|
||||
on Azure via Azure Marketplace, creating/updating/deleting Arize resources, or integrating Arize ML observability
|
||||
into .NET applications. Triggers: "Arize AI", "ML observability", "ArizeAIObservabilityEval", "Arize organization".
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-botservice-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
|
||||
package: Azure.ResourceManager.BotService
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-botservice-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources.
|
||||
Triggers: "azure-mgmt-botservice", "AzureBotService", "bot management", "conversational AI", "bot channels".
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-fabric-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Resource Manager SDK for Fabric in .NET. Use for MANAGEMENT PLANE operations: provisioning, scaling, suspending/resuming Microsoft Fabric capacities, checking name availability, and listing SKUs via Azure Resource Manager. Triggers: "Fabric capacity", "create capacity", "suspend capacity", "resume capacity", "Fabric SKU", "provision Fabric", "ARM Fabric", "FabricCapacityResource".
|
||||
package: Azure.ResourceManager.Fabric
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-fabric-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.
|
||||
Triggers: "azure-mgmt-fabric", "FabricMgmtClient", "Fabric capacity", "Microsoft Fabric", "Power BI capacity".
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-mgmt-weightsandbiases-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb".
|
||||
package: Azure.ResourceManager.WeightsAndBiases
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-monitor-ingestion-java
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE).
|
||||
Triggers: "LogsIngestionClient java", "azure monitor ingestion java", "custom logs java", "DCR java", "data collection rule java".
|
||||
package: com.azure:azure-monitor-ingestion
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-monitor-ingestion-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API.
|
||||
Triggers: "azure-monitor-ingestion", "LogsIngestionClient", "custom logs", "DCR", "data collection rule", "Log Analytics".
|
||||
package: azure-monitor-ingestion
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-monitor-opentelemetry-exporter-java
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Monitor OpenTelemetry Exporter for Java. Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application Insights.
|
||||
Triggers: "AzureMonitorExporter java", "opentelemetry azure java", "application insights java otel", "azure monitor tracing java".
|
||||
Note: This package is DEPRECATED. Migrate to azure-monitor-opentelemetry-autoconfigure.
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-monitor-opentelemetry-exporter-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights.
|
||||
Triggers: "azure-monitor-opentelemetry-exporter", "AzureMonitorTraceExporter", "AzureMonitorMetricExporter", "AzureMonitorLogExporter".
|
||||
package: azure-monitor-opentelemetry-exporter
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-monitor-opentelemetry-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.
|
||||
Triggers: "azure-monitor-opentelemetry", "configure_azure_monitor", "Application Insights", "OpenTelemetry distro", "auto-instrumentation".
|
||||
package: azure-monitor-opentelemetry
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-monitor-query-java
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources.
|
||||
Triggers: "LogsQueryClient java", "MetricsQueryClient java", "kusto query java", "log analytics java", "azure monitor query java".
|
||||
Note: This package is deprecated. Migrate to azure-monitor-query-logs and azure-monitor-query-metrics.
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-monitor-query-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Monitor Query SDK for Python. Use for querying Log Analytics workspaces and Azure Monitor metrics.
|
||||
Triggers: "azure-monitor-query", "LogsQueryClient", "MetricsQueryClient", "Log Analytics", "Kusto queries", "Azure metrics".
|
||||
package: azure-monitor-query
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-postgres-ts
|
||||
description: "|"
|
||||
description: |
|
||||
Connect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package. Use for PostgreSQL queries, connection pooling, transactions, and Microsoft Entra ID (passwordless) authentication. Triggers: "PostgreSQL", "postgres", "pg client", "node-postgres", "Azure PostgreSQL connection", "PostgreSQL TypeScript", "pg Pool", "passwordless postgres".
|
||||
package: pg
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-resource-manager-cosmosdb-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Resource Manager SDK for Cosmos DB in .NET. Use for MANAGEMENT PLANE operations: creating/managing Cosmos DB accounts, databases, containers, throughput settings, and RBAC via Azure Resource Manager. NOT for data plane operations (CRUD on documents) - use Microsoft.Azure.Cosmos for that. Triggers: "Cosmos DB account", "create Cosmos account", "manage Cosmos resources", "ARM Cosmos", "CosmosDBAccountResource", "provision Cosmos DB".
|
||||
package: Azure.ResourceManager.CosmosDB
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-resource-manager-durabletask-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Resource Manager SDK for Durable Task Scheduler in .NET. Use for MANAGEMENT PLANE operations: creating/managing Durable Task Schedulers, Task Hubs, and retention policies via Azure Resource Manager. Triggers: "Durable Task Scheduler", "create scheduler", "task hub", "DurableTaskSchedulerResource", "provision Durable Task", "orchestration scheduler".
|
||||
package: Azure.ResourceManager.DurableTask
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-resource-manager-mysql-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments. Use for creating servers, databases, firewall rules, configurations, backups, and high availability. Triggers: "MySQL", "MySqlFlexibleServer", "MySQL Flexible Server", "Azure Database for MySQL", "MySQL database management", "MySQL firewall", "MySQL backup".
|
||||
package: Azure.ResourceManager.MySql
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-resource-manager-playwright-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Resource Manager SDK for Microsoft Playwright Testing in .NET. Use for MANAGEMENT PLANE operations: creating/managing Playwright Testing workspaces, checking name availability, and managing workspace quotas via Azure Resource Manager. NOT for running Playwright tests - use Azure.Developer.MicrosoftPlaywrightTesting.NUnit for that. Triggers: "Playwright workspace", "create Playwright Testing workspace", "manage Playwright resources", "ARM Playwright", "PlaywrightWorkspaceResource", "provision Playwright Testing".
|
||||
package: Azure.ResourceManager.Playwright
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-resource-manager-postgresql-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments. Use for creating servers, databases, firewall rules, configurations, backups, and high availability. Triggers: "PostgreSQL", "PostgreSqlFlexibleServer", "PostgreSQL Flexible Server", "Azure Database for PostgreSQL", "PostgreSQL database management", "PostgreSQL firewall", "PostgreSQL backup", "Postgres".
|
||||
package: Azure.ResourceManager.PostgreSql
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-resource-manager-redis-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Resource Manager SDK for Redis in .NET. Use for MANAGEMENT PLANE operations: creating/managing Azure Cache for Redis instances, firewall rules, access keys, patch schedules, linked servers (geo-replication), and private endpoints via Azure Resource Manager. NOT for data plane operations (get/set keys, pub/sub) - use StackExchange.Redis for that. Triggers: "Redis cache", "create Redis", "manage Redis", "ARM Redis", "RedisResource", "provision Redis", "Azure Cache for Redis".
|
||||
package: Azure.ResourceManager.Redis
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-resource-manager-sql-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Resource Manager SDK for Azure SQL in .NET. Use for MANAGEMENT PLANE operations: creating/managing SQL servers, databases, elastic pools, firewall rules, and failover groups via Azure Resource Manager. NOT for data plane operations (executing queries) - use Microsoft.Data.SqlClient for that. Triggers: "SQL server", "create SQL database", "manage SQL resources", "ARM SQL", "SqlServerResource", "provision Azure SQL", "elastic pool", "firewall rule".
|
||||
package: Azure.ResourceManager.Sql
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-search-documents-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. Covers SearchClient (queries, document CRUD), SearchIndexClient (index management), and SearchIndexerClient (indexers, skillsets). Triggers: "Azure Search .NET", "SearchClient", "SearchIndexClient", "vector search C#", "semantic search .NET", "hybrid search", "Azure.Search.Documents".
|
||||
package: Azure.Search.Documents
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-search-documents-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets.
|
||||
Triggers: "azure-search-documents", "SearchClient", "SearchIndexClient", "vector search", "hybrid search", "semantic search".
|
||||
package: azure-search-documents
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-security-keyvault-keys-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Key Vault Keys SDK for .NET. Client library for managing cryptographic keys in Azure Key Vault and Managed HSM. Use for key creation, rotation, encryption, decryption, signing, and verification. Triggers: "Key Vault keys", "KeyClient", "CryptographyClient", "RSA key", "EC key", "encrypt decrypt .NET", "key rotation", "HSM".
|
||||
package: Azure.Security.KeyVault.Keys
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-servicebus-dotnet
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Service Bus SDK for .NET. Enterprise messaging with queues, topics, subscriptions, and sessions. Use for reliable message delivery, pub/sub patterns, dead letter handling, and background processing. Triggers: "Service Bus", "ServiceBusClient", "ServiceBusSender", "ServiceBusReceiver", "ServiceBusProcessor", "message queue", "pub/sub .NET", "dead letter queue".
|
||||
package: Azure.Messaging.ServiceBus
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-servicebus-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns.
|
||||
Triggers: "service bus", "ServiceBusClient", "queue", "topic", "subscription", "message broker".
|
||||
package: azure-servicebus
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-speech-to-text-rest-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.
|
||||
Triggers: "speech to text REST", "short audio transcription", "speech recognition REST API", "STT REST", "recognize speech REST".
|
||||
DO NOT USE FOR: Long audio (>60 seconds), real-time streaming, batch transcription, custom speech models, speech translation. Use Speech SDK or Batch Transcription API instead.
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-storage-blob-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Blob Storage SDK for Python. Use for uploading, downloading, listing blobs, managing containers, and blob lifecycle.
|
||||
Triggers: "blob storage", "BlobServiceClient", "ContainerClient", "BlobClient", "upload blob", "download blob".
|
||||
package: azure-storage-blob
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-storage-blob-rust
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Blob Storage SDK for Rust. Use for uploading, downloading, and managing blobs and containers.
|
||||
Triggers: "blob storage rust", "BlobClient rust", "upload blob rust", "download blob rust", "container rust".
|
||||
package: azure_storage_blob
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-storage-blob-ts
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Blob Storage JavaScript/TypeScript SDK (@azure/storage-blob) for blob operations. Use for uploading, downloading, listing, and managing blobs and containers. Supports block blobs, append blobs, page blobs, SAS tokens, and streaming. Triggers: "blob storage", "@azure/storage-blob", "BlobServiceClient", "ContainerClient", "upload blob", "download blob", "SAS token", "block blob".
|
||||
package: "@azure/storage-blob"
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-storage-file-datalake-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.
|
||||
Triggers: "data lake", "DataLakeServiceClient", "FileSystemClient", "ADLS Gen2", "hierarchical namespace".
|
||||
package: azure-storage-file-datalake
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-storage-file-share-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Storage File Share SDK for Python. Use for SMB file shares, directories, and file operations in the cloud.
|
||||
Triggers: "azure-storage-file-share", "ShareServiceClient", "ShareClient", "file share", "SMB".
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-storage-file-share-ts
|
||||
description: "|"
|
||||
description: |
|
||||
Azure File Share JavaScript/TypeScript SDK (@azure/storage-file-share) for SMB file share operations. Use for creating shares, managing directories, uploading/downloading files, and handling file metadata. Supports Azure Files SMB protocol scenarios. Triggers: "file share", "@azure/storage-file-share", "ShareServiceClient", "ShareClient", "SMB", "Azure Files".
|
||||
package: "@azure/storage-file-share"
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-storage-queue-py
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.
|
||||
Triggers: "queue storage", "QueueServiceClient", "QueueClient", "message queue", "dequeue".
|
||||
package: azure-storage-queue
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
name: azure-storage-queue-ts
|
||||
description: "|"
|
||||
description: |
|
||||
Azure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues. Supports visibility timeout, message encoding, and batch operations. Triggers: "queue storage", "@azure/storage-queue", "QueueServiceClient", "QueueClient", "send message", "receive message", "dequeue", "visibility timeout".
|
||||
package: "@azure/storage-queue"
|
||||
risk: unknown
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: backend-architect
|
||||
description: "Expert backend architect specializing in scalable API design,"
|
||||
description: |
|
||||
Expert backend architect specializing in scalable API design,
|
||||
microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC
|
||||
APIs, event-driven architectures, service mesh patterns, and modern backend
|
||||
frameworks. Handles service boundary definition, inter-service communication,
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: backend-security-coder
|
||||
description: "Expert in secure backend coding practices specializing in input"
|
||||
description: |
|
||||
Expert in secure backend coding practices specializing in input
|
||||
validation, authentication, and API security. Use PROACTIVELY for backend
|
||||
security implementations or security code reviews.
|
||||
metadata:
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: bash-pro
|
||||
description: "Master of defensive Bash scripting for production automation, CI/CD"
|
||||
description: |
|
||||
Master of defensive Bash scripting for production automation, CI/CD
|
||||
pipelines, and system utilities. Expert in safe, portable, and testable shell
|
||||
scripts.
|
||||
metadata:
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: blockchain-developer
|
||||
description: "Build production-ready Web3 applications, smart contracts, and"
|
||||
description: |
|
||||
Build production-ready Web3 applications, smart contracts, and
|
||||
decentralized systems. Implements DeFi protocols, NFT platforms, DAOs, and
|
||||
enterprise blockchain integrations. Use PROACTIVELY for smart contracts, Web3
|
||||
apps, DeFi protocols, or blockchain infrastructure.
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: business-analyst
|
||||
description: "Master modern business analysis with AI-powered analytics,"
|
||||
description: |
|
||||
Master modern business analysis with AI-powered analytics,
|
||||
real-time dashboards, and data-driven insights. Build comprehensive KPI
|
||||
frameworks, predictive models, and strategic recommendations. Use PROACTIVELY
|
||||
for business intelligence or strategic analysis.
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: c4-code
|
||||
description: "Expert C4 Code-level documentation specialist. Analyzes code"
|
||||
description: |
|
||||
Expert C4 Code-level documentation specialist. Analyzes code
|
||||
directories to create comprehensive C4 code-level documentation including
|
||||
function signatures, arguments, dependencies, and code structure. Use when
|
||||
documenting code at the lowest C4 level for individual directories and code
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: c4-component
|
||||
description: "Expert C4 Component-level documentation specialist. Synthesizes C4"
|
||||
description: |
|
||||
Expert C4 Component-level documentation specialist. Synthesizes C4
|
||||
Code-level documentation into Component-level architecture, defining component
|
||||
boundaries, interfaces, and relationships. Creates component diagrams and
|
||||
documentation. Use when synthesizing code-level documentation into logical
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: c4-container
|
||||
description: "Expert C4 Container-level documentation specialist. Synthesizes"
|
||||
description: |
|
||||
Expert C4 Container-level documentation specialist. Synthesizes
|
||||
Component-level documentation into Container-level architecture, mapping
|
||||
components to deployment units, documenting container interfaces as APIs, and
|
||||
creating container diagrams. Use when synthesizing components into deployment
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: c4-context
|
||||
description: "Expert C4 Context-level documentation specialist. Creates"
|
||||
description: |
|
||||
Expert C4 Context-level documentation specialist. Creates
|
||||
high-level system context diagrams, documents personas, user journeys, system
|
||||
features, and external dependencies. Synthesizes container and component
|
||||
documentation with system documentation to create comprehensive context-level
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: cloud-architect
|
||||
description: "Expert cloud architect specializing in AWS/Azure/GCP multi-cloud"
|
||||
description: |
|
||||
Expert cloud architect specializing in AWS/Azure/GCP multi-cloud
|
||||
infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost
|
||||
optimization, and modern architectural patterns. Masters serverless,
|
||||
microservices, security, compliance, and disaster recovery. Use PROACTIVELY
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: competitive-landscape
|
||||
description: "This skill should be used when the user asks to \\\"analyze"
|
||||
description: |
|
||||
This skill should be used when the user asks to \\\"analyze
|
||||
competitors", "assess competitive landscape", "identify differentiation",
|
||||
"evaluate market positioning", "apply Porter's Five Forces", or requests
|
||||
competitive strategy analysis.
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: conductor-setup
|
||||
description: "Initialize project with Conductor artifacts (product definition,"
|
||||
description: |
|
||||
Initialize project with Conductor artifacts (product definition,
|
||||
tech stack, workflow, style guides)
|
||||
metadata:
|
||||
argument-hint: "[--resume]"
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: conductor-validator
|
||||
description: "Validates Conductor project artifacts for completeness,"
|
||||
description: |
|
||||
Validates Conductor project artifacts for completeness,
|
||||
consistency, and correctness. Use after setup, when diagnosing issues, or
|
||||
before implementation to verify project context.
|
||||
allowed-tools: Read Glob Grep Bash
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: content-marketer
|
||||
description: "Elite content marketing strategist specializing in AI-powered"
|
||||
description: |
|
||||
Elite content marketing strategist specializing in AI-powered
|
||||
content creation, omnichannel distribution, SEO optimization, and data-driven
|
||||
performance marketing. Masters modern content tools, social media automation,
|
||||
and conversion optimization with 2024/2025 best practices. Use PROACTIVELY for
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
---
|
||||
name: context-driven-development
|
||||
description: "Use this skill when working with Conductor's context-driven"
|
||||
description: |
|
||||
Use this skill when working with Conductor's context-driven
|
||||
development methodology, managing project context artifacts, or understanding
|
||||
the relationship between product.md, tech-stack.md, and workflow.md files.
|
||||
metadata:
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user