From 9d741b6b2fcf0b00de79f682b93559978b84d0ae Mon Sep 17 00:00:00 2001 From: sck_0 Date: Wed, 25 Feb 2026 15:54:33 +0100 Subject: [PATCH] feat: add agentfolio skill Co-authored-by: Cursor --- CATALOG.md | 5 +- README.md | 10 ++-- data/catalog.json | 23 ++++++++- skills/agentfolio/SKILL.md | 96 ++++++++++++++++++++++++++++++++++++++ skills_index.json | 9 ++++ 5 files changed, 135 insertions(+), 8 deletions(-) create mode 100644 skills/agentfolio/SKILL.md diff --git a/CATALOG.md b/CATALOG.md index 559d7f57..b6624532 100644 --- a/CATALOG.md +++ b/CATALOG.md @@ -2,7 +2,7 @@ Generated at: 2026-02-08T00:00:00.000Z -Total skills: 930 +Total skills: 931 ## architecture (64) @@ -117,13 +117,14 @@ Total skills: 930 | `startup-metrics-framework` | This skill should be used when the user asks about \"key startup | startup, metrics, framework | startup, metrics, framework, skill, should, used, user, asks, about, key | | `whatsapp-automation` | Automate WhatsApp Business tasks via Rube MCP (Composio): send messages, manage templates, upload media, and handle contacts. Always search tools first for c... | whatsapp | whatsapp, automation, automate, business, tasks, via, rube, mcp, composio, send, messages, upload | -## data-ai (151) +## data-ai (152) | Skill | Description | Tags | Triggers | | --- | --- | --- | --- | | `agent-framework-azure-ai-py` | Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgen... | agent, framework, azure, ai, py | agent, framework, azure, ai, py, foundry, agents, microsoft, python, sdk, creating, persistent | | `agent-memory-mcp` | A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). | agent, memory, mcp | agent, memory, mcp, hybrid, provides, persistent, searchable, knowledge, ai, agents, architecture, decisions | | `agent-tool-builder` | Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently... | agent, builder | agent, builder, how, ai, agents, interact, world, well, designed, difference, between, works | +| `agentfolio` | Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory. | agentfolio | agentfolio, skill, discovering, researching, autonomous, ai, agents, ecosystems, directory | | `agents-v2-py` | Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container imag... | agents, v2, py | agents, v2, py, container, foundry, azure, ai, sdk, imagebasedhostedagentdefinition, creating, hosted, custom | | `ai-agent-development` | AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents. | ai, agent | ai, agent, development, building, autonomous, agents, multi, orchestration, crewai, langgraph, custom | | `ai-agents-architect` | Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build ... | ai, agents | ai, agents, architect, designing, building, autonomous, masters, memory, planning, multi, agent, orchestration | diff --git a/README.md b/README.md index 55d765c3..33ffaba2 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ -# 🌌 Antigravity Awesome Skills: 930+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More +# 🌌 Antigravity Awesome Skills: 931+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More -> **The Ultimate Collection of 930+ Universal Agentic Skills for AI Coding Assistants — Claude Code, Gemini CLI, Codex CLI, Antigravity IDE, GitHub Copilot, Cursor, OpenCode, AdaL** +> **The Ultimate Collection of 931+ Universal Agentic Skills for AI Coding Assistants — Claude Code, Gemini CLI, Codex CLI, Antigravity IDE, GitHub Copilot, Cursor, OpenCode, AdaL** [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Claude Code](https://img.shields.io/badge/Claude%20Code-Anthropic-purple)](https://claude.ai) @@ -17,7 +17,7 @@ If this project helps you, you can [support it here](https://buymeacoffee.com/sickn33) or simply ⭐ the repo. -**Antigravity Awesome Skills** is a curated, battle-tested library of **930 high-performance agentic skills** designed to work seamlessly across all major AI coding assistants: +**Antigravity Awesome Skills** is a curated, battle-tested library of **931 high-performance agentic skills** designed to work seamlessly across all major AI coding assistants: - 🟣 **Claude Code** (Anthropic CLI) - 🔵 **Gemini CLI** (Google DeepMind) @@ -42,7 +42,7 @@ This repository provides essential skills to transform your AI assistant into a - [🎁 Curated Collections (Bundles)](#curated-collections) - [🧭 Antigravity Workflows](#antigravity-workflows) - [📦 Features & Categories](#features--categories) -- [📚 Browse 930+ Skills](#browse-930-skills) +- [📚 Browse 931+ Skills](#browse-931-skills) - [🤝 How to Contribute](#how-to-contribute) - [🤝 Community](#community) - [☕ Support the Project](#support-the-project) @@ -343,7 +343,7 @@ The repository is organized into specialized domains to transform your AI into a Counts change as new skills are added. For the current full registry, see [CATALOG.md](CATALOG.md). -## Browse 930+ Skills +## Browse 931+ Skills We have moved the full skill registry to a dedicated catalog to keep this README clean, and we've also introduced an interactive **Web App**! diff --git a/data/catalog.json b/data/catalog.json index d3fa186a..a5829b36 100644 --- a/data/catalog.json +++ b/data/catalog.json @@ -1,6 +1,6 @@ { "generatedAt": "2026-02-08T00:00:00.000Z", - "total": 930, + "total": 931, "skills": [ { "id": "3d-web-experience", @@ -359,6 +359,27 @@ ], "path": "skills/agent-tool-builder/SKILL.md" }, + { + "id": "agentfolio", + "name": "agentfolio", + "description": "Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.", + "category": "data-ai", + "tags": [ + "agentfolio" + ], + "triggers": [ + "agentfolio", + "skill", + "discovering", + "researching", + "autonomous", + "ai", + "agents", + "ecosystems", + "directory" + ], + "path": "skills/agentfolio/SKILL.md" + }, { "id": "agents-v2-py", "name": "agents-v2-py", diff --git a/skills/agentfolio/SKILL.md b/skills/agentfolio/SKILL.md new file mode 100644 index 00000000..3c6b8702 --- /dev/null +++ b/skills/agentfolio/SKILL.md @@ -0,0 +1,96 @@ +--- +name: agentfolio +description: "Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory." +source: agentfolio.io +risk: unknown +--- + +# AgentFolio + +**Role**: Autonomous Agent Discovery Guide + +Use this skill when you want to **discover, compare, and research autonomous AI agents** across ecosystems. +AgentFolio is a curated directory at https://agentfolio.io that tracks agent frameworks, products, and tools. + +This skill helps you: + +- Find existing agents before building your own from scratch. +- Map the landscape of agent frameworks and hosted products. +- Collect concrete examples and benchmarks for agent capabilities. + +## Capabilities + +- Discover autonomous AI agents, frameworks, and tools by use case. +- Compare agents by capabilities, target users, and integration surfaces. +- Identify gaps in the market or inspiration for new skills/workflows. +- Gather example agent behavior and UX patterns for your own designs. +- Track emerging trends in agent architectures and deployments. + +## How to Use AgentFolio + +1. **Open the directory** + - Visit `https://agentfolio.io` in your browser. + - Optionally filter by category (e.g., Dev Tools, Ops, Marketing, Productivity). + +2. **Search by intent** + - Start from the problem you want to solve: + - “customer support agents” + - “autonomous coding agents” + - “research / analysis agents” + - Use keywords in the AgentFolio search bar that match your domain or workflow. + +3. **Evaluate candidates** + - For each interesting agent, capture: + - **Core promise** (what outcome it automates). + - **Input / output shape** (APIs, UI, data sources). + - **Autonomy model** (one-shot, multi-step, tool-using, human-in-the-loop). + - **Deployment model** (SaaS, self-hosted, browser, IDE, etc.). + +4. **Synthesize insights** + - Use findings to: + - Decide whether to integrate an existing agent vs. build your own. + - Borrow successful UX and safety patterns. + - Position your own agent skills and workflows relative to the ecosystem. + +## Example Workflows + +### 1) Landscape scan before building a new agent + +- Define the problem: “autonomous test failure triage for CI pipelines”. +- Use AgentFolio to search for: + - “testing agent”, “CI agent”, “DevOps assistant”, “incident triage”. +- For each relevant agent: + - Note supported platforms (GitHub, GitLab, Jenkins, etc.). + - Capture how they explain autonomy and safety boundaries. + - Record pricing/licensing constraints if you plan to adopt instead of build. + +### 2) Competitive and inspiration research for a new skill + +- If you plan to add a new skill (e.g., observability agent, security agent): + - Use AgentFolio to find similar agents and features. + - Extract 3–5 concrete patterns you want to emulate or avoid. + - Translate those patterns into clear requirements for your own skill. + +### 3) Vendor shortlisting + +- When choosing between multiple agent vendors: + - Use AgentFolio entries as a neutral directory. + - Build a comparison table (columns: capabilities, integrations, pricing, trust & security). + - Use that table to drive a more formal evaluation or proof-of-concept. + +## Example Prompts + +Use these prompts when working with this skill in an AI coding agent: + +- “Use AgentFolio to find 3 autonomous AI agents focused on code review. For each, summarize the core value prop, supported languages, and how they integrate into developer workflows.” +- “Scan AgentFolio for agents that help with customer support triage. List the top options, their target customer size (SMB vs. enterprise), and any notable UX patterns.” +- “Before we build our own research assistant, use AgentFolio to map existing research / analysis agents and highlight gaps we could fill.” + +## When to Use + +This skill is applicable when you need to **discover or compare autonomous AI agents** instead of building in a vacuum: + +- At the start of a new agent or workflow project. +- When evaluating vendors or tools to integrate. +- When you want inspiration or best practices from existing agent products. + diff --git a/skills_index.json b/skills_index.json index 10357d7e..ebeeba04 100644 --- a/skills_index.json +++ b/skills_index.json @@ -143,6 +143,15 @@ "risk": "unknown", "source": "vibeship-spawner-skills (Apache 2.0)" }, + { + "id": "agentfolio", + "path": "skills/agentfolio", + "category": "uncategorized", + "name": "agentfolio", + "description": "Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.", + "risk": "unknown", + "source": "agentfolio.io" + }, { "id": "agents-v2-py", "path": "skills/agents-v2-py",