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feat: add agentfolio skill

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Co-authored-by: Cursor <cursoragent@cursor.com>
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CATALOG.md
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Generated at: 2026-02-08T00:00:00.000Z
Total skills: 930
Total skills: 931
## architecture (64)
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| `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 |

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README.md
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# 🌌 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**!

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data/catalog.json
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{
"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",

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skills/agentfolio/SKILL.md Normal file
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---
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.

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skills_index.json
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"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",