agentfolio

Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

31,392 stars

Best use case

agentfolio is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "agentfolio" skill to help with this workflow task. Context: Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/agentfolio/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/agentfolio/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/agentfolio/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How agentfolio Compares

Feature / AgentagentfolioStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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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