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Agent skill

Agentfolio

by majiayu000 in majiayu000/claude-skill-registry

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

MITAuto-check passed

Install Agentfolio

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill agentfolio -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry agentfolio --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent/agentfolio .claude/skills/agentfolio && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agentfolio
GitHub stars
666
Used in
3 other repos
Token cost
~1.1k tokens
SKILL.md length
576 words
Files
2
Skills in repo
971
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 3 steps: Landscape scan before building a new agent → Competitive and inspiration research for… → Vendor shortlisting
  • SKILL.md covers Capabilities, How to Use AgentFolio, Example Workflows and Example Prompts, plus 2 more sections
  • Reaches agentfolio.io

What it does

Agentfolio is an agent skill from majiayu000/claude-skill-registry. Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

Example prompts

  • “/agentfolio”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Landscape scan before building a new agent
  2. Competitive and inspiration research for a new skill
  3. Vendor shortlisting

What it can do on your machine

Read from SKILL.md and the folder at commit 000116a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • agentfolio.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agentfolio loads about 1.1k tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 576 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 000116a, republished under its MIT licence (© majiayu000). 576 words, ~1,109 tokens.

Download SKILL.mdSave it as .claude/skills/agentfolio/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
agentfolio
description
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
risk
safe
source
agentfolio.io
date_added
2026-02-27

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.
Show full SKILL.md (223 more words)Show less
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.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/agent/agentfolio of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 000116a

Used in 3 other repositories

We found 13 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agentfolio next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agentfolio compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agentfolio this skillmajiayu000/claude-skill-registry6663 repos~1.1kAutomated safety check: PassMIT
Researchalirezarezvani/claude-skills28k—~4.3kAutomated safety check: PassMIT
Research Ops Skillsalirezarezvani/claude-skills28k—~2.8kAutomated safety check: PassMIT
Researchcodewhale-hq/Codewhale41k—~138Automated safety check: PassMIT
Deep Researchaffaan-m/ECC274k—~1.5kAutomated safety check: WarnMIT
Gemini Deep Researchsickn33/agentic-awesome-skills47k1 repos~1kAutomated safety check: NotesApache-2.0

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Questions about Agentfolio

What does Agentfolio do?

Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory. Agentfolio is an agent skill from majiayu000/claude-skill-registry. Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

How do I install Agentfolio in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill agentfolio -a claude-code`. Or copy the skill folder (skills/agent/agentfolio in majiayu000/claude-skill-registry) into .claude/skills/agentfolio in your project. Claude Code loads it when a task matches its description.

How do I install Agentfolio in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill agentfolio -a codex`. Or copy the skill folder (skills/agent/agentfolio in majiayu000/claude-skill-registry) into .agents/skills/agentfolio in your project. Codex loads it when a task matches its description.

Can I use Agentfolio in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill agentfolio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentfolio, .gemini/skills/agentfolio, .github/skills/agentfolio and .opencode/skills/agentfolio in your project.

What does Agentfolio need to run?

SKILL.md names no scripts, command-line tools or credentials: Agentfolio is instructions for the agent only.

Does Agentfolio access the network?

SKILL.md names 1 domain. In commands or code: agentfolio.io; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Agentfolio safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agentfolio use?

Agentfolio is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agentfolio use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agentfolio?

Skills that share tags, products or a category with Agentfolio: Research (alirezarezvani/claude-skills, 28k stars), Research Ops Skills (alirezarezvani/claude-skills, 28k stars), Research (codewhale-hq/Codewhale, 41k stars) and Deep Research (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentfolio?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 971 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.