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AgentFolio Agent Discovery

Helps the agent find, compare and research autonomous AI agents using the AgentFolio directory

Stars
49,023
Licence
MIT
Files
1 file

What it does

Once installed, the agent knows how to act as a guide for finding and comparing existing AI agents, frameworks and tools listed in the AgentFolio online directory. It suggests search terms, lists what to note about each candidate (core promise, inputs and outputs, autonomy model, deployment model), and helps turn findings into comparison tables or build-versus-buy notes. It is a research playbook, not a tool that automatically pulls live data.

Great for

  • Teams deciding whether to adopt an existing AI agent or build their own
  • Product or founders mapping the landscape of agent tools before a project
  • Developers looking for examples of agent UX or safety patterns

Skip it if

  • Verifying vendor claims, pricing or benchmarks: the skill itself says directory entries can be stale or promotional and must be checked against vendor documentation
  • Tasks needing live or guaranteed-accurate data: the skill contains no code or data feed and relies on the agent or user browsing the website

Try asking

  • “Use AgentFolio to find 3 autonomous AI agents focused on code review and compare their supported languages”
  • “Scan AgentFolio for customer support triage agents and list notable UX patterns”
  • “Before we build our own research assistant, map existing research agents and highlight gaps”
Step-by-step guide: how to use AgentFolio Agent DiscoveryInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    agentfolio.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip agentfolio.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip agentfolio.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Ask for a comparison table with columns for capabilities, integrations, pricing and trust, then verify pricing against each vendor's own docs
  • Record the date you accessed each directory entry, since listings can go stale

What's inside

  • SKILL.md

Redistributed unmodified from sickn33/agentic-awesome-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.