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jersonboydmilan/agent-skills-compendium

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6 stars 품질 70 트렌드 34MIT

An open registry of 76 fully specified AI agent skills — taxonomy, canonical schema, composer, governance model, and a fleet runner that deploys hundreds of agents against one objective and rehearses...

개요

A structured intelligence layer for building, understanding, and deploying AI agent capabilities. This is a , not a prompt library. The distinction it is built on: - 🔧 A is something an agent can use — a browser, a SQL client, a deployment system. - 🧠 A is something an agent knows how to accomplish — with a trigger, inputs, a procedure, validation criteria, failure modes and an escalation path. A skill may invoke several tools to produce a validated outcome. 76 skills 20 categories 5 architectural layers 49 normalised tools 15 public API routes MIT per definition A prompt produces a result once. A skill declares a trigger, typed inputs, a procedure, validation criteria, failure modes and an escalation path — and can therefore be tested, governed and composed. MCP and equivalents answer how an agent reaches a system. A skill answers what it is trying to accomplish and how it knows it succeeded. They compose; neither replaces the other. That is a packaging format.

README

원문 README의 일부입니다. 원문 보기.


A structured intelligence layer for building, understanding, and deploying AI agent capabilities.

This is a capability registry, not a prompt library. The distinction it is built on:

  • 🔧 A tool is something an agent can use — a browser, a SQL client, a deployment system.
  • 🧠 A skill is something an agent knows how to accomplish — with a trigger, inputs, a procedure, validation criteria, failure modes and an escalation path.

A skill may invoke several tools to produce a validated outcome.

GitHub에서 전체 README 보기

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