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Agent Skills

Agent skills are self-contained bundles of instructions, reference material, and scripts that an AI agent loads only when a task calls for them. A skill declares what it covers and when it applies, so the agent decides for itself whether to pull it into context instead of carrying every instruction at all times.

The pattern lets an agent’s capabilities grow without its working context growing with them. Authors publish skills as plain files in a repository, and users install the ones they need. Agent skills are commonly paired with agent harnesses and the Model Context Protocol, and are used to capture coding conventions, design systems, domain workflows, and organization-specific procedures.

Here are 17,744 public repositories matching this topic...

open-design

The 1st Collaborative AI Design Agent Workspace. Local-first and open source. Create motion, prototypes, websites, apps, dashboards, presentations, images, and videos with your team and AI agents. Share work, exchange feedback, and iterate together in one workspace.

  • Updated Oct 27, 2026
  • TypeScript
career-ops

Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover letter, get interview prep and a job application tracker. It helps you fill in each application; you press Submit. Runs locally in your AI coding CLI (Claude Code, Codex, OpenCode and more).

  • Updated Oct 27, 2026
  • JavaScript

Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Install from npm, the Claude Code plugin marketplace, or npx skills. Codex, Cursor, OpenCode, 60+ agents.

  • Updated Oct 24, 2026
  • Python