agentpack

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Write your agent skills once. Ship them everywhere.

Every AI coding agent invented its own plugin layout: Cursor reads .cursor/skills/, Claude Code reads .claude-plugin/ + skills/, Codex reads .codex/skills/, GitHub Copilot reads .github/skills/, and the vendor-neutral standard uses .agents/skills/. If you maintain a skill pack or plugin, you end up hand-maintaining five slightly different copies of the same content.

agentpack is a Babel for agent plugins: you keep one source of truth — a folder of SKILL.md files plus a single agentpack.yaml — and one command generates correct, ready-to-publish bundles for every platform, including the Claude Code plugin.json manifest and marketplace.json.

• Zero dependencies. Pure Python standard library. pip install and go.
• Validates before it builds. Catches missing descriptions, name/folder mismatches, non-kebab-case names, broken JSON — the things that silently make a skill invisible to an agent.
• Knows each platform's dialect. Frontmatter fields a host doesn't support are dropped (and reported), globs is mapped to paths for Cursor, slash commands are converted to manual-invocation skills on platforms without a commands directory.
• Windows-first. Developed and tested on Windows, Linux and macOS.

Install

pip install shipskills   # installs the `agentpack` command
# or from source:
git clone https://github.com/superman2003/agentpack && cd agentpack && pip install .

Quick start

# scaffold a project
agentpack init my-toolkit --name my-toolkit
cd my-toolkit

# edit agentpack.yaml and skills/example-skill/SKILL.md, then:
agentpack validate
agentpack build

agentpack build produces:

dist/
├── claude/                          # Claude Code plugin + marketplace
│   ├── .claude-plugin/marketplace.json
│   └── my-toolkit/
│       ├── .claude-plugin/plugin.json
│       ├── skills/<name>/SKILL.md
│       └── commands/<name>.md
├── cursor/.cursor/skills/<name>/SKILL.md
├── codex/.codex/skills/<name>/SKILL.md
├── copilot/.github/skills/<name>/SKILL.md
└── agents/.agents/skills/<name>/SKILL.md   # vendor-neutral standard

Copy the tree for your platform into your repo (or point Claude Code at the plugin with --plugin-dir), and you're published.

Source layout

You write this once:

my-toolkit/
├── agentpack.yaml           # name, version, description, author, targets
├── skills/
│   └── review-pr/
│       ├── SKILL.md         # YAML frontmatter + Markdown instructions
│       └── references/…     # optional extra files, copied verbatim
├── commands/                # optional flat slash-commands (.md)
├── agents/                  # optional Claude Code subagents (.md)
├── hooks/hooks.json         # optional Claude Code hooks (passed through)
└── .mcp.json                # optional MCP server config (passed through)

agentpack.yaml

name: my-toolkit            # kebab-case, required
version: 1.0.0              # semver
description: What this plugin does and when agents should use it.
author:
  name: Your Name
  url: https://github.com/your-name
license: MIT
keywords: [code-review, git]
targets: [claude, cursor, codex, copilot, agents]

SKILL.md

---
name: review-pr            # must match the folder name
description: Use when asked to review a pull request or diff.
paths: "**/*.py"           # optional; Cursor-style file scoping
---

# Instructions for the agent…

Commands

How platform differences are handled

Everything dropped or converted is printed as a note: during the build, so there are no silent surprises.

Example

A complete working example lives in examples/code-review-toolkit/. Build it with:

agentpack build examples/code-review-toolkit

Development

python -m unittest discover tests -v

No dependencies needed, for tests either.

License

MIT