agent-resources-project

作者 kasperjunge已验证

Install Claude Code skills from GitHub with one command: uvx add-skill 🚀 Also works for slash commands and subagents 🤙

249
Stars
20
Forks
TypeScript
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/kasperjunge/agent-resources-project

快速入门

使用 agent-resources-project 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

agr

The package manager for AI agents.

For teams who want to manage agent skills like software packages — the way npm, PyPI, and uv manage code. Install skills from any Git repo into Claude Code, Cursor, Codex, and more, then share them across your team like real dependencies.

PyPI License: MIT Docs

agr demo — install skills and list them


Why agr

agr is for teams who want to manage their agent skills as seriously as they manage their code — the way npm, PyPI, and uv manage software packages.

Skills make AI agents better at your work. But today they're copied around by hand, drift between machines, and live in tool-specific folders. agr treats them like real dependencies: declared in one manifest, locked to a version, installed with one command, and identical for every teammate, on every machine, in every tool.

That brings the same wins you already get from a package manager for code:

  • Version & pin. agr.lock records the exact version of every skill, so a skill that works today keeps working tomorrow — no silent upstream changes breaking your agents. Upgrade on purpose, when you choose, with agr upgrade.
  • Distribute effortlessly. Publishing a skill is just pushing to a Git repo; installing one is agr add owner/repo/skill. No registry to set up, no files to email around.
  • One source of truth for the team. The skills your agents use are part of your repo — reviewed in PRs, versioned in Git, and shared like any other dependency. Everyone runs the same skills, so your agents behave consistently across the whole team.
  • Onboard in one command. A new teammate clones the repo, runs agr sync, and their agents are set up exactly like everyone else's — same skills, same standards, day one.

Install

uv tool install agr

What you can do with it

Five things. That's the whole tool.

1. Install a skill from a Git repo

agr add anthropics/skills/pdf

Handles are just a path into GitHub: owner/repo/skill. anthropics/skills/pdf is the pdf/ directory inside github.com/anthropics/skills. Any public repo works — no registry, no publishing step.

agr add auto-creates agr.toml, detects which AI tools you use, and installs the skill into each. Then invoke it in your tool:

ToolInvoke with
Claude Code/pdf
Cursor/pdf
OpenAI Codex$pdf
OpenCodepdf
GitHub Copilot/pdf
Pi/pdf

2. Use your own local skills

Point at a directory on disk instead of a repo:

agr add ./skills/my-internal-skill

Great for skills you're still writing, or ones that never leave your codebase. They sync into every tool exactly like remote skills.

3. Share one skill environment with your team

.claude/skills/, .cursor/skills/, … are build artifacts — like .venv/ or node_modules/. Add them to .gitignore. Commit agr.toml and agr.lock instead:

tools = ["claude", "cursor"]

dependencies = [
    {handle = "anthropics/skills/pdf", type = "skill"},
    {handle = "anthropics/skills/frontend-design", type = "skill"},
    {path = "./skills/my-internal-skill", type = "skill"},
]

A new teammate clones the repo and runs:

agr sync   # like `npm install`, but for AI agents

Now everyone has the same skills, the same standards, in every tool.

4. Keep skills up to date

agr upgrade            # all skills
agr upgrade pdf        # just one

Re-fetches skills at their latest upstream version and updates agr.lock.

5. Try a skill without installing it

agrx anthropics/skills/pdf

Downloads and runs a skill once, then throws it away — nothing added to agr.toml, nothing left behind.


All commands

CommandWhat it does
agr add <handle|path>Install a skill and add it to agr.toml
agr remove <handle>Uninstall a skill
agr syncInstall everything in agr.toml
agr upgrade [handle...]Re-fetch skills at their latest version
agr listShow installed skills
agrx <handle>Run a skill once, without installing

Add -g to add, remove, sync, or list to manage global skills, available across all your projects.


Community skills

agr add dsjacobsen/agent-resources/golang-pro              # Go — @dsjacobsen
agr add maragudk/skills/collaboration                      # Workflow — @maragudk
agr add madsnorgaard/drupal-agent-resources/drupal-expert  # Drupal — @madsnorgaard

Built something? Share it here.


常见问题

What is agent-resources-project?

agent-resources-project is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by kasperjunge. Install Claude Code skills from GitHub with one command: uvx add-skill 🚀 Also works for slash commands and subagents 🤙. It has 249 GitHub stars.

Is agent-resources-project safe to use?

Yes. agent-resources-project passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install agent-resources-project?

Clone the repository with "git clone https://github.com/kasperjunge/agent-resources-project" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is agent-resources-project written in?

agent-resources-project is primarily written in TypeScript. It is open-source under kasperjunge on GitHub, so you can review or fork the full source.

Are there alternatives to agent-resources-project?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agent-resources-project against similar tools.

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