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Claude Code Skills & Plugins

github.com/alirezarezvani/claude-skills
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Category
Developer Tools
Rank

Previous survey · No. 743 ·

Pricing
Open Source
Type
TOOL
Use case
Agent Building
Interfaces
Agent Skill / Plugin
Latest release
v2.12.0
Date

About

An open-source library of 388 modular 'skill' packages that give AI coding agents like Claude Code, OpenAI Codex, Gemini CLI, and Cursor domain expertise across engineering, security, marketing, compliance, and C-level advisory tasks. Each skill bundles structured instructions, stdlib-only Python CLI tools, and reference templates, and a conversion script ports the entire set to 13 different coding-agent formats.

What it does

This is a large collection of instruction kits, each one a folder pairing a written playbook with small helper scripts and supporting files, that an AI assistant reads before acting so it behaves like a hired specialist: running a security pass, sketching a database schema, drafting a sprint plan, checking brand voice. One source tree gets rewritten by an install step into whatever native format a given assistant expects, so the same playbook works across many different tools rather than just one vendor's.

Why it's ranked here

It earns a look for its engineering, not just its breadth: the collection ships a manifest checker that caught its own packaging output failing a platform's plugin loader, and the root cause and fix are documented candidly rather than quietly patched over. That is the behavior of a maintained pipeline with a feedback loop, not a folder of loose prompts someone dumped and walked away from, and it is what separates a skill library worth trusting from one that only accumulates files.

What's good

Every skill follows the same shape, a short instruction file plus small single-purpose scripts, so a reader can judge one by skimming any other rather than learning a new structure each time. The scripts avoid third-party dependencies entirely, so nothing beyond a plain interpreter is needed to run them. A bundled auditor scans a skill folder before install and flags command injection, data exfiltration, and prompt injection patterns, treating a stranger's skill code as something to check rather than trust on sight.

Tradeoffs

The value here sits entirely in written instructions an agent has to interpret correctly, not in code a computer enforces, so quality is necessarily uneven: a security-review skill and a casual productivity skill sit in the same tree with no shared bar for depth. The set reaches well past coding into marketing, compliance, and executive advisory, which is a lot of ground for anyone to keep accurate as each domain's facts move on without the maintainer.

How to use it well

Best treated as a pick-and-choose kit, not an install-everything default: bring in the one or two domain bundles that match a real workflow, a security review pass or a sprint plan, rather than loading dozens of specialist voices that then compete for the same prompt. Run the bundled auditor on any skill before pointing it at sensitive work, and treat the executive-advisor skills as a first draft for a professional to check, never as a stand-in for one.

Technical notes+

README.md sets out the install surface as a git clone plus a platform-specific shell script, with no package manager step and no API keys required for the bundled scripts, and it instructs users to run a bundled auditor script against any third-party skill before installing it. pyproject.toml configures pytest with testpaths = ["tests"] and python_files = ["test_*.py"] but declares no build backend, consistent with README.md describing a script-based install rather than a packaged one. .mcp.json registers exactly one MCP server, a stdio-transport process named tessl. docs/getting-started.md and docs/orchestration.md lay out a separate install command per supported coding agent plus a persona-skill-task-agent combination model for cross-domain work. docs/skills/index.md, docs/agents/index.md, and docs/commands/index.md are generated catalogue pages for the skill, agent-orchestrator, and slash-command inventories. CHANGELOG.md records a real packaging defect: a manifest-writing script embedded extension fields that the Claude Code plugin loader rejects outright on any unrecognized key, caught by an internal check and fixed by relocating that data to a separate file, with the root cause and fix both logged in the entry rather than silently amended.

Observed

License
License: MIT.
Install surface
Installed by cloning the repository and running a shell script; not published to a package registry.
Dependencies
Bundled Python tools depend only on the standard library, no third-party pip installs required.
Security tooling
Includes a security-auditor script intended to scan a skill folder for command injection, data exfiltration, prompt injection, and supply-chain risk before it is trusted.
Testing
Ships a pytest configuration targeting a tests directory, though that directory's contents were not among the files fetched.
MCP server
Declares one MCP server, using stdio transport, in its MCP configuration.
Distribution
Distributed natively for several coding agents and converted by script into rules or skill formats for several more, rather than requiring per-agent hand conversion.
Quality process
The changelog documents an internal manifest-compatibility check in the packaging pipeline that has caught at least one shipped defect before it reached users.

Read from README.md, pyproject.toml, docs/getting-started.md, docs/orchestration.md, docs/skills/index.md, docs/agents/index.md, docs/commands/index.md, .mcp.json, CHANGELOG.md.

What it can do

  • Provide modular skill packages that give AI coding agents domain expertise across engineering, security, marketing, compliance, and advisory tasks

    Skill package → Domain expertise instructions for AI agent

  • Convert the skill library into formats compatible with 13 different coding-agent tools

    Skill library → Converted skill files in 13 agent formats

Tags

claude-codeskillai-coding-agentpluginprompt-engineeringdeveloper-toolsopen-source

Tech Stack

Python

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