Claude Skills

388 community-built Agent Skills for developers running Claude Code or a rival coding agent

No video published yet. The write-up below covers what the tool does and how to try it.

Category
AI agents & assistants
Audience
Developers

Published Updated

Claude Skills (the GitHub repository alirezarezvani/claude-skills) is a community-built library of pre-packaged Agent Skills for Claude Code and other terminal coding agents — 388 of them in one place, along with ready-made sub-agents and custom slash commands. It is aimed at developers who already run an AI coding agent daily and want it to handle narrow, specialised jobs better than a plain prompt does, and who are prepared to read third-party code before letting it run.

What it does

A Skill is a folder of instructions an agent loads when it decides the task calls for it. This repository collects those folders at scale and sorts them by domain: engineering, marketing, product, compliance, finance, even C-level advisory. Browsing the list is much of the appeal — there are entries for things like financial modelling, resume writing and computer-vision review that an agent would otherwise improvise.

By the repository's own advertised counts it ships:

  • 388 "production-ready" skills
  • 30+ ready-made sub-agents
  • 70+ custom slash commands
  • 727 stdlib-only Python CLI tools
  • 99 installable "marketplace" plugins, packaged for 13 coding agents

Those are the authors' figures, not an independent audit. Supported agents go beyond Anthropic's own tool — Claude Code, OpenAI Codex, Gemini CLI, Cursor, Aider and Windsurf among them — and the licence is MIT. Per star-history.com, the repository stood at roughly 27,000 stars and about 3,900 forks in early October 2026, around #1485 most-starred on GitHub.

How it works

Agent Skills is Anthropic's own feature, not something this project invented. Each skill is a directory holding an instructions file (SKILL.md) and, optionally, scripts and reference documents. The agent reads the short description, decides the skill is relevant, and pulls the rest into context on demand — so hundreds of installed skills do not mean hundreds of pages of prompt on every request.

The part worth slowing down on: a skill is code and instructions your agent executes with your permissions. There is no sandbox between a downloaded skill and your filesystem, your shell or your credentials. Installing someone else's skill grants it the same reach the agent already has. The video cites a 2026 study that found 26.1% of marketplace skills carried a security flaw; the material collected here does not name the study or who ran it, so treat that figure as a pointer rather than a settled measurement.

Getting started

The repository itself costs nothing — MIT licence, public clone at github.com/alirezarezvani/claude-skills. The intelligence is the paid part: the video states that using these skills with Claude Code requires a paid Claude plan, meaning Pro, Max, Team or Enterprise. If you run one of the other supported agents instead, you pay whatever that agent's model access costs; the material here doesn't break that down.

The project doesn't list hardware requirements — nothing in the collected material names an operating system, memory or GPU floor, which fits a tool whose heavy lifting happens in a hosted model.

Installation is either a clone or one of the 99 marketplace plugins, depending on how much you want at once. The exact install command isn't in the material saved here, so take it from the repository's README rather than from this page — and before you run anything, open the SKILL.md and any scripts in the folder you are about to install. They are short. Reading them is the whole mitigation.

When to use it / when not

The main catch is not quality, it is trust: 388 skills is 388 folders of unreviewed third-party instructions, and the delivery mechanism has no isolation.

Use it instead of just asking Claude when you want repeatable, structured output for a recurring task — the same compliance review or financial model, in the same shape, without rewriting the prompt each time — and you are willing to audit the folder once.

Don't use it if you work on a machine with credentials or client data you cannot afford to expose, or if you plan to bulk-install dozens of skills you have not opened. The convenience of the catalogue is exactly what makes the bulk approach risky.

Alternatives

Anthropic maintains anthropics/skills, a small official reference set of roughly 18 skills: document creation, PDF, Word, Excel and PowerPoint editing, design, and MCP-server building. It is far narrower, and it comes from the vendor. If you want the mechanism with the smallest trust surface, start there and add from this repository selectively. The third option is no skills at all — for one-off work, a well-written prompt still does the job.

Take this repository seriously if you run a coding agent as part of your daily work and keep hitting tasks where the generic answer is nearly right: the catalogue is a real shortcut, and the breadth is genuine. Take it just as seriously as a security surface, because the same openness that produced 388 skills means nobody is vetting them on your behalf. Read the folder, install a handful, and treat each one as code you are responsible for.

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