Agent Skills

Give your AI a useful way to work. Find a skill for your next task, see what it needs, and download the complete files from GitHub.

Find your next skill

47 results
  1. Development

    Run ML in JavaScript

    Use Transformers.js pipelines for browser or server-side inference.

    Hugging Face Apache-2.0

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  2. Research

    Manage academic citations

    Find paper metadata, validate references, and prepare BibTeX entries.

    K-Dense MIT

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  3. Data & AI

    Audit and explore datasets

    Profile supported local data files and document missingness, leakage, and outlier risks.

    K-Dense MIT

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  4. Data & AI

    Analyze vector geospatial data

    Inspect and transform vector datasets with GeoPandas and coordinate-system checks.

    K-Dense MIT

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  5. Writing & work

    Convert files to Markdown

    Convert supported documents into Markdown for analysis, search, and retrieval workflows.

    K-Dense MIT

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  6. Research

    Explore research directions

    Generate and compare research ideas with explicit assumptions and evaluation criteria.

    K-Dense MIT

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  7. Research

    Evaluate scientific evidence

    Examine claims, confounders, bias, and the strength of scientific evidence.

    K-Dense MIT

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  8. Data & AI

    Plan statistical analyses

    Choose tests, check assumptions, and report effect sizes and uncertainty.

    K-Dense MIT

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  9. Development

    Systematic debugging

    Trace unexpected behavior to a reproducible cause before changing code.

    Jesse Vincent MIT

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  10. Development

    Resolve GitHub review comments

    Collect pull-request review threads and turn selected comments into focused code changes.

    OpenAI Apache-2.0

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  11. Development

    Diagnose GitHub Actions failures

    Inspect failing PR checks and GitHub Actions logs to identify actionable failures.

    OpenAI Apache-2.0

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  12. Data & AI

    Create Jupyter notebooks

    Scaffold clean experiment and tutorial notebooks with bundled templates.

    OpenAI Apache-2.0

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  13. Writing & work

    Capture knowledge in Notion

    Turn notes and conversations into linked wiki pages, decisions, or FAQs.

    Notion Labs MIT

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  14. Writing & work

    Prepare meetings from Notion

    Build agendas and pre-reads from relevant Notion context.

    Notion Labs MIT

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  15. Research

    Research across Notion pages

    Synthesize multiple Notion sources into a cited brief or comparison.

    Notion Labs MIT

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  16. Development

    Turn Notion specs into tasks

    Translate a product specification into an implementation plan and trackable tasks.

    Notion Labs MIT

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  17. Writing & work

    Create and inspect PDFs

    Generate, extract, and visually inspect PDFs with Python and page rendering.

    OpenAI Apache-2.0

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  18. Development

    Automate browser workflows

    Drive a browser using Playwright CLI snapshots, locators, and a bundled wrapper.

    OpenAI Apache-2.0

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  19. Design

    Capture desktop screenshots

    Capture a screen, app window, or region using platform-specific helpers.

    OpenAI Apache-2.0

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  20. Development

    Review application security

    Review supported Python, JavaScript/TypeScript, and Go code against security guidance.

    OpenAI Apache-2.0

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  21. Development

    Model application threats

    Map assets, trust boundaries, abuse paths, and mitigations using repository evidence.

    OpenAI Apache-2.0

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  22. Design

    Generate spoken narration

    Turn approved text into narration with the bundled OpenAI Audio API client.

    OpenAI Apache-2.0

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  23. Writing & work

    Transcribe recordings

    Convert audio to text with optional speaker labels using OpenAI’s API.

    OpenAI Apache-2.0

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FAQ

Agent Skills FAQ

Practical answers for choosing, installing, and using your first skill.

What is an Agent Skill?

An Agent Skill is a reusable folder of instructions and supporting files for a particular task. Its SKILL.md explains when and how the agent should use it. Some skills also contain scripts, examples, or reference material. A compatible AI agent reads these files to guide its work; the folder is not a standalone application.

Agent Skills
How is a Skill different from a prompt?

A prompt gives an AI assistant instructions in a conversation. A Skill packages a repeatable workflow with reusable instructions and, when needed, supporting files. Use a prompt for a quick request; consider a Skill when you repeatedly need the same process or reference material. You still provide the goal and context for each task.

How do I choose a useful Agent Skill?

Search for the result you want, such as copywriting, competitor research, or web testing. Compare the tasks, prerequisites, and expected output on the detail page. Start with one skill that matches a small real task and check whether your agent has the file, network, or execution capabilities it needs.

How do I download and start using a Skill?

Open a skill's detail page and download its ZIP from GitHub. Keep the complete folder, including SKILL.md, references, scripts, and license. Add it using your agent's skill installation method, complete the listed prerequisites, and confirm that the agent can discover it. Then send the example request with your own materials and check the expected result.

How do I install a Skill in Claude Code?

Extract the skill folder into .claude/skills/<name>/ inside your project. SKILL.md should be directly inside that folder, rather than inside another nested copy of it. Use the original skill name when asking Claude Code to apply it. Install any runtime or external service dependencies listed on the skill's detail page separately.

Claude Code
How do I install a Skill in Codex?

Place the extracted skill folder in .agents/skills/<name>/ inside your project, with SKILL.md directly inside it. Confirm that Codex has discovered the skill before starting a task. A downloaded folder does not automatically configure external tools, accounts, or runtimes; follow the prerequisites for the particular skill.

Codex
Can I upload a Skill ZIP to Claude on the web?

If custom Skills are available for your account and organization, upload the ZIP through Customize → Skills and enable it. Keep the skill folder and supporting files together in the archive. Skills that depend on local software or unavailable connections may need a different environment even when the upload succeeds.

Claude
Why is my installed Skill not showing up or working?

Check the folder location, an extra nested directory, and whether SKILL.md is present. Confirm that the agent has refreshed its skill discovery, restarting the session if your tool requires it. If the skill is recognized but the task fails, check its runtime, network access, external connections, and required input files. The ZIP download alone does not satisfy these dependencies.

Can I use these Skills with Chinese requests?

You can ask an agent that supports Chinese to work with Chinese materials and produce Chinese output. Specify the desired language, audience, and terminology in your request. Results depend on the agent and skill, so check the output against your task requirements.

Are these Agent Skills free and open source?

The files in this collection are available from the public open-source-skills repository and its GitHub Releases, with original author attribution and licenses preserved. Read the included license for the particular skill. Downloading is free; the AI tool or external services you use may charge separately.

GitHub
How do I update or remove a Skill?

Compare the source version on the detail page with your installed copy. Save your own changes before replacing the folder with a newer complete package, then repeat a small task to check it. For a manual installation, remove the specific folder from the agent's skills directory. If you used an installer, use its update or removal process.

Have all Skills been tested, and what should I review?

The current collection has source, license, and package-content checks. It does not claim that every skill has completed real tasks in every agent. Review the files and prerequisites before enabling a skill, and check facts, citations, generated code, and proposed actions in its output. The examples describe expected results rather than verified demonstrations.