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What you can do with Skill Corpus

SkillCorpus is an open-source Python pipeline that collects SKILL.md files from public repositories, curates and scores them, and provides retrieval models and evaluation tools for matching skills to agent tasks.

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EverMind-AI/SkillCorpus on GitHub

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Authorization notice. This tool is dual-use. Only use it on software, sites and systems you own or have explicit permission to test, and follow the relevant licenses and terms of service.

What do you want to do?

4 use cases

  • Fetch task-specific skills from SkillHub for an agent

    Search the hosted SkillHub catalog with a plain task description and inject the matching SKILL.md text into a prompt.

    View prompt
    Using the SkillCorpus API at https://skillhub.evermind.ai/openapi/v1/skills, search for skills matching the task <task description>, pick the most relevant result, fetch its skill_md, and output the injected prompt text. Verify that the returned skill_md is non-empty and that the skill license is shown in the metadata before using it.

  • Install the Skill Corpus plugin in your agent host

    Let your agent install the Skill Corpus plugin for OpenClaw, Hermes, Raven, WorkBuddy, or DeepSeek Harness.

    View prompt
    Read https://github.com/EverMind-AI/SkillCorpus/blob/main/skillcorpus_plugin/INSTALL.agent.md and install the SkillCorpus plugin for <host name>. Report which mode you configured (on demand or auto) and the path of the shared skills directory. Verify that a test query returns at least one skill.

  • Build a private skill corpus from your own registry

    Run the Skill Corpus pipeline on your own source registry, applying curation, safety, and license gates.

    View prompt
    Clone https://github.com/EverMind-AI/SkillCorpus, configure the aggregate step with the source registry at <registry path>, run the build command in skillcorpus/cli.py, and report the exported corpus path and skill count. Verify that the export contains skills.parquet and the dataset card.

  • Self-host the Skill Corpus retrieval models

    Serve the released bi-encoder and reranker behind your own /embed and /score endpoint.

    View prompt
    In the SkillCorpus repository, install skillcorpus/match/requirements.txt, start the server with run_server.sh using the released EverMind-AI bi-encoder and reranker checkpoints, then send a test query to /embed and /score. Report the top three skill ids for <task description>. Verify that the scores are returned for each candidate.

How to use Skill Corpus

  1. Check you have what it needs: Internet access to reach the hosted SkillHub API or the plugin install guide; Python 3 for the example script or the self-hosting setup; An OpenAI-compatible API key only if you use the --ask option of the example script.
  2. Open EverMind-AI/SkillCorpus on GitHub and read the README and license.
  3. Run curl "https://skillhub.evermind.ai/openapi/v1/skills?q=extract+tables+from+a+PDF" and note the id of a relevant result.
  4. Fetch the skill_md for that id using the read tier described in docs/integrations.md.
  5. Insert the returned skill_md text into your agent's system or task prompt.
  6. Run your agent on the task and check that it follows the injected steps.

These steps come from our top use case, Fetch task-specific skills from SkillHub for an agent, which also has a copy-paste agent prompt.

Skill Corpus alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and agent builders who want their coding or workflow agents to pull task-specific procedures from a curated skill catalog instead of relying on hand-written prompts.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/EverMind-AI/SkillCorpus · Back to Hot repos

Requirements

  • Internet access to reach the hosted SkillHub API or the plugin install guide
  • Python 3 for the example script or the self-hosting setup
  • An OpenAI-compatible API key only if you use the --ask option of the example script
  • PyTorch and transformers (from skillcorpus/match/requirements.txt) and a machine able to run two 0.6B models for self-hosting
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Questions about Skill Corpus

What is Skill Corpus?

SkillCorpus is an open-source Python pipeline that collects SKILL.md files from public repositories, curates and scores them, and provides retrieval models and evaluation tools for matching skills to agent tasks. It is an open-source project on GitHub: https://github.com/EverMind-AI/SkillCorpus.

Who is Skill Corpus for?

Developers and agent builders who want their coding or workflow agents to pull task-specific procedures from a curated skill catalog instead of relying on hand-written prompts.

What can I do with Skill Corpus?

4 use cases so far, for example: Fetch task-specific skills from SkillHub for an agent; Install the Skill Corpus plugin in your agent host; Build a private skill corpus from your own registry. Each has steps and a copy-paste agent prompt.

What do I need to run Skill Corpus?

Internet access to reach the hosted SkillHub API or the plugin install guide; Python 3 for the example script or the self-hosting setup; An OpenAI-compatible API key only if you use the --ask option of the example script; PyTorch and transformers (from skillcorpus/match/requirements.txt) and a machine able to run two 0.6B models for self-hosting.

What are alternatives to Skill Corpus?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Skill Corpus safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.