Datasetpublic

kishormorol/llm-skills-registry

LLM Skills Registry 226 first-party skills and capabilities across 13 AI assistant ecosystems, each with a category, a description, a usage example, and a link to the vendor's own documentation. This is the data behind SkillsAllYouNeed. What counts as a skill here A skill is a capability the vendor itself ships: something the assistant can do, triggered in a documented way. Third-party plugins and community prompt packs are out of scope, which is what keeps every… See the full description on the dataset page: https://huggingface.co/datasets/kishormorol/llm-skills-registry.

sourceHugging Facecc-by-4.0updated 10d agoView on Hugging Face

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LLM Skills Registry

226 first-party skills and capabilities across 13 AI assistant ecosystems, each with a category, a description, a usage example, and a link to the vendor's own documentation.

This is the data behind SkillsAllYouNeed.

What counts as a skill here

A skill is a capability the vendor itself ships: something the assistant can do, triggered in a documented way. Third-party plugins and community prompt packs are out of scope, which is what keeps every row checkable against a first-party source.

Covered ecosystems include Claude, Claude Code, ChatGPT, Codex, OpenCode, Cursor, Gemini, Perplexity, Microsoft 365 Copilot, GitHub Copilot, Antigravity, Kiro, and Pi.

Schema

Field	Description
`id`	Stable identifier, e.g. `cl-artifacts`
`name`	Skill name as the vendor calls it
`ecosystem`	Which assistant ships it
`category`	Functional grouping, e.g. Visual, Research, Code
`status`	Stable, beta, or deprecated, as documented
`description`	What the skill does
`trigger` / `example` / `howto`	How it is invoked in practice
`source`	Link to first-party documentation

python

from datasets import load_dataset

skills = load_dataset("kishormorol/llm-skills-registry", split="train")
claude = skills.filter(lambda r: r["ecosystem"] == "Claude")

Uses

Useful for comparing capability coverage across assistants, for grounding "can model X do Y" questions in documentation rather than guesswork, and as a seed list when building agent tooling.

Limitations

Vendor capabilities change quickly, and a registry is a snapshot. Each row carries its source link so you can re-check it. Corrections go through the GitHub repo, which is the source of truth.

Citation

bibtex

@software{morol_skills_registry,
  author  = {Morol, Md Kishor},
  title   = {SkillsAllYouNeed: An Open Registry of First-Party AI Skills},
  url     = {https://github.com/kishormorol/SkillsAllYouNeed},
  license = {CC-BY-4.0}
}