About

What this is

AgentSkills.site is an independent reference site about agent skills — the SKILL.md-based system, standardized at agentskills.io, that lets AI agents load specialized capabilities on demand. We publish focused, verified guides organized around specific agent ecosystems. Five runtime guides are live: Hermes Agent, the open-source agent built by Nous Research; Claude Code, Anthropic's agentic coding CLI; Codex, OpenAI's coding agent; Cursor, the AI code editor; and OpenClaw.

We are not affiliated with Nous Research, Anthropic, OpenAI, Cursor, OpenClaw, or any agent vendor we write about. We don't sell a product related to any of these tools.

Why this exists

Search results for emerging technical topics like this fill quickly with content that either lightly rewrites the official documentation, or ranks things ("best skills," "top tools") without saying what the ranking is actually based on. Neither is that useful if you're trying to get something working. We wrote each page in this cluster only after checking what already ranks and identifying a clear reason for the page to exist beyond paraphrasing that. Sometimes that reason is missing information — a mechanic nobody explained, a fact scattered across multiple docs pages that nobody had assembled in one place. Just as often it's substantially better synthesis, organization, verification against primary sources, or a more usable structure than what's already out there — the individual facts don't have to be novel for the page to be worth publishing, as long as putting them together this way is. The research notes behind this cluster are the basis for what got published; pages that didn't clear that bar didn't get written.

Editorial methodology

Primary sources first. For factual and technical claims — commands, file paths, configuration keys, system behavior — we go to the official documentation and the official GitHub repository directly, not to secondary writeups. Where we cite a command or path, we cross-checked it against the documented source and, where practical, against the actual source code in the repository (not just the marketing docs site).

Community sources are cited as what they are. When we reference a community repository, a third-party tool, or a claim made by an unofficial source, we attribute it as such — we don't launder a repo's own marketing claim ("70+ verified skills") into a fact we assert independently.

No fabricated testing. We do not claim to have run software, installed skills, or benchmarked anything unless we actually did. Where a page discusses expected behavior based on documentation rather than direct testing, it says so.

Official facts vs. our interpretation. Where we're explaining documented behavior, we say what's documented. Where we're offering a recommendation, a category judgment, or a "here's what we'd check" — that's clearly framed as editorial judgment, not as a vendor's stated fact.

No fake precision. If public evidence doesn't support a ranking or a specific number, we say that directly instead of presenting a guess as data. This is why our "best skills" coverage uses stated criteria and categories rather than a numbered list.

Corrections and updates

Software documentation changes, and so does the skills ecosystem this site covers. When we're made aware of something that's gone stale or turns out to be wrong, we update the affected page and its "Updated" date. We don't quietly rewrite history — if a page's core claims change materially, that's a new "Updated" date, not a silent edit.

This site does not use invented author personas or fabricated credentials. Pages are published under editorial ownership of AgentSkills.site as a whole, not an individual byline, because that's an accurate description of how they're produced.

Reusing this data

The structured dataset behind the skills library — skills, topics, creators, sources, and this site's own analysis fields (what a skill does, when to use it, when not to) — is published as JSON at /skills.json, under CC-BY-4.0, attributed to AgentSkills.site. That license covers this dataset's structure and our own analysis; it doesn't relicense the underlying skills themselves, which stay under whatever license their own source carries (recorded per source in the export).

Two other machine-readable exports exist for the same reason this site exists for humans — so the facts don't have to be re-derived from HTML: /llms.txt is a short index of every page, and /llms-full.txt inlines the full text of all of them. Every rule the SKILL.md validator checks also has a real page at /skill-md/rules/, sourced the same way as everything else here.

What's next

The architecture is built to extend to additional agent ecosystems without restructuring what already exists. New runtime clusters ship only when the underlying research clears the same primary-source and information-gain standard as the five already live; breadth by itself is not the goal.