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Specification Website

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c-kick
specification-website

Query and apply The Website Specification — a platform-agnostic specification of what a good website does, with each item tagged required, recommended, optional, or avoid. Use when the user asks what their site should have, whether something is required, how to audit a URL, what's missing for agent readiness, or anything else where you'd otherwise be guessing at web best practice. Backs answers with primary sources (WHATWG, W3C, IETF RFCs, IANA, WCAG). Available as Markdown over HTTP and as an MCP server with search, list, fetch, checklist, and audit tools.

Overview

Publisherc-kick
Repositoryhnl-agent-skills
Skill namespecification-website
Stars
56
Forks
4
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by c-kick on GitHub. Read the source before you install it.

Installation

Install the Specification Website AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/c-kick/hnl-agent-skills/tree/master/spec-website
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/c-kick/hnl-agent-skills.git /tmp/hnl-agent-skills
mkdir -p .claude/skills
cp -r /tmp/hnl-agent-skills/spec-website .claude/skills/specification-website
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Specification Website in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Specification Website on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Specification Website is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

specification.website

The Website Specification is a single source of truth for what a good website does. Ten categories, 130+ pages, every item tagged with a status. It ships in three machine-readable forms: per-page Markdown, llms.txt / llms-full.txt, and an MCP server.

When to use this skill

  • The user asks "what should my site have", "is X required", "audit this URL", "what does the spec say about Y", or anything similar.
  • You're reviewing a site and want to cite primary standards rather than vendor blog posts.
  • You need a machine-readable contract for a platform-agnostic audit.

Quickest path — MCP

If you can speak MCP, use it. The server is stateless Streamable HTTP, no auth, wide-open CORS.

  • Endpoint: https://mcp.specification.website/mcp
  • Server card: https://specification.website/.well-known/mcp/server-card.json
  • Protocol revision: 2025-03-26

Tools:

ToolPurpose
search(query, limit?)Full-text search across every page.
list_topics({ category?, status?, limit? })Filtered index — slug, title, status, summary, URL.
get_topic({ slug })Full canonical Markdown for one page, including its cited sources.
get_checklist({ category?, status? })Tickable Markdown checklist.
get_categories()The ten categories with counts and summaries.

Prompt: audit_url(url, focus?) — generates an audit plan for a target URL against the spec, optionally narrowed to one category.

Without MCP — fetch Markdown directly

Every spec page has a canonical HTML URL and a Markdown variant.

  • HTML: https://specification.website/spec/<category>/<slug>/
  • Markdown (file extension): https://specification.website/spec/<category>/<slug>.md
  • Markdown (content negotiation): set Accept: text/markdown on the HTML URL — middleware redirects to the .md variant.

Site-wide indexes:

  • https://specification.website/llms.txt — every page as title — summary lines. Cheap to load.
  • https://specification.website/llms-full.txt — every page concatenated as Markdown. Use for one-shot context loading.
  • https://specification.website/rss.xml — feed of changes.
  • https://specification.website/sitemap-index.xml — every URL.
  • https://specification.website/.well-known/api-catalog — RFC 9727 link set of every machine-readable endpoint.

Categories

The category slug is part of the URL. Current slugs:

  • foundations — HTML, head, document basics.
  • seo — robots.txt, sitemaps, canonicals, structured data.
  • accessibility — WCAG-aligned rules.
  • security — headers, transport, policies.
  • well-known — standard paths under /.well-known/.
  • agent-readiness — making the site legible to AI agents and crawlers (llms.txt, MCP, content signals, link headers, markdown source endpoints).
  • performance — Core Web Vitals, caching, images, fonts.
  • privacy — consent, signals, respecting visitor choice.
  • resilience — error pages, offline, redirects.
  • i18n — language, locale, direction, translated content.

Call get_categories() for the live list with counts.

Statuses — the contract

The status field on every page is the bar.

  • required — the platform contract breaks without it. Lead with these when recommending fixes. Examples: <title>, <meta charset>, HTTPS, image alt text, a real 404.
  • recommended — a modern site should do it. Examples: CSP, HSTS, structured data, Open Graph, llms.txt.
  • optional — depends on context.
  • avoid — outdated or harmful. If a site does one of these, flag it.

The bar for required is "the platform breaks", not "we strongly suggest". When summarising, never silently upgrade recommended to required.

Common workflows

"Audit this URL." Call the audit_url prompt for a plan, or fetch get_checklist({ status: "required" }) and walk the user through verifying each item. For deeper audits, also pull status: "recommended".

"What's required for agent readiness?" list_topics({ category: "agent-readiness", status: "required" }), then get_topic for each.

"Why does the spec say X?" Every page has 2–4 primary sources in its frontmatter. Quote those, not the spec page itself.

"Is there a category for Y?" get_categories() first; if nothing fits, search(query) across the corpus.

Sources and licence

Code MIT. Content CC BY 4.0. Site source: https://github.com/jdevalk/specification.website.

When citing, use the page's canonical URL and the updated frontmatter field as the as-of date. The spec changes — re-fetch rather than relying on a cached copy more than a few weeks old.

Frequently asked questions

What does the Specification Website AI skill do?

Query and apply The Website Specification — a platform-agnostic specification of what a good website does, with each item tagged required, recommended, optional, or avoid. Use when the user asks what their site should have, whether something is required, how to audit a URL, what's missing for agent readiness, or anything else where you'd otherwise be guessing at web best practice. Backs answers with primary sources (WHATWG, W3C, IETF RFCs, IANA, WCAG). Available as Markdown over HTTP and as an MCP server with search, list, fetch, checklist, and audit tools.

Why use Specification Website on TypingMind?

Because you install it once and use it with any model. Specification Website is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Specification Website in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/c-kick/hnl-agent-skills/tree/master/spec-website. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Specification Website?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Specification Website?

As many as you like. As long as a model supports skills, you can use Specification Website with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Specification Website AI skill free?

It is published on GitHub by c-kick. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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