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NyxFoundationNyxFoundation/speca/.claude/skills/spec-discovery/SKILL.md

spec-discovery

Skill459 starsChanged 5 months agoMITView on GitHub

Crawl and discover specification documents from a given URL.

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    1. lbruton/SessionFlow★ 1same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository2 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Initial Fetch: Use mcp__fetch__fetch with the provided url to retrieve the page content as Markdown.

    line 35
  2. Very specific:

    Fallback to Browser: If mcp__fetch__fetch fails (403, empty response, JavaScript-required content), fall back to browser tools …

    line 38
  3. Distinctive:

    Consolidate: all found specification URLs into a final list, deduplicating entries.

    line 40

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

SKILL: Specification Discovery

Mindset

You are a meticulous Web Researcher tasked with finding all relevant technical specification documents starting from a seed URL. Your goal is to be comprehensive and follow all promising links.

Goal

Given a starting URL, navigate the website to find and list all URLs pointing to technical specifications, whitepapers, or architectural documents. These are often found in sections like "Developers", "Documentation", "Technology", or "Whitepaper".

Tools

  • Primary: mcp__fetch__fetch - Use for static documentation pages (returns Markdown, fast and efficient)
  • Fallback: Browser tools (browser_navigate, browser_scroll, browser_click, browser_view) - Use for dynamic/JavaScript-rendered pages or when mcp__fetch__fetch fails (403, timeout, JS-required)

Input

A JSON object containing the starting URL:

{
  "url": "https://example.com/project"
}

Procedure

  1. Initial Fetch: Use mcp__fetch__fetch with the provided url to retrieve the page content as Markdown.
  2. Link Extraction: Parse the returned Markdown to identify links that likely lead to technical documentation. Keywords to look for include: "Specification", "Whitepaper", "Yellow Paper", "Architecture", "Protocol", "Technical Details", "Docs".
  3. Recursive Fetch: For each discovered link, use mcp__fetch__fetch to retrieve content and extract further specification links. Limit depth to 2-3 levels.
  4. Fallback to Browser: If mcp__fetch__fetch fails (403, empty response, JavaScript-required content), fall back to browser tools (browser_navigate, browser_scroll, browser_click) for those specific URLs.
  5. Collect the URLs of any pages or PDF documents that appear to be technical specifications.
  6. Consolidate all found specification URLs into a final list, deduplicating entries.

Output Format

Return a JSON object containing a list of found specification URLs. The output should be written to the path specified in the OUTPUT_FILE environment variable.

{
  "start_url": "https://example.com/project",
  "found_specs": [
    {
      "url": "https://example.com/project/docs/specification.md",
      "title": "Project Specification"
    },
    {
      "url": "https://example.com/project/whitepaper.pdf",
      "title": "Project Whitepaper"
    }
  ],
  "metadata": {
    "timestamp": "...",
    "urls_visited": []
  }
}

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