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ImYourBoyRoyImYourBoyRoy/agent-continuity-stack/skills/web-discovery-artifacts/SKILL.md

web-discovery-artifacts

Skill1 starsChanged 4 months agoMITView on GitHub

Create or validate robots, sitemaps, canonicals, social metadata, JSON-LD, security.txt, llms.txt, indexes, and feeds. Use for public-web discovery and indexing; select only justified artifacts.

The file

We split this skill into the rules it gives an agent

8 rules. About 0 are common, 5 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

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

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

    When Portable Web Toolkit manages the project, use its generators and discovery-doctor as the specialist authority.

    line 10
  2. Distinctive:

    Prefer a supported framework integration over a custom generator when it satisfies the requirements.

    line 22
  3. Very specific:

    Do not present llms.txt or other emerging conventions as universally adopted standards.

    line 25
  4. Distinctive:

    Avoid hand-maintained URL duplication.

    line 43
  5. Distinctive:

    Keep build-time and runtime generation consistent.

    line 46
  6. Distinctive:

    Keep structured data factual, page-specific, and aligned with visible content.

    line 49
  7. Very specific:

    Use references/validation.md for protocol-specific checks.

    line 51
  8. Distinctive:

    When deployment is authorized, verify live responses rather than only build artifacts.

    line 75

≈ “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

Web Discovery Artifacts

Generate consistent discovery output from verified route and metadata sources.

When Portable Web Toolkit manages the project, use its generators and discovery-doctor as the specialist authority. Do not create a second route inventory, discovery generator, or deployment gate.

Determine intent

  1. Establish whether the site is public, private, staged, or intentionally non-indexed.
  2. Identify authoritative route, origin, locale, content, ownership, image, and update-date sources.
  3. Inventory framework integrations and existing generated artifacts.
  4. Choose only outputs with a clear consumer and maintenance path.
  5. Prefer a supported framework integration over a custom generator when it satisfies the requirements.

Do not present llms.txt or other emerging conventions as universally adopted standards.

Candidate outputs

  • robots.txt
  • sitemap.xml or sitemap index
  • canonical and alternate-language links
  • Open Graph and platform-specific social metadata
  • JSON-LD matching visible page content
  • /.well-known/security.txt
  • llms.txt or a project-defined AI-readable index
  • content or search feeds
  • humans.txt when the project has a reason to publish it

Build one source of truth

  • Derive related outputs from shared route and metadata data.
  • Avoid hand-maintained URL duplication.
  • Include only canonical, public, resolvable routes.
  • Make environment origin and indexing policy explicit.
  • Keep build-time and runtime generation consistent.
  • Fail generation on material invalidity only when the repository intends that as a build gate.
  • Keep structured data factual, page-specific, and aligned with visible content.

Use references/validation.md for protocol-specific checks.

Environment safety

Production should publish the intended canonical origin and crawler policy. Preview, staging, and development should prevent accidental indexing where appropriate and must not leak private routes, internal APIs, secret-bearing URLs, or production-only data.

Validate

Check:

  • syntax and schema
  • canonical host and protocol consistency
  • route coverage and exclusions
  • duplicate, redirected, or broken URLs
  • content type and cache behavior
  • environment-specific robots and canonical behavior
  • image dimensions and resolvability
  • JSON-LD correspondence with page content
  • security-contact ownership and expiry
  • generated-output freshness

When deployment is authorized, verify live responses rather than only build artifacts. Report selected outputs, source of truth, environment behavior, checks, and unresolved gaps.

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