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feat(distribution): measurable Skills.sh growth plan and safe workflows - #69

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feat/skills-distribution-growth-p0
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replynodes-ai wants to merge 4 commits into
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feat/skills-distribution-growth-p0

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Summary

  • add validated OpenSpec change skills-distribution-growth
  • document canonical nested/umbrella install commands and external-index boundaries
  • add 30-query discovery baseline and daily external-vs-product metric template
  • add five read-only GitHub Actions examples for company, URL→Markdown, App Store, umbrella, and scheduled research
  • improve canonical README and priority skill repository attribution metadata

Closes #66
Refs #65, #67, #68, #58

Research evidence

Verification

  • openspec validate skills-distribution-growth --strict
  • bash scripts/validate-package.sh
  • bash tests/test-package.sh
  • bash tests/test-distribution.sh
  • bash tests/test-registry-links.sh
  • all five workflow YAML files parse successfully
  • live App Store keyless smoke: HTTP 200 JSON
  • Markdown/Brand live smoke: HTTP 429 anonymous_limit_reached (known exhausted anonymous quota; not claimed as capability failure)

Safety

No artificial installs, duplicate listings, leaderboard manipulation, secrets, or write-capable provider paths. User-facing installs do not set DISABLE_TELEMETRY; internal validation does.

…very

Rewrite the frontmatter description and keywords of the root umbrella and
the five public nested skills (company-research, competitor-research,
url-to-markdown, brand-kit, app-store-api) with long, task-intent phrasing
and natural search synonyms, following the fetcher.sh metadata style.

Descriptions use folded YAML scalars and add explicit metadata.keywords
lists; all keyless/zero-auth claims stay consistent with existing source.
skills.sh.json grouping descriptions gain the same keyword density. No
endpoint, pricing, body, or skill-set changes.
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replynodes-ai force-pushed the feat/skills-distribution-growth-p0 branch from 307bca4 to d5ef922 Compare October 9, 2026 04:19
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[P0] Make canonical installs and nested discovery measurable in clean agents

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