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by Agrici.Danielagricidaniel/claude-seo18k stars
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Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T), image optimization, sitemap analysis, and GEO for AI Overviews/ChatGPT/Perplexity. Industry detection for SaaS, e-commerce, local, publishers, agencies. Triggers on: SEO, audit, schema, Core Web Vitals, sitemap, E-E-A-T, AI Overviews, GEO, technical SEO, content quality, page speed. Use this hub only when the SEO domain is clear and the requested workflow is not; otherwise use the exact retained leaf or command.

Use this Skill: https://skilld.dev/gh/agricidaniel/claude-seo/seo

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referencesthinking-framework-validate-act.md

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Audit Synthesis Framework: VALIDATE and ACT

Phases 3 and 4 of the 10-principle framework in thinking-framework.md. Read that file first for the phase overview, PERCEIVE and ANALYZE.

VALIDATE

7. FEEL: emotional intelligence + intuition

Pure-logic recommendations break on contact with the actual reader / business / stakeholder. Pressure-test against:

  • User experience. Would the recommendation make the page worse for a human reader? (Common failure: stuffing FAQ schema for a site Google doesn't even show rich results for.)
  • Brand voice. Would the recommendation conflict with the site's existing tone? (Common failure: recommending "answer-first" rewrites on a luxury brand that uses suspense as a UX device.)
  • Operator capacity. Is this realistic for the team that has to ship it? (Common failure: recommending 30 new location pages to a 2-person agency.)
  • Hard-earned intuition. When the data is ambiguous, trust pattern recognition from past sites in the same vertical.

Discipline: if you can't articulate the human cost of a recommendation, you haven't fully validated it.

8. ACCEPT: intellectual humility

Each recommendation should carry the falsifiability that comes with honesty:

  • If the hypothesis behind the recommendation is wrong, what would prove it? (Set a measurable check.)
  • If the user has tried this and it didn't work before, surface that. Don't re-recommend the same thing.
  • If a constraint cannot be removed (legal, brand, technical), the recommendation has to pivot, not double down.
  • If a v1 recommendation is now stale because Google's guidance shifted, retract it explicitly.

Discipline: every recommendation gets a "how would we know this failed?" line. No invisible bets.


ACT

9. CREATE: generative output

Stop strategizing. Produce the artifact:

  • A markdown report with prioritized actions, dependencies, and measurable outcomes.
  • Generated schema JSON-LD ready to paste into the site.
  • A content brief with target keywords, outline, and internal links.
  • A PDF via "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run google_report.py when the user asks for one.
  • The smallest implementation of the highest-leverage recommendation, not the full plan.

Discipline: ship the artifact. Analysis paralysis is the enemy.

10. GROW: iterative loop

The audit is a snapshot, not a verdict. Build the feedback loop:

  • Capture a baseline via /seo drift baseline <url> so subsequent audits can prove what changed.
  • Define one or two leading indicators the user should monitor (CrUX trend, GSC impressions for a target cluster, brand-mention growth on Reddit / YouTube).
  • Schedule a re-audit cadence appropriate to the site's velocity (weekly for a high-churn ecommerce; quarterly for a B2B SaaS).
  • Surface what claude-seo itself could not measure (offline conversion, brand lift, customer interviews) so the human closes those loops.

Discipline: the last paragraph of every audit names what the next audit should look for.


Source: SKILL.md on GitHub

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    The skill is a comprehensive SEO tool that orchestrates multiple sub-agents and scripts. It performs network operations to fetch SEO data from various APIs and crawls user-provided websites. While it follows complex analysis frameworks, it relies on a bundled script launcher and performs analysis on untrusted external web content, which carries a risk of indirect prompt injection.

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Signed by skilld at ff87fce. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 days ago.

Activeupdated 3 days ago
user-invocable
true
argument-hint
[command] [url]
metadata
{
  "author": "AgriciDaniel",
  "version": "2.4.1",
  "category": "seo"
}

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