SkillAgentSearch skills...

seo-audit

Run a comprehensive SEO audit across technical health, on-page, content quality, E-E-A-T, link profile, and local SEO — producing dated numbered outputs (crawl inventory through prioritised actions) plus a single-page PLAN.md with an impact-by-effort action plan and a four-gate quality scorecard.

Install / Use

npx skills add indranilbanerjee/digital-marketing-pro --skill seo-audit

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Category

Marketing

Supported Platforms

Universal

Our assessment of seo-audit

seo-audit scores 87/100 on our quality scale, 315th of 610 Marketing skills we index.

Its SKILL.md is 9.8 KB long, well organised into 11 sections with 1 code example: a thorough specification that gives an agent plenty to work with.

It has 832 GitHub stars, a meaningful sign that others use it.

Substance
29/30
Structure
17/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 26 days ago, so seo-audit is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

seo-audit compared with similar skills

All 4 of these similar skills score higher than seo-audit; compare them before choosing.

SkillScoreStarsUpdatedFormat
seo-audit (this skill)by indranilbanerjee8783226d agoSKILL.md
Agent-Reachby Panniantong10090.1k18d agoCLAUDE.md
algorithmic-artby anthropics100177.9k11d agoSKILL.md
pptxby anthropics100177.9k11d agoSKILL.md
designby nextlevelbuilder100130.2k12d agoSKILL.md

Frequently asked questions

How do I install seo-audit?
Run npx skills add indranilbanerjee/digital-marketing-pro --skill seo-audit. The install tabs above show the steps for each supported agent.
Which AI agents does seo-audit work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is seo-audit safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is seo-audit still maintained?
The repository was last updated 26 days ago, so seo-audit is actively maintained.

name: seo-audit description: "Run a comprehensive SEO audit across technical health, on-page, content quality, E-E-A-T, link profile, and local SEO — producing dated numbered outputs (crawl inventory through prioritised actions) plus a single-page PLAN.md with an impact-by-effort action plan and a four-gate quality scorecard. Triggers on "/digital-marketing-pro:seo-audit", "audit my site's SEO", "why did our rankings drop", "check our technical SEO health", "how strong is our E-E-A-T". Reads the brand profile; PLAN.md feeds /digital-marketing-pro:seo-implement, /digital-marketing-pro:seo-plan, and /digital-marketing-pro:seo-drift, with link prospecting handed to /digital-marketing-pro:backlink-gap." argument-hint: "[URL]"

/digital-marketing-pro:seo-audit

Purpose

Perform a comprehensive SEO audit that evaluates a website across all major ranking dimensions. Produces a prioritized action plan with estimated impact and effort for each recommendation.

Algorithm-update context (read before triaging volatility)

Status as of 2026-10-04 (time-boxed — re-check after ~2026-12): per the Google Search Status Dashboard, the most recent core update began 21 May 2026 (completed after ~12 days). Since then Google has run only spam updates: the August 2026 spam update (18–21 Aug) and the September 2026 spam update (started 24 Sep; not yet marked complete on 2026-10-04). There was no September 2026 core update — several SEO blogs reported one; the dashboard lists none. Attribute only to updates the dashboard lists. Separately, Google's site reputation abuse policy has split at the EEA border since 30 Aug 2026: outside the EEA a manual action demotes the affected section; inside the EEA the section is separated and ranks on its own instead (Search Central) — word audit findings on third-party/"parasite" sections per region.

When an audit runs inside a listed update's rollout window (or the 4 weeks after) and the brand shows ranking volatility:

  • Do not make reactive changes during a rollout. Wait for the dashboard to mark the update complete, plus 7–14 days of settling, before drawing conclusions.
  • Diagnose direction before scope. A site-wide drop vs a single-section drop vs a single-template drop have very different root causes. Compare pre-rollout (21 days before the start date) vs in-rollout vs post-rollout impressions and clicks, segmented by page-group.
  • Match the response to the update type. Core updates re-weight existing quality signals — the answer is deeper E-E-A-T, unique value, and pruning thin/duplicated/AI-spam pages, not chasing rumoured signals. Spam updates target policy violations — check the affected pages against Google's spam policies (scaled content abuse, site reputation abuse, expired-domain abuse) before touching anything else.
  • Flag in the executive summary whether ranking deltas pre-date a listed update (likely site-specific issues) or coincide with one — this decides between quick wins and a multi-quarter quality program.

Input Required

The user must provide (or will be prompted for):

  • Website URL: The domain or specific pages to audit
  • Target keywords: Primary keywords the site should rank for (optional — can be researched)
  • Competitors: 2-3 competitor URLs for benchmarking (optional)
  • Audit scope: Full site or specific area (technical, content, local, links)
  • Known issues: Any existing problems the user is aware of

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Technical audit: Crawlability, indexation, Core Web Vitals, mobile usability, structured data, HTTPS, XML sitemap, robots.txt, canonical tags, redirect chains
  3. On-page audit: Title tags, meta descriptions, heading hierarchy, keyword usage, image alt text, internal linking structure, URL structure
  4. Content audit: Thin content, duplicate content, content gaps, freshness, E-E-A-T signals (author pages, citations, credentials, first-hand experience)
  5. Local SEO (if applicable): Google Business Profile, NAP consistency, local schema, reviews, local link profile
  6. Link profile: Domain authority, backlink quality, toxic links, anchor text distribution, link velocity, competitor link gap. Score the own-domain profile with the analyzer (feeds 05-link-profile.md):
    python "${CLAUDE_PLUGIN_ROOT}/scripts/link-profile-analyzer.py" \
        --file "${CLAUDE_PLUGIN_DATA}/{brand}/seo/seo-audit/{date}/links-export.json" \
        --brand-domain {brand-domain}
    
    (--file is a JSON array of link objects [{"url","anchor_text","domain","da","follow"}], or pass --links '<json>' inline; --brand-domain excludes internal links.) For competitor link-gap prospecting, hand off to /digital-marketing-pro:backlink-gap.
  7. Score each dimension on a 1-10 scale
  8. Prioritize findings by impact (high/medium/low) and effort (quick win/medium/major project)
  9. Generate the audit report with actionable recommendations

For the per-dimension checklists (incl. keyword research), the findings and action-plan table layouts, the after-audit follow-up menu, and the parallel-dispatch rules (independent dimensions concurrently; the action plan stays sequential), read dimension-checklists.md beside this file.

Output

A structured SEO audit report containing:

  • Executive summary with overall health score
  • Technical SEO scorecard with specific issues and fixes
  • On-page optimization findings per page/template
  • Content quality assessment with gap analysis
  • E-E-A-T evaluation and improvement recommendations
  • Local SEO assessment (if applicable)
  • Link profile analysis with opportunities
  • Prioritized action plan sorted by impact-to-effort ratio

Numbered output convention

All audit outputs go to ${CLAUDE_PLUGIN_DATA}/{brand}/seo/seo-audit/{YYYY-MM-DD}/:

00-input.md                    target URL, audit scope, brand context, Core Update window flag
01-crawl-inventory.md          discovered URLs, status codes, redirect chains
02-technical-scorecard.md      Core Web Vitals, crawlability, schema validity (1-10 per dimension)
03-onpage-findings.md          per-template issues with affected URL list
04-content-quality.md          E-E-A-T, thin/duplicate, topical coverage
05-link-profile.md             own backlink health (hand off to backlink-gap for prospect work)
06-eeat-evaluation.md          author signals, expertise indicators, trust elements
07-local-seo.md                only if business profile.target_markets has local intent
08-quality-scorecard.md        the gates below — must pass for status: ready
09-prioritised-actions.md      impact × effort matrix, top 20 actions
PLAN.md                        single-page deliverable

Downstream skills (seo-implement, seo-plan, content-engine) consume PLAN.md and the relevant numbered file rather than re-querying.

Quality scorecard

| Gate | What it checks | |---|---| | crawl_coverage | ≥ 90% of sitemap URLs successfully crawled (else input data is incomplete) | | dimension_completeness | Scores filled for all 6 mandatory dimensions (technical, on-page, content, E-E-A-T, link, local-if-applicable) | | finding_actionability | Every "high impact" finding has a named owner + effort estimate (else it's not actionable) | | core_update_flag_set | If running inside a Core Update window, 00-input.md flags it AND PLAN.md carries the "wait 7-14 days before reactive changes" callout |

status: ready requires all four gates pass.

Chain handoffs

  • Upstream: brand profile + (optional) prior tech-seo-audit, aeo-audit outputs
  • Downstream:
    • /digital-marketing-pro:seo-implement — applies the top-N findings to CMS / dev backlog
    • /digital-marketing-pro:seo-plan — consumes via dispatcher pillar scoring
    • /digital-marketing-pro:backlink-gap — for the link-prospect side that 05-link-profile.md only covers from the own-domain angle
    • /digital-marketing-pro:seo-drift — next quarter, compare two audit snapshots

Tips & caveats

  • Run during a Core Update? Mark it loudly in 00-input.md and don't recommend reactive changes. The audit findings stay valid; the timing of action does not.
  • Don't audit at the URL level for sites > 10k pages. Sample template-typically (cluster by template, audit one representative URL per template, generalise).
  • E-E-A-T scoring is judgement, not measurement. Two senior SEOs will disagree by ~1 point per dimension on the same site. Calibrate against the brand's industry: a 7/10 author signal is excellent for SaaS but minimum-viable for a YMYL health publisher.
  • Local SEO dimension only applies if the brand profile has business_model: local or target_markets includes specific geographies with physical service. Otherwise skip.
  • The link-profile dimension here is own-domain health (broken links, redirect chains, anchor-text distribution on inbound links). For competitor link-gap analysis, hand off to /digital-marketing-pro:backlink-gap — don't try to do both in this audit.

Agents Used

  • seo-specialist — All audit dimensions, scoring, prioritization, and recommendations

Related Skills

View on GitHub
GitHub Stars832
CategoryMarketing
Updated26d ago
Forks136

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions