seo
Skill189 starsChanged 2 months agoMITView on GitHub
Audits and fixes technical SEO, researches search demand, creates content briefs, and measures SEO, AEO and GEO performance. Use when asked to "audit SEO", "fix indexing", "improve AI visibility", "do AEO or GEO", "check keyword volume", "write an SEO brief", or "why did organic traffic drop". For Mintlify Agent Score, AFDocs, or Is Agentic reports use agent-ready. For writing the article use ghostwriter; for visual redesign use ui-design.
- Reads credentials
156 other projects use a version of this.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codetheir own version, first seen Nov 8, 2026
- mazzeoia/MazyOStheir own version, first seen Nov 8, 2026
- ahmadvahidi/skill-atlastheir own version, first seen Nov 8, 2026
- GstMirabal/Token-Optimized-Agent-Pipelinetheir own version, first seen Nov 8, 2026
- alpit-patel/seo-aeo-geo-kittheir own version, first seen Nov 8, 2026
- Mahesh-Bishnoi/skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use seo-agentic, seo-maps and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
AgriciDanielSkillseo-agentic
Audit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools. Use when the user asks whether AI agents can use or browse the site, or about llms.txt or WebMCP. Exclude AI citability and brand signals (seo-geo) and commerce protocol depth (seo-ecommerce).
Also in 5 projects that use this
timruebenachSkillseo-maps
Maps intelligence for local SEO — geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification (Google/Bing/Apple/OSM), competitor radius mapping, and LocalBusiness schema generation from API data. Three-tier capability: free (Overpass + Geoapify), DataForSEO (full intelligence), DataForSEO + Google (maximum coverage). Use when user says "maps", "geo-grid", "rank tracking", "GBP audit", "review velocity", "competitor radius", "maps analysis", "local rank tracking", "Share of Local Voice", or "SoLV".
Also in 17 projects that use this
megastepSkillseo-images
Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, and CLS prevention. Use when user says "image optimization", "alt text", "image SEO", "image size", or "image audit".
Also in 24 projects that use this
timruebenachSkillseo-image-gen
AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says \"generate image\", \"OG image\", \"social preview\", \"hero image\", \"blog image\", \"product photo\", \"infographic\", \"seo image\", \"create visual\", \"image-gen\", \"favicon\", \"schema image\", \"pinterest pin\", \"generate visual\", \"banner\", or \"thumbnail\".
Also in 15 projects that use this
megastepSkillseo-sitemap
Analyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure. Use when user says "sitemap", "generate sitemap", "sitemap issues", or "XML sitemap".
Also in 26 projects that use this
renepfSkillorch-pipeline
Shared orchestration engine for the orch-* skill family. Defines the gated Research-Plan-TDD-Review-Commit pipeline, the size classifier, the agent map, and the two human gates that the orch-* operation skills delegate to. Not usually invoked directly.
Also in 4 projects that use this
- +3 more from timruebenach
- +1 more from megastep
Other versions156 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 156
- AgriciDaniel/claude-seo★ 20ksame name
- midudev/preguntas-entrevista-react★ 7.8ksame name
- legions-developer/evilcharts★ 3.2ksame name
- gridaco/grida★ 2.7ksame name
- midudev/la-velada-web-oficial★ 1.9ksame name
- midudev/tailwind-animations★ 1.5ksame name
- Bhanunamikaze/Agentic-SEO-Skill★ 993same name
- legions-developer/invoicely★ 923same name
- Nexus-JPF/note-companion★ 874same name
- iannuttall/seo★ 610same name
146 more not listed
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 repository28 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-readySkill
- agent-skills-creatorSkill
- agents-mdSkill
- app-verificationSkill
- autoshipSkill
- ax-auditSkill
- chat-historySkill
- ci-speedupSkill
- codebase-architectureSkill
- dx-auditSkill
- eli5Skill
- ghostwriterSkill
- multi-tenant-architectureSkill
- planningSkill
- pr-babysitterSkill
- pr-creatorSkill
- presentation-creatorSkill
- product-designSkill
- save-mdSkill
- scaffold-cliSkill
- scaffold-nextjsSkill
- test-auditSkill
- tidySkill
- typography-auditSkill
- ui-animationSkill
- ui-designSkill
- ui-verificationSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 145 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 29
Use No data with its reason for inaccessible, missing, unsupported or unmeasured metrics.
“Common” is measured: kept by at least 6 in 10 of the 145 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
SEO
- IS: one entry point for search visibility: evidence-led audits, implementation, demand research, writer briefs, and performance measurement across search engines and AI search (AEO for AI answers inside search, GEO for standalone assistants; see
references/answer-engines.md). - IS NOT: writing the article or standalone marketing copy (
ghostwriter), visual redesign (ui-design), tenant infrastructure (multi-tenant-architecture), or implementing AFDocs / Is Agentic / Is It Agent Ready scorecards (agent-ready). Fix SEO copy and markup when they are part of the requested implementation.
Route the task
| Request | Load | Deliverable |
| Audit a site, diagnose indexing, review a migration | references/audit.md and references/validation-evidence.md | Prioritized findings with URLs, observed evidence, impact, and correction |
| Fix or implement SEO | Audit references, then applicable implementation references below | Code changes, scoped checks, and served-page evidence for the changed behavior |
| Research demand, choose a target, brief a page | references/research-protocol.md; references/brief-template.md for a brief | Sourced demand table and decision, or a durable writer brief |
| Explain traffic movement, measure AI visibility, monitor SEO | references/monitoring.md | Property-scoped diagnosis or configured monitoring with explicit data gaps |
For a combined request, reuse one property and URL inventory across modes. An audit request produces findings; a request to fix them proceeds through implementation and verification within the user's authorized scope. A research-only request does not require crawling every URL or changing code.
Establish the evidence boundary
Identify the exact public host, URL-prefix or domain property, production environment, project/subpath, audience, and business outcome. On a shared domain, filter each project's path separately. In analytics, verify hostname, path, conversion event and attribution window before interpreting a number.
Discover connected tools and existing project bindings first. Prefer the established reporting source, then an available equivalent, then a signed-in browser. No vendor is required. Ownership verification, API consent and a successful scoped query are separate states. An export for a neighboring property is not a fallback.
Use No data with its reason for inaccessible, missing, unsupported or unmeasured metrics; distinguish these from a measured zero. Label historical exports by their actual dates. Do useful public checks while an authenticated metric is unavailable.
Working sequence
For substantial mixed work, track only the applicable steps:
- Confirm property, scope, baseline and intended outcome.
- Inspect live evidence and map affected route patterns or research questions.
- Prioritize blocking defects and high-value opportunities; separate observations from hypotheses.
- Implement authorized corrections or deliver the requested research/brief.
- Recheck the changed behavior, identify the tested environment, and report remaining gaps.
Prioritize crawl/index defects before cosmetic metadata changes. Page titles, headings and content structure follow the page's purpose and reader intent. Descriptive non-brand terms help category discovery; brand-led portfolio and product pages can be appropriate. Neither a fixed title character count nor question-shaped headings are ranking requirements. A title or description rewrite is a positioning change, not a technical fix: follow references/metadata-copy.md and keep copy out of the technical-fix commits.
For AI visibility, the owner builds crawl access, content and extractable structure; independent reviews, comparisons and coverage are earned, and they supply most of what answers say about a brand. Fix the owned layers first, then say where the remaining leverage sits instead of padding the site. Original evidence, useful comparisons and honest product limitations earn their place ahead of manufactured keyword permutations. Research likely reader questions; do not present invented query fan-outs as engine telemetry or create a page for every variation.
References
| File | Read when |
| references/audit.md | Crawling, diagnosing or prioritizing a site audit; canonicals, redirects, exclusions and programmatic pages; hreflang; CDN, response headers or preview environments affecting discovery |
| references/nextjs-implementation.md | Implementing App Router metadata, sitemaps, rendering, status codes, Markdown twins, or schema; verify APIs against the installed Next.js docs |
| references/answer-engines.md | SEO, AEO and GEO terms, AI visibility, which AI-search tactics have evidence, crawler policies, owned versus earned coverage, Markdown alternatives or llms.txt |
| references/metadata-copy.md | Writing or changing page titles, meta descriptions or social titles; deciding whether a metadata edit is mechanical or needs owner sign-off |
| references/validation-evidence.md | Verifying findings, a built page or a deployed correction |
| references/research-protocol.md | Keyword/prompt metrics, opportunity selection and question maps |
| references/brief-template.md | Producing a writer brief |
| references/monitoring.md | Search/AI performance, attribution, anomalies or recurring work; where AI visibility data comes from and what replaces a paid tracker |
| references/sources.md | A claim depends on current engine behavior, supported reports, or vendor research |
Delivery
Findings go in chat unless a file is requested. Writer briefs go to the requested project destination; retain prior dated briefs when producing a new revision. Keep scratch crawls and exports out of the repository. No em dashes in authored reports or briefs.
For a measurement request, report per property: a table per source with the window and method, a No data list with each reason, and what the numbers mean for the next decision. For a fix, report what changed, why, exact verification evidence, and what remains unmeasured. A successful local build, ready deployment, public URL probe, Google index record and measured conversion are different evidence. Name the strongest state actually verified.
Sending recaps to others, scheduling recurring work, spending on tools and production deployment follow the user's authorization and host rules. Reuse an existing matching monitor rather than creating another owner or schedule.
Gotchas
- A sitemap can parse while listing
/studiothat intentionally returns 404. Check its URLs, not just XML validity. - A canvas gated on mounted state can leave the homepage and category hubs with only navigation in initial HTML. Inspect those hubs as well as deep pages;
use clientalone does not imply missing server-rendered content. lastModified: new Date()or a build timestamp describes generation, not necessarily a significant page update. Use content dates or omit the field.- A canonical tag on each URL does not resolve two copies that both self-canonicalize. Compare content and choose the preferred URL.
- Two consistent JSON-LD scripts are not an error. Verify entity identity, eligible properties and visible supporting content instead of script count.
- DNS verification needs no invented meta token. Confirm scoped data access separately.
- A crawler user-agent probe does not authenticate a bot IP or establish index inclusion. Treat CDN logs and engine inspection as separate evidence.
- Prompt demand, measured citations, mentions, AI impressions and referral sessions are different quantities. Preserve engine, source, match type, scope and window.
- A prompt panel run through vendor APIs measures the API, not the consumer app; the OpenAI API recovered about a quarter of the URLs ChatGPT cited in a 2026 study. Label each series by collection method. For keys, use what the user names or the current environment; do not search other projects'
.envfiles for credentials. - One prompt run, or one score averaged across engines, is not a visibility measurement. Repeat each prompt, report per engine, and keep recall separate from citations.
- Schema,
llms.txtand fixed answer-block lengths are not measured citation levers. Keep them for their real consumers; do not sell them as AI visibility. - An audit PR that also rewrote titles on priority and campaign pages was sent back with those rewrites reverted, because the wording was the owner's positioning call. Ship mechanical metadata fixes and list the rest for the owner.
- A vendor Search Console connector may under-report. Reconcile property, filters and aggregation against native Search Console before diagnosing a drop.
Maintenance only: evals/evals.json holds behavioral scenarios and routing prompts. It is loaded when changing the skill, not during ordinary SEO work.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

