Inteligencia SEO a nivel de URL: qué keywords rankea, tráfico captado, historial de posiciones, contexto SERP y citación en AI Search, con veredicto keep/refresh/consolidate/kill.
en todo el repo
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Funciona con cualquier agente que lea SKILL.md
npx -y skills add seranking/seo-skills --skill seo-page --agent claude-codeSe instala solo en este repositorio.
Di cualquiera de estas frases y el agente debería cargar este skill.
Example output: examples/seo-page-notion-keyboard-shortcuts-20260514/PAGE.md
Show what a single URL ranks for, what traffic it captures, where its weak and strong points are, and what to do about it. The deliverable is an opinionated verdict — KEEP, REFRESH, CONSOLIDATE, or KILL — anchored in objective signals from SE Ranking's URL-level data.
WebFetch tool available (for the page-level HTML sense-check).us), (c) primary topical keyword (auto-inferred from <title> + <h1> if not supplied).Validate target & preflight. See skills/seo-firecrawl/references/preflight.md for the canonical 3-stage preflight (credit balance, Firecrawl availability, Google APIs). Skill-specific notes:
og:*, twitter:*, canonical, robots meta, JSON-LD types, and hreflang count from raw <head> — WebFetch returns markdown only and strips those fields. Without Firecrawl, the affected lines in PAGE.md emit (skipped — Firecrawl not installed). Pass --no-firecrawl to treat Firecrawl as unavailable even when installed (credit conservation).skills/seo-google/references/cross-skill-integration.md § "seo-page" for the full recipe.URL-level overview DATA_getUrlOverviewWorldwide
Ranking keywords DATA_getDomainKeywords (use the url param for exact match — not filter_url)
volume × CTR-by-position (use a standard CTR curve: 1=28%, 2=15%, 3=11%, 4=8%, 5=7%, 6=5%, 7=4%, 8=3%, 9=2%, 10=2%, 11+=1%).Page authority DATA_getPageAuthority + DATA_getPageAuthorityHistory
4b. GSC URL performance + URL Inspection (only if google-api.json is present, tier ≥ 1)
python3 scripts/gsc_query.py --property "{config.default_property}" --url "{target_url}" --days 28 --jsonpython3 scripts/gsc_inspect.py "{target_url}" --site-url "{config.default_property}" --jsonPAGE.md "## Snapshot": GSC last 28d: {clicks}/{impressions}/{ctr}% CTR / pos {position} and Google sees: {INDEXED|EXCLUDED} · canonical {userCanonical} → {googleCanonical} · last crawled {date}.INDEXED + impressions > 100 + position 4–10 → harden REFRESH (clear quick-win). EXCLUDED (any reason) → harden KILL or CONSOLIDATE. userCanonical ≠ googleCanonical → flag as critical issue regardless of verdict.skills/seo-google/references/cross-skill-integration.md § "seo-page" for the full recipe.SERP context DATA_getSerpResults and DATA_getAiOverview
HTML sense-check WebFetch (always) + mcp__firecrawl-mcp__firecrawl_scrape (when available)
<title>, meta description, all <h1..h6>, lang, word count, internal-link count, image count. WebFetch returns markdown so anything in <head> beyond <title> is lost — the next bullet recovers it.formats: ["rawHtml"]) — recovers what WebFetch can't see. Pin the format to rawHtml; the default html is post-processed and silently strips canonical, hreflang, and <script type="application/ld+json"> blocks on many sites. If those head fields come back zero on a site that obviously has them (any major SaaS homepage), you forgot the rawHtml flag — re-run.metadata: og:title, og:description, og:image, twitter:card, viewport, robots meta, canonical URL.rawHtml: every <script type="application/ld+json"> block. Parse each as JSON, list detected @types (Article, BreadcrumbList, Organization, Product, etc.). Note any block that fails to parse.<link rel="alternate" hreflang="…"> occurrences in rawHtml.(skipped — Firecrawl not installed). Don't infer from markdown.Domain context DATA_getDomainOverviewWorldwide (parent domain)
Cannibalization check DATA_getDomainPages
DATA_getDomainKeywords on the parent domain — that endpoint can return tens of thousands of rows on large sites and is unnecessarily heavy for this question. DATA_getDomainPages ranked by traffic surfaces the high-impact peers directly.Synthesise verdict
PAGE.md (output spec below).Create a folder seo-page-{target-slug}-{YYYYMMDD}/ with:
seo-page-{target-slug}-{YYYYMMDD}/
├── PAGE.md (synthesised verdict + plan — primary deliverable)
├── keywords.csv (full keyword list with positions — load-bearing CSV the auditor walks through row-by-row)
├── 04-serp-context.md (top 10 + AIO for top 3–5 keywords — load-bearing reference for SERP-driven REFRESH discussions)
└── evidence/
├── 01-url-overview.md (raw DATA_getUrlOverviewWorldwide)
├── 02-keywords.md (raw DATA_getDomainKeywords filtered)
├── 03-authority.md (PA + history)
├── 05-page-snapshot.md (HTML extracts)
└── 06-cannibalization.md (peer pages on the same domain competing for the top-3 keywords)
Top-level: PAGE.md + keywords.csv + 04-serp-context.md. The other step files preserve raw API/HTML extracts in evidence/ for reproducibility — auditors lean on the CSV and SERP context, not the per-call dumps.
PAGE.md follows this shape:
# Page Intelligence: {URL}
> Snapshot dated {YYYY-MM-DD} · Country: {country} · Primary keyword: {keyword}
## Snapshot
- Ranking keywords: {n}
- Estimated monthly organic traffic: {n}
- Page authority: {PA} ({↑/↓ trajectory over 90 days})
- Primary topic: {topic}
- AIO citations: {n} of {checked} primary-keyword AIOs cite this URL
- GSC last 28d: {clicks} clicks / {impressions} impressions / {ctr}% CTR / avg position {n} *(or `not configured` / `property not verified`)*
- Google sees: {INDEXED|EXCLUDED|...} · canonical {userCanonical} {→ googleCanonical if differ} · last crawled {YYYY-MM-DD}
## Page basics
- `<title>`: {value}
- meta description: {value | absent}
- `og:title`: {value | absent | skipped — Firecrawl required}
- `og:description`: {value | absent | skipped}
- `og:image`: {url | absent | skipped}
- `twitter:card`: {summary | summary_large_image | absent | skipped}
- `<link rel="canonical">`: {URL | self-referential | absent | skipped}
- meta robots: {index,follow | noindex,nofollow | absent | skipped}
- JSON-LD types detected: {Article, BreadcrumbList, Organization | none | skipped}
- hreflang variants: {n | skipped}
## What this page wins
- {keyword} — position {n}, ~{volume} monthly searches, ~{traffic} monthly clicks.
- ... (top 3–5)
## Almost-wins (page-2 refresh opportunities)
- {keyword} — position {n}, ~{volume} monthly searches. The top 3 SERP winners all do {pattern} that this page doesn't.
- ... (top 3 examples)
## What this page misses
- {keyword} — competitors {comp1}, {comp2} rank in top 5; this page is absent.
- ...
## Same-domain cannibalization
- {peer URL} — ranks position {n} for "{keyword}" (candidate ranks position {m}). Peer estimated traffic: {n}/mo.
- ... (only list rows where a peer URL ranks ≤ 20 for one of the candidate's top-3 keywords; if none, write "No same-domain cannibalization detected on top-3 keywords.")
## AI Search angle
- {n} of {checked} AIO queries on the URL's keywords cite this page.
- The AIOs that DON'T cite this page tend to cite {pattern} (e.g., comparison tables, step-by-step how-tos).
- Recommended GEO move: {one specific change}.
## Verdict: {KEEP | REFRESH | CONSOLIDATE | KILL}
Reasoning: {1–2 sentences anchored in objective signals from above}.
### If REFRESH — top 3 changes
1. {Specific change}
2. {Specific change}
3. {Specific change}
## Raw data
- keywords.csv — full enriched ranking-keyword list
- 04-serp-context.md — per-keyword SERP top-10 with AIO
- evidence/05-page-snapshot.md — HTML extracts
keywords.csv columns: keyword,volume,kd,position,intent,traffic_estimate,url
DATA_getCreditBalance before running. ~10–15 credits is typical for one URL.INDEXED + impressions > 100 + average position 4–10 (clear quick-win territory).EXCLUDED for any reason.userCanonical ≠ googleCanonical, flag this as a critical issue in PAGE.md regardless of the verdict — it points at indexing instability that the verdict on its own can't resolve.PAGE.md to a number from the raw data files.keywords.csv is the auditable trail. If a stakeholder questions the verdict, walk them through the CSV row by row.DATA_getPageAuthorityHistory all-zeros caveat: if the endpoint returns inlink_rank: 0 (or equivalent) for every date in the history window, treat as "insufficient history" — don't claim a drop or recommend REFRESH based on it. Often happens for very high-authority pages where the metric is saturated, or for URLs that haven't accumulated enough longitudinal data. Cross-check with DATA_getPageAuthority (current value) — if current PA is meaningful but history is flat-zero, flag the gap explicitly in PAGE.md rather than synthesising a trajectory.Reproducido de seranking/seo-skills bajo licencia MIT. Leer esta página en markdown.
1 archivo en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.
Requiere el servidor MCP de SE Ranking conectado y la herramienta WebFetch de Claude; Firecrawl y Google Search Console son opcionales pero amplían los datos.
Este repo incluye 32 skills. Si instalas uno, normalmente ya tienes los demás. Ver el pack seo-skills entero y su comando de instalación
Encuentra los prompts y temas de búsqueda con IA donde una marca es invisible o pierde frente a competidores en SE Ranking, y convierte esos vacíos en una campaña social en Planable con seguimiento antes/después.
Construye una propuesta de onboarding de cliente basada en datos, combinando un audit SEO + búsqueda IA de SE Ranking con un análisis en Planable del rendimiento social actual del cliente.
Combina el seguimiento de rankings por ciudad de SE Ranking con contenido social local en Planable, incluyendo publicaciones de Google Business Profile.
Genera un único reporte de rendimiento que une rankings SEO, visibilidad en búsquedas IA (SE Ranking) y engagement social (Planable): resumen en el chat más un informe HTML interactivo autónomo.
Arquitecto de integración con la API de SE Ranking: cubre la Data API y la Project API, responde cualquier duda de endpoints, credit cost o auth, y genera recetas cURL/Python/TypeScript/MCP.
Scraping ad-hoc, mapeo de sitios y crawling completo vía Firecrawl MCP: devuelve HTML crudo, metadatos, DOM renderizado por JS y screenshots que WebFetch no puede obtener.
Encuentra los prompts y temas de búsqueda con IA donde una marca es invisible o pierde frente a competidores en SE Ranking, y convierte esos vacíos en una campaña social en Planable con seguimiento antes/después.
Construye una propuesta de onboarding de cliente basada en datos, combinando un audit SEO + búsqueda IA de SE Ranking con un análisis en Planable del rendimiento social actual del cliente.
Combina el seguimiento de rankings por ciudad de SE Ranking con contenido social local en Planable, incluyendo publicaciones de Google Business Profile.
