SEO Claude Skills Prompt Pack (20 ready-to-run “skills” you can paste and use)

1) Pick the relevant skill below.

2) Replace placeholders like {{URL}}, {{PAGE_HTML}}, {{GSC_EXPORT}}, {{CRAWL_CSV}}.

3) Paste into Claude.

4) If you can’t provide an input (e.g., HTML), paste what you have (page text, sitemap URLs, GSC queries) and ask Claude to proceed with assumptions.

Data formats that work well:

House rule for all skills: If a claim depends on data you didn’t provide, Claude must label it as “Assumption” and not present it as fact.

Purpose: Rewrite SEO titles and meta descriptions to improve relevance + CTR while respecting length constraints and intent.

Inputs:

Paste-ready prompt:

"You are an SEO snippet optimizer.

Goal: Improve organic CTR without clickbait.

Context:

URL: {{PAGE_URL}}

Primary keyword: {{PRIMARY_KEYWORD}}

Secondary keywords: {{SECONDARY_KEYWORDS}}

Brand: {{BRAND_NAME}}

Current title: {{CURRENT_TITLE}}

Current meta: {{CURRENT_META}}

Page snippet / outline:

{{PAGE_SNIPPET_OR_OUTLINE}}

Tasks:

1) Identify the dominant search intent (one of: informational/commercial/navigational/transactional/local).

2) Produce 10 SEO titles (50–60 characters preferred, max 600px; avoid repetition; include primary keyword early when natural).

3) Produce 10 meta descriptions (140–160 characters preferred; include primary keyword once; include a clear value prop + subtle CTA).

4) Provide 3 ‘safe’ variations and 3 ‘bold but compliant’ variations.

5) For each title/meta pair, state the angle (benefit, speed, checklist, comparison, pricing, template, etc.).

6) Provide a final recommendation: best 1 title + 1 meta, with rationale.

Output as a table: Variant | Title | Char count | Meta | Char count | Angle | Why it should improve CTR.

Constraints:

Purpose: Find missing subtopics/entities/sections compared to competing pages.

Inputs:

Paste-ready prompt:

"You are a content gap analyst.

Keyword: {{TARGET_KEYWORD}}

Your page:

{{YOUR_PAGE_TEXT_OR_HTML}}

Competitors:

[1]

{{COMPETITOR_1_TEXT_OR_HTML}}

[2]

{{COMPETITOR_2_TEXT_OR_HTML}}

[3]

{{COMPETITOR_3_TEXT_OR_HTML}}

Tasks:

1) Normalize: extract headings, key claims, examples, tools, FAQs, definitions.

2) Build a unified outline of what a ‘best answer’ should include for this keyword.

3) Identify gaps in my page: Missing section / Missing depth / Missing examples / Missing terms & entities / Missing FAQs.

4) Prioritize gaps by impact (High/Med/Low) based on: intent coverage, topical completeness, and likelihood to improve rankings.

5) Provide a rewrite plan: exact H2/H3 suggestions + bullet points for each.

Output:

A) Gap table: Gap | Why it matters | Competitors covering it | Suggested section title | Notes.

B) Proposed improved outline for my page.

C) 10 FAQ questions + short answers (2–3 sentences each) aligned with intent.

Rules:

Purpose: Suggest high-signal internal links: from relevant source pages to a target page, with anchors.

Inputs:

Paste-ready prompt:

"You are an internal linking strategist.

Target page:

URL: {{TARGET_PAGE_URL}}

Topic: {{TARGET_PAGE_TOPIC}}

Site pages (URL + title + optional description/primary keyword):

{{SITE_URL_LIST}}

Tasks:

1) Identify 15–30 best source pages to link FROM to the target based on topical overlap + likely authority (use provided traffic/top pages if available).

2) For each, propose:

3) Identify 5 opportunities to add links FROM the target page to important related pages (hub/spoke).

4) Flag risks: cannibalization, too many links, irrelevant anchors.

Output table:

Source URL | Source page topic | Suggested placement | Anchor options | Priority (P1/P2/P3) | Notes.

Constraints:

Purpose: Generate valid JSON-LD schema for a given page type.

Inputs:

Paste-ready prompt:

"You are a technical SEO implementing Schema.org in JSON-LD.

Page type: {{PAGE_TYPE}}

URL: {{PAGE_URL}}

Title: {{PAGE_TITLE}}

Description: {{DESCRIPTION}}

Additional details:

{{AUTHOR}}

{{PUBLISH_DATE}}

{{MODIFIED_DATE}}

{{IMAGE_URL}}

{{PRICE}}

{{RATING}}

{{FAQ_QA}}

{{BREADCRUMBS}}

Tasks:

1) Output ONE JSON-LD block appropriate for the page type (include @context, @type, and required/recommended properties).

2) Include Organization/Website references where relevant (publisher, logo, sameAs) using placeholders if missing.

3) Ensure it’s syntactically valid JSON.

4) Provide a short ‘Implementation notes’ section: where to place it, what to customize, and validation steps.

Output:

Rules:

Purpose: Find pages that target the same query/topic and may split rankings.

Inputs (choose one):

A) {{GSC_QUERY_PAGE_EXPORT}} including Query + Page

B) {{KEYWORD_TO_URL_MAP}} (keyword, intended URL)

C) A list of pages + primary keyword

Paste-ready prompt:

"You are an SEO cannibalization analyst.

Data:

{{GSC_QUERY_PAGE_EXPORT}}

Tasks:

1) For each query, list the top pages receiving impressions/clicks.

2) Flag cannibalization when:

3) For each flagged cluster, recommend an action:

4) Provide a decision rubric (when to merge vs differentiate).

Output:

A) Cannibalization table: Query | Pages involved | Click share | Avg position | Severity (High/Med/Low) | Recommended action | Notes.

B) Fix plan for top 5 issues with step-by-step actions.

Rules:

Purpose: Use GSC data to identify high-impression pages with low CTR vs expected.

Inputs:

Paste-ready prompt:

"You are a GSC CTR opportunity miner.

Here is my GSC page report:

{{GSC_PAGE_EXPORT}}

Tasks:

1) Clean and segment:

2) Compute opportunity score per page:

Opportunity = Impressions * (ExpectedCTR(position) - ActualCTR).

Use a simple expected CTR curve you define and show.

3) Output top 20 CTR opportunities with:

4) For the top 5 pages, generate 3 improved title/meta options each.

Output:

A) Expected CTR curve you used.

B) Opportunity table.

C) Copy-ready snippets for top 5.

Rules:

Purpose: Identify quick wins: rising queries, near-page-1 terms, declining pages, and new content opportunities.

Inputs:

Paste-ready prompt:

"You are an SEO growth auditor using Google Search Console exports.

Period A (recent):

{{GSC_QUERY_EXPORT_LAST_28_DAYS}}

Period B (previous):

{{GSC_QUERY_EXPORT_PREVIOUS_28_DAYS}}

Tasks:

1) Find ‘striking distance’ queries (avg position 8–20) with high impressions.

2) Find biggest winners/losers by clicks and impressions (absolute and %).

3) Identify queries where impressions are high but CTR is low (snippet opportunities).

4) Recommend actions per bucket:

5) Produce a 2-week action plan with 10 tasks, each with expected impact rationale.

Output:

A) Summary insights (bullets)

B) Tables for each bucket

C) 2-week plan: Task | Owner | Effort (S/M/L) | Why | KPI to watch.

Rules:

Purpose: Triage indexing/visibility symptoms using URL lists and (if available) GSC coverage exports.

Inputs:

Paste-ready prompt:

"You are an indexing & visibility triage assistant.

Problem URLs:

{{URL_SAMPLE_LIST}}

GSC coverage / not indexed export (if available):

{{GSC_PAGES_NOT_INDEXED_EXPORT}}

Sitemap URLs (optional):

{{SITEMAP_URLS_LIST}}

Tasks:

1) Categorize issues into likely buckets:

2) For each URL, produce a diagnostic checklist of what to verify (robots, meta robots, canonical, HTTP status, content uniqueness, internal links).

3) Provide a prioritized fix list and which teams need to act (dev/content).

Output:

A) URL triage table: URL | Suspected cause | Confidence | Checks to run | Recommended fix.

B) Priority backlog: P0/P1/P2.

Rules:

Purpose: Produce a structured audit even when you only have partial data.

Inputs (any you have):

Paste-ready prompt:

"You are running a practical SEO site health audit.

Inputs I can provide:

Crawl snippet:

{{CRAWL_CSV_SNIPPET}}

Sitemap:

{{SITEMAP_XML}}

robots.txt:

{{ROBOTS_TXT}}

GSC summary:

{{GSC_SUMMARY}}

Tasks:

1) Audit categories:

2) For each category, list:

3) Provide a prioritized action plan (P0–P2) with effort/impact.

Output:

A) Executive summary (10 bullets)

B) Findings table: Finding | Evidence | Impact | Fix | Owner | Priority.

C) 30-day roadmap.

Rules:

Purpose: Convert a long SEO issue list into a sequenced backlog.

Inputs:

Paste-ready prompt:

"You are an SEO program manager.

Issues list:

{{ISSUES_LIST}}

Business goals:

{{BUSINESS_GOALS}}

Constraints:

{{RESOURCE_CONSTRAINTS}}

Tasks:

1) Normalize issues into a consistent format (Issue, Description, Affected scope, Risk).

2) Score each issue with a simple rubric (0–5 each):

3) Produce:

4) Write Jira-ready tickets for the top 10 items (title, description, acceptance criteria).

Output:

A) Scoring rubric

B) Ranked backlog table

C) Top 10 Jira ticket drafts

Rules:

Purpose: Analyze crawler CSV exports to find status code, redirect chains, canonicals, noindex, thin pages, duplicates.

Inputs:

Paste-ready prompt:

"You are analyzing a site crawl export for technical SEO issues.

Crawl CSV (include headers):

{{CRAWL_CSV}}

Tasks:

1) Identify critical issues:

2) Quantify: counts + example URLs.

3) Provide prioritized fixes and suggested QA checks.

Output:

A) Findings by severity (Critical/High/Medium/Low)

B) Top examples table per issue

C) Fix checklist for dev + content

Rules:

Purpose: Step-by-step diagnostic for a specific URL.

Inputs:

Paste-ready prompt:

"You are debugging why a URL may not be indexed.

URL: {{URL}}

Known signals:

HTTP status: {{HTTP_STATUS}}

Canonical tag: {{CANONICAL_TAG}}

Meta robots: {{META_ROBOTS}}

X-Robots-Tag: {{X_ROBOTS_TAG}}

robots.txt excerpt:

{{ROBOTS_TXT_RELEVANT_SECTION}}

HTML head snippet:

{{PAGE_HTML_SNIPPET}}

Internal links pointing to it: {{INTERNAL_LINKS_TO_URL}}

Tasks:

1) Build a decision tree of likely causes: blocked, noindex, canonicalized, duplicate/soft-404, crawl budget/discovery, rendering.

2) For each likely cause, list:

3) Provide a ‘minimal fix first’ path.

Output:

A) Most likely cause (with confidence)

B) Decision tree (bullets)

C) Fix steps + verification steps

Rules:

Purpose: Identify accidental blocks and indexability risks.

Inputs:

Paste-ready prompt:

"You are reviewing robots.txt for SEO safety.

robots.txt:

{{ROBOTS_TXT}}

Important paths:

{{IMPORTANT_PATHS_LIST}}

Tasks:

1) Explain what each User-agent group does.

2) Identify risky directives:

3) Provide a safer revised robots.txt proposal (only if changes are necessary), with comments.

4) Provide test cases: URL -> allowed/disallowed.

Output:

A) Findings

B) Proposed robots.txt (if needed)

C) Test matrix

Rules:

Purpose: Check sitemap URL quality and alignment with indexable pages.

Inputs:

Paste-ready prompt:

"You are validating an XML sitemap for SEO.

Sitemap content / URL list:

{{SITEMAP_XML_OR_URL_LIST}}

Indexable URLs from crawl (optional):

{{CRAWL_URL_LIST}}

Tasks:

1) Extract URLs and check for:

2) If crawl list provided, compute:

3) Provide a cleanup plan and a sitemap architecture suggestion (split by type, size limits).

Output:

A) Issues table: Issue | Example URLs | Fix

B) Coverage summary (if possible)

C) Recommended sitemap structure

Rules:

Purpose: Group keywords into clusters + pick a primary page per cluster.

Inputs:

Paste-ready prompt:

"You are building SEO keyword clusters for a content strategy.

Business context:

{{BUSINESS_CONTEXT}}

Keyword list:

{{KEYWORD_LIST}}

Tasks:

1) Normalize keywords (singular/plural, close variants).

2) Cluster by shared intent and SERP similarity (approximate using language heuristics since we don’t have live SERPs).

3) For each cluster:

4) Provide a site architecture suggestion: hub page + spokes.

Output:

A) Cluster table

B) Hub/spoke map in bullets

C) Top 10 priority clusters with rationale (impact, feasibility)

Rules:

Purpose: Triage backlink lists for quality signals and obvious risks.

Inputs:

Paste-ready prompt:

"You are reviewing a backlink export for quality and risk.

Backlink data:

{{BACKLINK_EXPORT}}

Brand: {{YOUR_BRAND}}

Top target pages: {{TOP_TARGET_PAGES}}

Tasks:

1) Segment links:

2) Flag potential risks (non-accusatory):

3) Identify opportunities:

4) Provide actions:

Output:

A) Summary stats (based on provided data)

B) Risk table: Pattern | Evidence | Risk level | What to do

C) Opportunity table: Target page | Why it matters | Action

Rules:

Purpose: Improve discoverability of GitHub repositories (search + GitHub internal search).

Inputs:

Paste-ready prompt:

"You are optimizing a GitHub repository for discoverability.

Repo: {{REPO_NAME}}

Topic: {{REPO_TOPIC}}

Target keywords: {{TARGET_KEYWORDS}}

Current README:

{{CURRENT_README}}

Tasks:

1) Rewrite the top section of the README:

2) Suggest:

3) Provide a ‘SEO-style’ keyword integration plan without stuffing.

Output:

A) New README outline

B) Proposed repo description + topics

C) Suggested filenames/sections

Rules:

Purpose: Turn a keyword + intent into a full brief: outline, angle, entities, FAQs, internal links, acceptance criteria.

Inputs:

Paste-ready prompt:

"You are generating a writer-ready SEO content brief.

Primary keyword: {{PRIMARY_KEYWORD}}

Audience: {{AUDIENCE}}

Brand/product context: {{PRODUCT_OR_BRAND_CONTEXT}}

Existing URL (if refresh): {{EXISTING_URL}}

Competitor notes (optional):

{{COMPETITOR_NOTES}}

Tasks:

1) Intent + promise: what the reader wants and what we’ll deliver.

2) Recommended content type and tone.

3) Detailed outline with H2/H3 and bullet points.

4) Entities & related terms to cover (non-spammy).

5) Proof points needed (where data/examples are required).

6) Internal link suggestions (placeholders if URLs not given).

7) FAQ section (8–12 questions) + concise answers.

8) On-page checklist: title, meta, slug, schema recommendation.

9) Acceptance criteria for the writer/editor.

Output:

A) Brief (structured headings)

B) One-paragraph draft intro

C) Suggested title/meta (3 options)

Rules:

Purpose: Make a page more extractable, quoteable, and structured for AI-driven search and featured answers.

Inputs:

Paste-ready prompt:

"You are optimizing content for AI answer engines and SERP features.

Page content:

{{PAGE_TEXT_OR_HTML}}

Target queries:

{{TARGET_QUERIES}}

Tasks:

1) Score the page (0–5 each) on:

2) Identify 10 rewrite recommendations that improve extractability:

3) Draft:

Output:

A) Scorecard

B) Recommendations (prioritized)

C) Draft blocks (TL;DR, takeaways, Q&A)

Rules:

Purpose: Decide what to refresh first and what to change.

Inputs:

Paste-ready prompt:

"You are building a content refresh plan.

Pages + metrics:

{{PAGES_LIST_WITH_METRICS}}

Query-by-page (optional):

{{GSC_QUERY_BY_PAGE}}

Tasks:

1) Define a refresh priority score using available fields (show formula).

2) Identify:

3) Produce a prioritized list of pages to refresh (top 20).

4) For the top 5 pages, write a refresh spec:

Output:

A) Priority scoring formula

B) Ranked table

C) Top 5 refresh specs

Rules:

If you want a single image to share internally, generate a “20 SEO Claude Skills Matrix” with:

Prompt for an image generator:

"Create a clean, professional infographic titled ‘SEO Claude Skills: 20 Ready-to-Use Skills’. Use a 5-column matrix with color-coded category bands: On-page (blue), GSC (green), Audits (orange), Technical (purple), Keywords/Authority (teal). Include all 20 skill names as rows. Minimal icons, lots of whitespace, legible typography, 16:9 layout, light background. No logos."