SEO Francisco Claude Skill Pack

Version: 2026-07-03

These are reusable skill specs you can adapt into Claude projects, Claude Code skills, or your own agent instructions. Each skill is intentionally narrow.

Skill 1: Brand Brief Keeper

Purpose: Keep Claude aligned with the brand, offer, audience, and proof boundaries.

Inputs:

• Brand notes
• priority pages
• tone rules
• competitor list
• proof points

Rules:

• Never invent credentials, clients, metrics, or case studies.
• Flag weak or unsupported claims.
• Keep one canonical brief.

Output:

• Brand brief
• do-not-say list
• claims needing proof

Skill 2: Source Pack Builder

Purpose: Convert research into a clean evidence pack before drafting.

Rules:

• Primary sources first.
• Separate confirmed facts from interpretation.
• Write claim boundaries before the article.
• List missing sources.

Output:

• confirmed facts
• caveats
• links
• angle
• claims to avoid

Skill 3: AI Citation Gap Finder

Purpose: Find prompts where competitors appear and the brand does not.

Rules:

• Save raw prompt answers.
• Track mentions and citations separately.
• Do not turn one run into a score.
• Label confidence.

Output:

• citation gaps
• competitor domains
• next content action

Skill 4: Competitor Citation Teardown

Purpose: Understand what kinds of sources AI systems cite for money prompts.

Rules:

• Group by domain and format.
• Identify evidence style.
• Separate content work from link/distribution work.

Output:

• cited domains
• cited formats
• gaps
• recommendations

Skill 5: Prompt Fan-Out Mapper

Purpose: Expand one target query into the support questions an AI answer needs.

Rules:

• Do not bloat the page.
• Group prompts by decision stage.
• Mark must-cover versus optional.

Output:

• prompt clusters
• missing sections
• FAQ candidates

Skill 6: Content Decay Checker

Purpose: Detect and prioritize declining pages.

Rules:

• Use GSC evidence.
• Separate clicks, impressions, CTR, and position.
• Flag pages down by threshold.
• Do not invent causes.

Output:

• decay list
• lost query groups
• refresh plan

Skill 7: Internal Link Opportunity Mapper

Purpose: Add useful internal links that help users and search engines.

Rules:

• Link because the next page helps.
• Avoid generic anchors.
• Avoid repetitive exact match anchors.

Output:

• anchor
• source placement
• target URL
• reason

Skill 8: Schema Evidence Auditor

Purpose: Ensure structured data matches visible facts.

Rules:

• No unsupported schema.
• Validate against visible content.
• Separate error, warning, and opportunity.

Output:

• issue
• evidence
• fix
• validation

Skill 9: Rendering And JavaScript SEO Inspector

Purpose: Compare what exists in source, render, and crawl output.

Rules:

• Do not assume client-side content is safe.
• Check links, canonicals, meta robots, schema, and primary copy.

Output:

• confirmed differences
• SEO risk
• test plan

Skill 10: AI Answer Snapshot Logger

Purpose: Preserve raw answer evidence before summarizing.

Rules:

• Save prompt, platform, timestamp, answer, citations, and model/surface when available.
• Never rewrite the raw answer.

Output:

• answer archive
• mention/citation table

Skill 11: Entity And Author Evidence Gate

Purpose: Confirm the page shows why the author or brand is credible.

Rules:

• Require visible experience signals.
• Link to relevant author, service, and proof pages.
• Flag generic bios.

Output:

• missing evidence
• fixes
• confidence

Skill 12: YouTube SEO And Video Citation Mapper

Purpose: Connect article, video, description, transcript, and related videos.

Rules:

• Include article link.
• Include relevant video interlinks.
• Keep metadata natural.
• Set AI use disclosure according to the production rule.

Output:

• title
• description
• chapters
• related links

Skill 13: Release-Day QA Gate

Purpose: Decide whether publication can proceed.

Rules:

• PASS means every blocking gate is done.
• Pending is not PASS.
• English and Spanish ship together.

Output:

• gate table
• blockers
• next action

Skill 14: Weekly AI Visibility Report

Purpose: Turn noisy AI/search data into a weekly operating report.

Rules:

• No fake trend lines.
• Separate citations, mentions, rankings, and traffic.
• End with three priorities.

Output:

• summary
• movers
• gaps
• three priorities

Skill 15: Memory And Decision Log Keeper

Purpose: Preserve corrections and process decisions.

Rules:

• Record user corrections.
• Record rejected assets.
• Record final approved paths.
• Record blockers with dates.

Output:

• memory note
• package ledger update
• next-action summary