internal-links
Skill0 starsChanged 2 months agoMITView on GitHub
Internal linking audit and prioritized link additions (source, target, anchor, placement, rationale), orphans, anchor fixes, cluster integrity.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- vishal1610kamal/second-braintheir own version, first seen Nov 8, 2026
- Pagepro/nexitytheir own version, first seen Nov 8, 2026
- RightBlogger/bloggingskillstheir own version, first seen Nov 1, 2026
- agencia-conversion/agentic-seo-skillstheir own version, first seen May 29, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- agencia-conversion/agentic-seo-skills★ 51same name
- Pagepro/nexity★ 19same name
- RightBlogger/bloggingskills★ 4same name
- vishal1610kamal/second-brain★ 0same name
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 repository15 other files it gives its agents.
- alignment-auditSkill
- auditSkill
- citable-passageSkill
- content-briefSkill
- entity-coverageSkill
- humanizerSkill
- meta-tagsSkill
- navboost-auditSkill
- optimizeSkill
- researchSkill
- schema-genSkill
- scoreSkill
- seo-fundamentalsSkill
- topic-clustersSkill
- write-seoSkill
The file
Files
/internal-links — Internal linking strategy
Target: $ARGUMENTS
Rules: ${CLAUDE_PLUGIN_ROOT}/skills/seo-fundamentals/SKILL.md (Internal linking) and targets in ${CLAUDE_PLUGIN_ROOT}/skills/seo-fundamentals/references/scoring-spec.md.
Process
- Discover structure — sitemap or domain: fetch the XML sitemap, categorize pages (pillar/hub, article, landing, product, support), identify topic areas. Single page:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/fetch_page.py "<url>" --jsonfor its topic, entity, and current internal links with anchors; do the same for candidate related pages. - Audit per analyzed page — internal link count (target 3–5+), anchor quality (descriptive 2–5 words vs "click here"), contextual vs navigation-only, orphans (0 inbound), click depth (>3 from home), broken internal links.
- Suggest links — for each page: inbound from high-authority related pages, recent same-cluster content, and the pillar; outbound to the pillar, 2–3 siblings, conversion pages where contextual, recent content. Each suggestion: source · target · anchor · placement sentence · rationale (authority flow, journey, topical relevance).
- Cluster integrity — every cluster page → pillar; pillar → every cluster page; 2–3 sibling links; orphaned cluster pages.
Output
- Health summary table — avg links/page · orphans · generic-anchor % (<10%) · max click depth (≤3) · broken links (0), each with current / target / status.
- Priority link additions table (from · to · anchor · placement · impact), sorted by impact.
- Orphan pages needing links now.
- Anchor text improvements (current · page · recommended · why).
- Cluster link map with gaps.
- Implementation checklist with effort per item.
Evidence for every claim: the URL and the line/section where the link exists or should go.
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.

