Analyzes and optimizes internal link structure to improve site authority distribution and search engine crawlability.
Works with
Maps current internal linking patterns, identifies orphan pages with no inbound links, and detects authority flow bottlenecks across the site
Provides anchor text optimization recommendations to improve topical relevance and avoid over-optimization
Creates topic cluster and pillar-cluster linking strategies with specific source-target-anchor recommendations
Generat
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioninternal-linking-optimizerExecute the skills CLI command in your project's root directory to begin installation:
Fetches internal-linking-optimizer from aaron-he-zhu/seo-geo-claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate internal-linking-optimizer. Access via /internal-linking-optimizer in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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SEO & GEO Skills Library · 20 skills for SEO + GEO · ClawHub · skills.sh System Mode: This optimization skill follows the shared Skill Contract and State Model.
This skill analyzes your site's internal link structure and provides recommendations to improve SEO through strategic internal linking. It helps distribute authority, establish topical relevance, and improve crawlability.
System role: Optimization layer skill. It turns weak pages, structures, and technical issues into prioritized repair work.
Use this when the conversation involves any of these situations — even if the user does not use SEO terminology:
Use this whenever the task needs a diagnosis or repair plan that should feed directly into remediation work, not just a one-time opinion.
Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.
Analyze internal linking structure for [domain/sitemap]
Find internal linking opportunities for [URL]
Create internal linking plan for topic cluster about [topic]
Suggest internal links for this new article: [content/URL]
Find orphan pages on [domain]
Optimize anchor text across the site
Expected output: a scored diagnosis, prioritized repair plan, and a short handoff summary ready for memory/audits/.
memory/audits/.memory/open-loops.md and memory/decisions.md.Next Best Skill below when the repair path is clear.Note: All integrations are optional. This skill works without any API keys — users provide data manually when no tools are connected.
See CONNECTORS.md for tool category placeholders.
With ~~web crawler + ~~analytics connected: Claude can automatically perform a full site crawl via ~~web crawler to map the complete link graph, fetch page performance metrics from ~~analytics to identify high-value pages, and analyze link flow throughout the site. This enables data-driven internal linking strategies.
With manual data only: Ask the user to provide:
Proceed with the analysis using provided data. Note in the output which findings are from automated crawl vs. manual review.
When a user requests internal linking optimization:
Analyze Current Internal Link Structure
## Internal Link Structure Analysis
### Overview
**Domain**: [domain]
**Total Pages Analyzed**: [X]
**Total Internal Links**: [X]
**Average Links per Page**: [X]
### Link Distribution
| Links per Page | Page Count | Percentage |
|----------------|------------|------------|
| 0 (Orphan) | [X] | [X]% |
| 1-5 | [X] | [X]% |
| 6-10 | [X] | [X]% |
| 11-20 | [X] | [X]% |
| 20+ | [X] | [X]% |
### Top Linked Pages
| Page | Internal Links | Authority | Notes |
|------|----------------|-----------|-------|
| [URL 1] | [X] | High | [notes] |
| [URL 2] | [X] | High | [notes] |
| [URL 3] | [X] | Medium | [notes] |
### Under-Linked Important Pages
| Page | Current Links | Traffic | Recommended Links |
|------|---------------|---------|-------------------|
| [URL 1] | [X] | [X]/mo | [X]+ |
| [URL 2] | [X] | [X]/mo | [X]+ |
**Structure Score**: [X]/10
Identify Orphan Pages
## Orphan Page Analysis
### Definition
Orphan pages have no internal links pointing to them, making them
hard for users and search engines to discover.
### Orphan Pages Found: [X]
| Page | Traffic | Priority | Recommended Action |
|------|---------|----------|-------------------|
| [URL 1] | [X]/mo | High | Link from [pages] |
| [URL 2] | [X]/mo | Medium | Add to navigation |
| [URL 3] | 0 | Low | Consider deleting/redirecting |
### Fix Strategy
**High Priority Orphans** (have traffic/rankings):
1. [URL] - Add links from: [relevant pages]
2. [URL] - Add links from: [relevant pages]
**Medium Priority Orphans** (potentially valuable):
1. [URL] - Add to category/tag page
2. [URL] - Link from related content
**Low Priority Orphans** (consider removing):
1. [URL] - Redirect to [better page]
2. [URL] - Delete or noindex
Analyze Anchor Text Distribution
CORE-EEAT alignment: Internal linking quality maps to R08 (Internal Link Graph) in the CORE-EEAT benchmark -- use descriptive anchors, ensure links support topical authority. See content-quality-auditor for full audit.
## Anchor Text Analysis
### Current Anchor Text Patterns
**Most Used Anchors**:
| Anchor Text | Count | Target Pages | Assessment |
|-------------|-------|--------------|------------|
| "click here" ✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.6★★★★★64 reviews- HHiroshi Sharma★★★★★Dec 28, 2024
internal-linking-optimizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- HHiroshi Shah★★★★★Dec 28, 2024
Useful defaults in internal-linking-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- IIshan Chen★★★★★Dec 24, 2024
Solid pick for teams standardizing on skills: internal-linking-optimizer is focused, and the summary matches what you get after install.
- DDhruvi Jain★★★★★Dec 20, 2024
Useful defaults in internal-linking-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- IIsabella Srinivasan★★★★★Dec 20, 2024
internal-linking-optimizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- NNeel Diallo★★★★★Dec 16, 2024
I recommend internal-linking-optimizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- IIsabella Singh★★★★★Dec 16, 2024
internal-linking-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- JJames Huang★★★★★Nov 27, 2024
Registry listing for internal-linking-optimizer matched our evaluation — installs cleanly and behaves as described in the markdown.
- HHenry Thomas★★★★★Nov 19, 2024
Useful defaults in internal-linking-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAditi Ndlovu★★★★★Nov 19, 2024
internal-linking-optimizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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