internal-linking-optimizer▌
aaron-he-zhu/seo-geo-claude-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Analyzes and optimizes internal link structure to improve site authority distribution and search engine crawlability.
- ›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
Internal Linking Optimizer
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.
When This Must Trigger
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.
- Improving site architecture for SEO
- Distributing authority to important pages
- Fixing orphan pages with no internal links
- Creating topic cluster internal link strategies
- Optimizing anchor text for SEO
- Recovering pages that have lost rankings
- Planning internal links for new content
What This Skill Does
- Link Structure Analysis: Maps current internal linking patterns
- Authority Flow Mapping: Shows how PageRank flows through site
- Orphan Page Detection: Finds pages with no internal links
- Anchor Text Optimization: Improves anchor text diversity
- Topic Cluster Linking: Creates pillar-cluster link strategies
- Link Opportunity Finding: Identifies where to add links
- Navigation Optimization: Improves site-wide link elements
Quick Start
Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.
Analyze Current Structure
Analyze internal linking structure for [domain/sitemap]
Find internal linking opportunities for [URL]
Create Linking Strategy
Create internal linking plan for topic cluster about [topic]
Suggest internal links for this new article: [content/URL]
Fix Issues
Find orphan pages on [domain]
Optimize anchor text across the site
Skill Contract
Expected output: a scored diagnosis, prioritized repair plan, and a short handoff summary ready for memory/audits/.
- Reads: the current page or site state, symptoms, prior audits, and current priorities from CLAUDE.md and the shared State Model when available.
- Writes: a user-facing audit or optimization plan plus a reusable summary that can be stored under
memory/audits/. - Promotes: blocking defects, repeated weaknesses, and fix priorities to
memory/open-loops.mdandmemory/decisions.md. - Next handoff: use the
Next Best Skillbelow when the repair path is clear.
Data Sources
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:
- Sitemap URL or list of important pages
- Key page URLs that need more internal links
- Content categories or topic clusters
- Any existing link structure documentation
Proceed with the analysis using provided data. Note in the output which findings are from automated crawl vs. manual review.
Instructions
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"how to use internal-linking-optimizerHow to use internal-linking-optimizer on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add internal-linking-optimizer
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/aaron-he-zhu/seo-geo-claude-skills --skill internal-linking-optimizerThe skills CLI fetches
internal-linking-optimizerfrom GitHub repositoryaaron-he-zhu/seo-geo-claude-skillsand configures it for Cursor.3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/internal-linking-optimizerReload or restart Cursor to activate internal-linking-optimizer. Access the skill through slash commands (e.g.,
/internal-linking-optimizer) or your agent's skill management interface.⚠Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
GET_STARTED →List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
✓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
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share 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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.6★★★★★64 reviews- ★★★★★Hiroshi Sharma· Dec 28, 2024
internal-linking-optimizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hiroshi 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.
- ★★★★★Ishan 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.
- ★★★★★Dhruvi 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.
- ★★★★★Isabella Srinivasan· Dec 20, 2024
internal-linking-optimizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Neel Diallo· Dec 16, 2024
I recommend internal-linking-optimizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Singh· Dec 16, 2024
internal-linking-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★James Huang· Nov 27, 2024
Registry listing for internal-linking-optimizer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Henry 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.
- ★★★★★Aditi 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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