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無料Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
日本語の概要は準備中です。原文の説明を表示しています。
Content quality audit for both traditional SEO (E-E-A-T) and AI search (citability, structure, authority). Use when user says "content audit", "content quality", "E-E-A-T", "AI citability", "content analysis", or "is my content good for SEO".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Check both traditional SEO (E-E-A-T) and AI search (citability)
| Dimension | Goal | Key Metrics |
|---|---|---|
| Traditional SEO | Google rankings | E-E-A-T score, keywords, structure |
| AI Citability | ChatGPT/Perplexity citations | Extractability, authority signals, third-party presence |
Read seo/references/eeat-framework.md for full criteria.
Compare against page type minimums:
| Page Type | Minimum |
|---|---|
| Homepage | 500 |
| Service page | 800 |
| Blog post | 1,500 |
| Product page | 300+ (400+ for complex products) |
| Location page | 500-600 |
Important: These are topical coverage floors, not targets. Google has confirmed word count is NOT a direct ranking factor. The goal is comprehensive topical coverage — a 500-word page that thoroughly answers the query will outrank a 2,000-word page that doesn't. Use these as guidelines for adequate coverage depth, not rigid requirements.
Note: Flesch Reading Ease is a useful proxy for content accessibility but is NOT a direct Google ranking factor. John Mueller has confirmed Google does not use basic readability scores for ranking. Yoast deprioritized Flesch scores in v19.3. Use readability analysis as a content quality indicator, not as an SEO metric to optimize directly.
Google's raters now formally assess whether content appears AI-generated.
Helpful Content System (March 2024): The Helpful Content System was merged into Google's core ranking algorithm during the March 2024 core update. It no longer operates as a standalone classifier. Helpfulness signals are now weighted within every core update — the same principles apply (people-first content, demonstrating E-E-A-T, satisfying user intent), but enforcement is continuous rather than through separate HCU updates.
Optimize for AI search engines (ChatGPT, Perplexity, Google AI Overviews):
Google AI Mode launched publicly in May 2025 as a separate tab in Google Search, available in 180+ countries. Unlike AI Overviews (which appear above organic results), AI Mode provides a fully conversational search experience with zero organic blue links — making AI citation the only visibility mechanism.
Key optimization strategies for AI citation:
Generative Engine Optimization (GEO):
GEO is the emerging discipline of optimizing content specifically for AI-generated answers. Key GEO signals include: quotability (clear, concise extractable facts), attribution (source citations within your content), structure (well-organized heading hierarchy), and freshness (regularly updated data). Cross-reference the seo-geo skill for detailed GEO workflows.
| Factor | Score | Key Signals |
|---|---|---|
| Experience | XX/25 | ... |
| Expertise | XX/25 | ... |
| Authoritativeness | XX/25 | ... |
| Trustworthiness | XX/25 | ... |
Source: Princeton GEO Research + Industry Best Practices
AI systems extract paragraphs, not entire pages. Each key claim should stand alone.
| Content Block Type | Use Case | Example |
|---|---|---|
| Definition block | "What is X?" | "CRM is software that manages customer relationships..." |
| Steps block | "How to do X?" | "Step 1... Step 2... Step 3..." |
| Comparison table | "X vs Y" | Feature comparison table |
| Pros/cons block | Evaluation queries | "Pros:... Cons:..." |
| FAQ block | Common questions | Q:... A:... |
| Statistics block | Data support | "According to 2025 survey, 73% of users..." |
Structure Rules:
| Optimization Method | Visibility Boost | How to Do |
|---|---|---|
| Cite sources | +40% | Add authoritative citations and links |
| Add statistics | +37% | Specific numbers + source |
| Expert quotes | +30% | "According to [expert]..." |
| Authoritative tone | +25% | Demonstrate expertise |
| Keyword stuffing | -10% | Reduces AI visibility |
Best combination: Fluency + Statistics = Maximum boost
AI doesn't just cite your website, it cites where you appear.
| Platform | AI Citation Share | Action |
|---|---|---|
| Wikipedia | 7.8% | Ensure brand page is accurate |
| 1.8% | Participate in relevant communities | |
| YouTube | High | Create video content |
| Review sites | Medium | Keep G2, Capterra updated |
| Quora | Medium | Give in-depth answers to related questions |
Content Quality Audit Report
1. Traditional SEO Score: XX/100
- Experience: XX/25
- Expertise: XX/25
- Authoritativeness: XX/25
- Trustworthiness: XX/25
2. AI Citability Score: XX/100
- Structure Extractability: XX/33
- Authority Signals: XX/33
- Third-Party Presence: XX/33
3. Combined Score: XX/100
4. Priority Fixes
- [Specific recommendations]
[PROTOCOL]: Update this header on changes, then check CLAUDE.md
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概要と使いどころ
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
日本語の概要は準備中です。原文の説明を表示しています。
Guides the creation of agile user stories and Gherkin feature files. Use when the user wants to create a user story, write acceptance criteria, define Gherkin scenarios, or author BDD feature files. This should trigger for requests such as Create a user story; Write a user story; I need to write a user story. Part of cursor-rules-java project
日本語の概要は準備中です。原文の説明を表示しています。
Facilitates conversational discovery to create Architectural Decision Records (ADRs) for non-functional requirements using the ISO/IEC 25010:2023 quality model. Use when the user wants to document quality attributes, NFR decisions, security/performance/scalability architecture, or design systems with measurable quality criteria. This should trigger for requests such as Create ADR for Non-functional requirements; Document Non-functional requirements; Capture Non-functional requirements; Generate Non-functional requirements in an ADR. Part of cursor-rules-java project
日本語の概要は準備中です。原文の説明を表示しています。
Run a health check on an existing project: dependency audit, security scan, test runner detection, CI/CD evaluation, and missing configuration analysis. Maps the three execution gates (pre/in/post) from /10x-bootstrapper to an assessment framework for existing codebases. Reads optional context/foundation/stack-assessment.md from /10x-stack-assess to focus checks on identified gaps. Writes context/foundation/health-check.md with findings, prioritized fixes, and an agent-readiness verdict. Use when the user has an existing project and wants to verify its health before working with an agent. Trigger phrases: "health check", "check my project", "audit my project", "is my project healthy", "sprawdź projekt", "audyt projektu", "health-check", "project health". Use AFTER /10x-stack-assess (brownfield chain), BEFORE agent onboarding (m1-l4).
日本語の概要は準備中です。原文の説明を表示しています。
You MUST use this when building projects end-to-end. Orchestrates all 12 team roles — automatically switches between CTO, architect, PM, engineers, SRE, security, DBA, QA, and EM based on the current phase of work. Starts with brainstorming before any implementation.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you need to add or configure Maven plugins in your pom.xml — including quality tools (enforcer, surefire, failsafe, jacoco, pitest, spotbugs, pmd), security scanning (OWASP), code formatting (Spotless), version management, container image build (Jib), build information tracking, and benchmarking (JMH) — through a consultative, modular step-by-step approach that only adds what you actually need. This should trigger for requests such as Add Maven plugins in pom.xml; Improve Maven plugins in pom.xml. Part of cursor-rules-java project
日本語の概要は準備中です。原文の説明を表示しています。