@mastepanoski/claude-skills

Professional UX/UI evaluation and AI governance skills for AI coding assistants. Audit your interfaces using industry-standard methodologies like Nielsen’s heuristics, WCAG compliance, and Don Norman’s principles.

🌐 Browse on skills.sh

📦 View all skills → | Official directory by Vercel

Our skills are indexed on skills.sh — the open directory for discovering agent skills across the ecosystem. Each skill below has a direct link to its skills.sh page where you can see install commands, usage examples, and community stats.

🤖 Compatible AI Assistants

These skills are plain SKILL.md folders and work with assistants that support the Agent Skills standard:

• ✅ Claude Code (Anthropic) - install into .claude/skills/ or with npx skills
• ✅ OpenAI Codex CLI - use the same skill folders in .codex/skills/ or with npx skills
• ✅ ChatGPT
• ✅ Any other agent supporting the specification

No separate Claude/Codex variants are maintained; the shared skills//SKILL.md files are the source of truth.

🚀 Quick Start

# List all available skills
npx skills add mastepanoski/claude-skills --list

# Install a specific skill
npx skills add mastepanoski/claude-skills --skill wcag-accessibility-audit

# Install all skills
npx skills add mastepanoski/claude-skills

After installation, simply ask your AI assistant to use the skill:

• “Audit my login page using WCAG standards”
• “Evaluate this component with Nielsen’s heuristics”
• “Review the visual design of this interface”

The AI will automatically detect when to use the installed skills based on your request.

📚 Available Skills

🎨 UX/UI Evaluation Suite

⭐ ux-audit-rethink - Complete UX Evaluation

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill ux-audit-rethink

Holistic UX audit using the Interaction Design Foundation’s frameworks:

• 7 UX factors: Useful, Usable, Findable, Credible, Desirable, Accessible, Valuable
• 5 Usability characteristics: Learnability, Efficiency, Memorability, Errors, Satisfaction
• 5 Interaction dimensions: Words, Visual, Space, Time, Behavior

Best for: Comprehensive interface evaluation with strategic redesign proposals

Example usage:

"Perform a complete UX audit on my e-commerce checkout flow"
"Evaluate the overall UX of this dashboard and propose improvements"

---

nielsen-heuristics-audit - Usability Inspection

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill nielsen-heuristics-audit

Systematic evaluation using Jakob Nielsen’s 10 usability heuristics:

• Visibility of system status
• Match between system and real world
• User control and freedom
• Consistency and standards
• Error prevention
• And 5 more…

Includes: Severity ratings (0-4 scale), actionable recommendations

Best for: Quick usability inspection, identifying major usability problems

Example usage:

"Check my app against Nielsen's heuristics"
"Find usability issues in this navigation menu"

---

wcag-accessibility-audit - Legal Compliance Checker

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill wcag-accessibility-audit

Complete WCAG 2.1/2.2 accessibility audit:

• 4 POUR principles: Perceivable, Operable, Understandable, Robust
• Conformance levels: A, AA, AAA
• Automated + manual testing procedures

Best for: Legal compliance (ADA, Section 508), inclusive design, accessibility certification

Example usage:

"Audit my website for WCAG AA compliance"
"Check if this form meets accessibility standards"

---

don-norman-principles-audit - Fundamental Design Check

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill don-norman-principles-audit

Evaluate interfaces using Don Norman’s 7 principles from The Design of Everyday Things:

• Discoverability, Affordances, Signifiers
• Feedback, Mapping, Constraints
• Conceptual models

Best for: Evaluating intuitiveness and learnability of new interfaces

Example usage:

"Check if users can discover key features in my app"
"Evaluate the affordances in this mobile interface"

---

information-architecture-audit - Structure, Labels, Navigation, Search

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill information-architecture-audit

Audit or design the information architecture using the four-system model (organization, labeling, navigation, search) and 8 IA principles:

• Content inventory and audit (keep / update / merge / remove / gap)
• Organization schemes, hierarchy breadth/depth, growth
• Label consistency, clarity, and convention
• Global/local/contextual navigation, breadcrumbs, search and facets
• Card sorting and tree testing plan, sitemap proposal

Best for: Findability problems, redesigns, new sitemaps, navigation overhauls

---

cognitive-walkthrough - Task-Specific Deep Dive

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill cognitive-walkthrough

Step-by-step simulation of novice user cognition for specific tasks:

• Will users know what to do?
• Will they see how to do it?
• Will they understand feedback?
• Will they know if they succeeded?

Best for: Testing onboarding flows, critical user tasks, first-time user experience

Example usage:

"Walk through the signup process as a new user"
"Analyze the 'create new project' task for a first-time user"

---

ui-design-review - Visual Design Polish

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill ui-design-review

Comprehensive visual design evaluation across 10 dimensions:

• Typography & hierarchy
• Color system & contrast
• Spacing & layout grid
• Component consistency
• Branding & category conventions

Best for: Visual refinement, design system audits, brand consistency

Example usage:

"Review the visual design of my landing page"
"Check if my component library is consistent"

---

🛡️ AI Governance & Security

iso-42001-ai-governance - Responsible AI Audit

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill iso-42001-ai-governance

AI system governance using ISO 42001:2023 standard:

• Risk management & impact assessment
• Ethics & fairness evaluation
• Security & privacy controls
• Transparency & explainability
• Regulatory compliance (EU AI Act, GDPR)

Best for: AI product development, ML system audits, regulatory preparation

Example usage:

"Audit my recommendation algorithm for ISO 42001 compliance"
"Review AI governance practices for our chatbot"

---

nist-ai-rmf - AI Risk Management

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill nist-ai-rmf

AI risk assessment using NIST AI RMF 1.0 framework:

• 4 core functions: Govern, Map, Measure, Manage
• 7 trustworthiness characteristics: Valid, Safe, Secure, Accountable, Explainable, Privacy, Fair
• Risk register and remediation roadmap
• Generative AI considerations (NIST AI 600-1)

Best for: AI risk assessment, regulatory preparation, organizational AI governance, trustworthy AI evaluation

Example usage:

"Assess risks of our AI recommendation system using NIST AI RMF"
"Evaluate trustworthiness of our chatbot deployment"
"Conduct an AI risk management review for our ML pipeline"

---

owasp-llm-top10 - LLM Security Audit

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill owasp-llm-top10

Security audit for LLM and GenAI applications using OWASP Top 10 for LLM Apps 2025:

• 10 critical vulnerabilities: Prompt Injection, Sensitive Info Disclosure, Supply Chain, Data Poisoning, Improper Output Handling, Excessive Agency, System Prompt Leakage, Vector Weaknesses, Misinformation, Unbounded Consumption
• Attack vectors and mitigation strategies
• Security controls matrix and remediation roadmap

Best for: LLM application security, penetration testing, secure AI architecture, GenAI compliance

Example usage:

"Audit security of our AI chatbot for OWASP LLM vulnerabilities"
"Check our RAG system for prompt injection and data leakage risks"
"Review security posture of our GenAI application"

---

owasp-ai-testing - AI Trustworthiness Testing

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill owasp-ai-testing

Systematic AI trustworthiness testing using OWASP AI Testing Guide v1 (2025):

• 32 test cases across 4 layers: Application, Model, Infrastructure, Data
• Practical payloads, observable indicators, and remediation for each test
• Goes beyond security: fairness, explainability, reliability, privacy
• Test IDs: AITG-APP (14), AITG-MOD (7), AITG-INF (6), AITG-DAT (5)

Best for: AI penetration testing, trustworthiness validation, red-team exercises, CI/CD test suites

Example usage:

"Run OWASP AI testing on our chatbot application"
"Test our RAG system for prompt injection and data leakage"
"Execute a trustworthiness assessment of our ML pipeline"

---

🇪🇺 gdpr-audit - GDPR Compliance Audit

npx skills add mastepanoski/claude-skills --skill gdpr-audit

Technical GDPR audit of code, plans, schemas, or IaC using a detection-guide methodology:

• Builds a processing map, then emits findings with GDPR article citations, severity, confidence, and evidence
• Distinguishes confirmed issues, likely issues, evidence gaps, and advisories — never invents policy gaps from thin air
• 15 detection guides in references/ (lawful basis, consent, transfers, DSAR, DPIA, profiling/AI, …)
• Built-in disclaimer: a technical audit, not legal advice or a compliance determination

Best for: pre-DPIA scoping, repo/plan privacy review, vendor/SDK onboarding, data-protection gap analysis

Example usage:

"Run a GDPR audit on this repository"
"Review this database schema for personal data handling"
"Check our Terraform for international data transfer issues"

---

ai-assessment-scale - AI Contribution Measurement

→ View on skills.sh

npx skills add mastepanoski/claude-skills --skill ai-assessment-scale

Evaluate AI contribution levels using the AI Assessment Scale (AIAS) framework:

• 5-level framework: No AI → AI Planning → AI Collaboration → Full AI → AI Exploration
• Transparency and disclosure recommendations
• Human oversight assessment
• Development stage analysis (planning, implementation, testing, docs)

Best for: AI usage transparency, project documentation, team workflow assessment, compliance disclosure

Example usage:

"Evaluate the AI contribution level in my project"
"Assess how much AI was used in this codebase"
"Generate an AIAS transparency report for my repository"

---

💡 How to Use

1. Install the skill you need

npx skills add mastepanoski/claude-skills --skill nielsen-heuristics-audit

2. Provide context to your AI assistant

Share the URL, screenshot, or code of your interface:

"Here's my login page: https://example.com/login"
"I've attached a screenshot of my dashboard"
"Here's the React component code for my form"

3. Request the evaluation

"Audit this using WCAG standards"
"Check this against Nielsen's heuristics"
"Perform a complete UX evaluation"

4. Receive structured report

The AI will provide:

• ✅ What works well
• ❌ Issues found (with severity)
• 💡 Specific recommendations
• 🎯 Priority actions

🎯 Skill Selection Guide

Choose based on your goal:

Pro tip: Start with ux-audit-rethink for comprehensive evaluation, then use specialized skills to deep-dive into specific areas.

🌐 Discover More Skills

Featured on skills.sh

Browse our collection → | Search all skills →

skills.sh is the official open directory by Vercel for discovering agent skills. Our skills are automatically indexed with:

• 📊 Real-time install statistics
• 🔍 Full-text search across all skills
• 📦 One-click install commands
• 🏆 Community leaderboard

Other skill directories:

• SkillsMP - Agent Skills Marketplace
• Skills Directory - Open registry
• MCP Market - Multi-platform skills catalog

📖 Learn More

• Agent Skills Specification - Technical standard
• Claude Code Skills Docs - Official documentation
• How to Create Skills - Tutorial

🤝 Contributing

Want to improve these skills or create new ones? Check out:

• DEVELOPMENT.md - Technical guide for developers
• CONTRIBUTING.md - Contribution guidelines and standards
• CHANGELOG.md - Version history

We welcome pull requests for:

• New evaluation frameworks
• Improved audit procedures
• Bug fixes and refinements
• Better examples and documentation

📝 License

MIT License - See LICENSE file for details

---

Questions? Open an issue on GitHub

Built with ❤️ by @mastepanoski