a11y-ally
Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse,…
Apply Edward de Bono's Six Thinking Hats methodology to software testing for comprehensive quality analysis. Use when designing test strategies, conducting test retrospectives, analyzing test failures, evaluating testing approaches, or facilitating testing discussions. Each hat
$ npx -y skills add proffesor-for-testing/agentic-qe --skill six-thinking-hats --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/six-thinking-hatsContext preview
The summary Claude sees to decide when to auto-load this skill.
Apply Edward de Bono's Six Thinking Hats methodology to software testing for comprehensive quality analysis. Use when designing test strategies, conducting test retrospectives, analyzing test failures, evaluating testing approaches, or facilitating testing discussions. Each hat
name: six-thinking-hats description: "Apply Edward de Bono's Six Thinking Hats methodology to software testing for comprehensive quality analysis. Use when designing test strategies, conducting test retrospectives, analyzing test failures, evaluating testing approaches, or facilitating testing discussions. Each hat provides a distinct testing perspective: facts (White), risks (Black), benefits (Yellow), creativity (Green), emotions (Red), and process (Blue)." category: methodology priority: medium tokenEstimate: 1100 agents: [qe-quality-analyzer, qe-regression-risk-analyzer, qe-test-generator] implementation_status: optimized optimization_version: 1.0 last_optimized: 2025-12-03 dependencies: [] quick_reference_card: true tags: [thinking, methodology, decision-making, collaboration, analysis] trust_tier: 0 validation:
<default_to_action> When analyzing testing decisions: 1. DEFINE focus clearly (specific testing question) 2. APPLY each hat sequentially (5 min each) 3. DOCUMENT insights per hat 4. SYNTHESIZE into action plan
**Quick Hat Rotation (30 min):**
🤍 WHITE (5 min) - Facts only: metrics, data, coverage ❤️ RED (3 min) - Gut feelings (no justification needed) 🖤 BLACK (7 min) - Risks, gaps, what could go wrong 💛 YELLOW (5 min) - Strengths, opportunities, what works 💚 GREEN (7 min) - Creative ideas, alternatives 🔵 BLUE (3 min) - Action plan, next steps
**Example for "API Test Strategy":**
</default_to_action>
| Hat | Focus | Key Question | |-----|-------|--------------| | 🤍 **White** | Facts & Data | What do we KNOW? | | ❤️ **Red** | Emotions | What do we FEEL? | | 🖤 **Black** | Risks | What could go WRONG? | | 💛 **Yellow** | Benefits | What's GOOD? | | 💚 **Green** | Creativity | What ELSE could we try? | | 🔵 **Blue** | Process | What should we DO? |
| Hat | Use For | |-----|---------| | 🤍 White | Baseline metrics, test data inventory | | ❤️ Red | Team confidence check, quality gut feel | | 🖤 Black | Risk assessment, gap analysis, pre-mortems | | 💛 Yellow | Strengths audit, quick win identification | | 💚 Green | Test innovation, new approaches, brainstorming | | 🔵 Blue | Strategy planning, retrospectives, decision-making |
---
**Output: Quantitative testing baseline**
Questions:
Example Output: Coverage: 67% line, 45% branch Test Suite: 1,247 unit, 156 integration, 23 E2E Execution Time: Unit 3min, Integration 12min, E2E 45min Defects: 23 open (5 critical, 8 major, 10 minor)
**Output: Comprehensive risk assessment**
Questions:
HIGH RISKS: - No load testing (production outage risk) - Auth edge cases untested (security vulnerability) - Database failover never tested (data loss risk)
**Output: Strengths and opportunities**
Questions:
STRENGTHS: - Strong CI/CD pipeline - Team expertise in automation - Stakeholders value quality QUICK WINS: - Add smoke tests (reduce incidents) - Automate manual regression (save 2 days/release)
**Output: Innovative testing ideas**
Questions:
IDEAS: 1. AI-powered test generation 2. Chaos engineering for resilience 3. Property-based testing for edge cases 4. Production traffic replay 5. Synthetic monitoring
**Output: Team gut feelings (NO justification needed)**
Questions:
FEELINGS: - Confident: Unit tests, API tests - Anxious: Authentication flow, payment processing - Frustrated: Flaky tests, slow E2E suite
**Output: Action plan with owners and timelines**
Questions:
PRIORITIZED ACTIONS: 1. [Critical] Address security testing gap - Owner: Alice 2. [High] Implement contract testing - Owner: Bob 3. [Medium] Reduce flaky tests - Owner: Carol
---
# Six Hats Analysis: [Topic] ## 🤍 White Hat (5 min) Facts: [list metrics, data] ## ❤️ Red Hat (3 min) Feelings: [gut reactions, no justification] ## 🖤 Black Hat (7 min) Risks: [what could go wrong] ## 💛 Yellow Hat (5 min) Strengths: [what works, opportunities] ## 💚 Green Hat (7 min) Ideas: [creative alternatives] ## 🔵 Blue Hat (3 min) Actions: [prioritized next steps]
---
// Risk-focused analysis (Black Hat)
const risks = await Task("Identify Risks", {
scope: 'payment-module',
perspective: 'black-hat',
includeMitigation: true
}, "qe-regression-risk-analyzer");
// Creative test approaches (Green Hat)
const ideas = await Task("Generate Test Ideas", {
feature: 'new-auth-system',
perspective: 'green-hat',
includeEmergingTechniques: true
}, "qe-test-generator");
// Comprehensive analysisAI-powered quality engineering agents that generate tests, find coverage gaps, detect flaky tests, and learn your codebase patterns — across 11 coding agent platforms.
Repo: proffesor-for-testing/agentic-qe
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