skills/proffesor-for-testing__agentic-qe

mirror of https://github.com/proffesor-for-testing/agentic-qe.git synced 2026-09-19 08:45:47 +08:00

Files

T

Profa 4830e43662 feat: Merge AQE Fleet + Claude Flow into unified CLAUDE.md

✅ UNIFIED CONFIGURATION
- Merged CLAUDE.md (AQE Fleet) + CLAUDE.md.backup (Claude Flow)
- 72 total agents now available (18 QE + 54 Claude Flow)
- Both agent types can work together in coordinated workflows
- Preserved all critical concurrent execution rules

🤖 AGENT ECOSYSTEM
**AQE Fleet (18 agents):**
- Core Testing: qe-test-generator, qe-test-executor, qe-coverage-analyzer, qe-quality-gate, qe-quality-analyzer
- Performance & Security: qe-performance-tester, qe-security-scanner
- Strategic Planning: qe-requirements-validator, qe-production-intelligence, qe-fleet-commander
- Deployment: qe-deployment-readiness
- Advanced Testing: qe-regression-risk-analyzer, qe-test-data-architect, qe-api-contract-validator, qe-flaky-test-hunter
- Specialized: qe-visual-tester, qe-chaos-engineer

**Claude Flow (54 agents):**
- Core Development: coder, reviewer, tester, planner, researcher
- Swarm Coordination: hierarchical-coordinator, mesh-coordinator, adaptive-coordinator, etc.
- Consensus & Distributed: byzantine-coordinator, raft-manager, gossip-coordinator, etc.
- Performance & Optimization: perf-analyzer, performance-benchmarker, task-orchestrator, etc.
- GitHub & Repository: github-modes, pr-manager, code-review-swarm, etc.
- SPARC Methodology: sparc-coord, sparc-coder, specification, pseudocode, architecture, refinement
- Specialized Development: backend-dev, mobile-dev, ml-developer, cicd-engineer, api-docs, system-architect, etc.
- Testing & Validation: tdd-london-swarm, production-validator
- Migration & Planning: migration-planner, swarm-init

📋 COORDINATION SYSTEM
**Two Hook Systems:**
- AQE Hooks: Native TypeScript (100-500x faster, zero dependencies)
- Claude Flow Hooks: External via npx (flexible, feature-rich)

**Memory Namespaces:**
- aqe/* - Quality engineering agent state
- swarm/* - Claude Flow agent state

🚀 QUICK START EXAMPLES
**AQE Only:**
Task("Generate tests", "...", "qe-test-generator")

**Claude Flow Only:**
Task("Research agent", "...", "researcher")

**Combined Pipeline:**
[Single Message]:
  Task("Backend Developer", "...", "backend-dev")  // Claude Flow
  Task("Test Generator", "...", "qe-test-generator")  // AQE
  Task("Security Scanner", "...", "qe-security-scanner")  // AQE
  Task("Code Reviewer", "...", "reviewer")  // Claude Flow

🔧 MCP SERVERS
- agentic-qe: AQE Fleet tools (test generation, execution, quality analysis)
- claude-flow: General agent coordination and SPARC methodology
- ruv-swarm: Optional enhanced coordination
- flow-nexus: Optional cloud features

⚡ CONCURRENT EXECUTION
- GOLDEN RULE: 1 MESSAGE = ALL RELATED OPERATIONS
- TodoWrite: Batch all todos in one call
- Task tool: Spawn all agents in one message
- File operations: Batch all reads/writes/edits
- Always use appropriate subdirectories (never root folder)

📚 COMPLETE DOCUMENTATION
- 18 QE agents + 54 Claude Flow agents
- SPARC methodology integration
- Multi-Model Router (70-81% cost savings)
- Streaming progress support
- Performance benefits from both systems
- Comprehensive troubleshooting guide

💡 BEST PRACTICES
1. Use AQE agents for quality engineering tasks
2. Use Claude Flow agents for general development
3. Combine both in single workflows for full pipeline
4. Always batch operations in single messages
5. Use proper memory namespaces for coordination
6. Never save to root folder

🎯 Performance Benefits
- Claude Flow: 84.8% SWE-Bench solve rate, 2.8-4.4x speed
- AQE Fleet: 100-500x faster hooks, O(log n) algorithms, 10k+ records/sec

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-10-20 14:48:24 +00:00

11 KiB

Raw Permalink Blame History

Phase 4: Skill Optimization Plan

Date: October 20, 2025 Status: In Progress Objective: Optimize all 17 QE skills to production quality

Optimization Criteria

1. Structure (Progressive Disclosure)

✅ Level 1: Quick Start (2-3 sentences, immediate value)
✅ Level 2: Core Concepts (main instructions, 80% use cases)
✅ Level 3: Advanced Techniques (deep dive, edge cases)
✅ Level 4: Reference (troubleshooting, resources, links)

2. QE Agent Integration

Add "Using with QE Agents" section
Show which agents leverage each skill
Provide agent invocation examples
Demonstrate skill-agent coordination patterns

3. Practical Examples

Real-world scenarios from 12+ years QE experience
Concrete code examples (not pseudocode)
Anti-patterns and pitfalls
Before/After comparisons

4. YAML Frontmatter

✅ name: Max 64 chars, Title Case
✅ description: Max 1024 chars, includes WHAT and WHEN

5. Cross-References

Link to related skills
Reference relevant agents
Connect to QE Fleet ecosystem

Skills Analysis

Core Quality Practices (5 skills)

1. holistic-testing-pact ✅

Status: Good structure, needs agent integration Enhancements:

Add "Using with QE Agents" section
Link to qe-quality-gate, qe-fleet-commander
Add practical PACT implementation example
Include metrics for PACT adoption

2. context-driven-testing ✅

Status: Excellent content, needs minor updates Enhancements:

Add agent examples for exploratory testing
Link to qe-test-generator (context-aware generation)
Add decision tree for approach selection
Include RST agent patterns

3. agentic-quality-engineering ⚠️

Status: Too brief, needs expansion Enhancements:

Expand from ~60 lines to ~300-400 lines
Add detailed agent architecture patterns
Show Q-learning integration examples
Add swarm coordination patterns
Include ROI calculations for agentic QE
Link ALL 18 QE agents with use cases

4. exploratory-testing-advanced ✅

Status: Comprehensive, needs agent integration Enhancements:

Add qe-flaky-test-hunter integration
Show automated charter generation
Add AI-assisted test tour planning
Include agent-augmented exploration patterns

5. risk-based-testing ❌

Status: Missing YAML frontmatter! Critical fix needed Enhancements:

ADD YAML FRONTMATTER (blocking issue)
Add qe-regression-risk-analyzer integration
Show ML-based risk assessment
Add agent-driven risk monitoring
Include production intelligence patterns

Development Methodologies (3 skills)

6. tdd-london-chicago ✅

Status: Excellent comparison, needs agent examples Enhancements:

Add qe-test-generator TDD mode
Show agent-assisted test-first development
Include AI code review for TDD quality
Add refactoring agent patterns