mirror of
https://github.com/proffesor-for-testing/agentic-qe.git
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d7455132bf
- Update agent count from 18 to 19 (added qx-partner)
- Update skill count references to 41 (was inconsistent 37/38/39)
- Add Self-Learning System section to README explaining RL algorithms
- Add Why AQE? section with Problem-Solution table
- Remove outdated What's New and Roadmap sections from README
- Fix flaky detection accuracy claim from 100% to 90%+
- Remove unverified SWE-Bench and token reduction claims
- Add qx-partner to agents list in skills and manifest
- Update all user-facing docs with correct counts
- Add docs/PERFORMANCE.md for verified benchmarks
Files updated:
- README.md, CLAUDE.md, FUNDING.md
- docs/reference/{agents,skills,usage}.md
- .agentic-qe/docs/{agents,skills,usage}.md
- .claude/skills/agentic-quality-engineering/SKILL.md
- .claude/skills/cicd-pipeline-qe-orchestrator/README.md
- .claude/skills/skills-manifest.json
- src/cli/init/{agents,database-init}.ts
- src/telemetry/instrumentation/{agent,index}.ts
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
446 lines
11 KiB
Markdown
446 lines
11 KiB
Markdown
# Agentic QE Fleet - Agent Reference
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This document provides comprehensive reference for all 19 QE agents in the Agentic Quality Engineering Fleet.
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## Overview
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The Agentic QE Fleet is a distributed swarm of AI agents for comprehensive software testing and quality assurance. Each agent specializes in specific quality engineering tasks and coordinates through the `aqe/*` memory namespace.
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---
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## Core Testing Agents (5 agents)
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### qe-test-generator
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**AI-powered test generation with sublinear optimization**
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**Capabilities:**
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- Generates unit, integration, and E2E tests
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- Supports Jest, Mocha, Vitest, Playwright
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- Sublinear optimization algorithms for test selection
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- Property-based testing generation
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- Edge case discovery
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**Usage:**
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```javascript
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Task("Generate tests", "Create comprehensive test suite for UserService", "qe-test-generator")
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```
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**Memory Namespace:**
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- Stores: `aqe/test-plan/generated`
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- Reads: `aqe/coverage/gaps`
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---
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### qe-test-executor
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**Multi-framework test execution with parallel processing**
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**Capabilities:**
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- Executes tests across multiple frameworks
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- Parallel test execution with worker pools
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- Real-time progress streaming
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- Test retry logic for flaky tests
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- Coverage collection
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**Usage:**
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```javascript
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Task("Execute tests", "Run test plan with 90% coverage target", "qe-test-executor")
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```
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**Memory Namespace:**
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- Stores: `aqe/test-results/*`
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- Reads: `aqe/test-plan/generated`
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---
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### qe-coverage-analyzer
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**Real-time gap detection with O(log n) algorithms**
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**Capabilities:**
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- Incremental coverage analysis
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- Sublinear gap detection algorithms
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- Critical path identification
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- Coverage visualization
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- Untested code hotspot detection
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**Usage:**
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```javascript
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Task("Analyze coverage", "Find gaps using O(log n) algorithms", "qe-coverage-analyzer")
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```
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**Memory Namespace:**
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- Stores: `aqe/coverage/gaps`, `aqe/coverage/results`
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- Reads: `aqe/test-results/*`
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---
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### qe-quality-gate
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**Intelligent quality gate with risk assessment**
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**Capabilities:**
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- Multi-factor risk assessment
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- Customizable quality thresholds
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- Trend analysis
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- Deployment readiness scoring
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- Automated go/no-go decisions
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**Usage:**
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```javascript
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Task("Quality check", "Run quality gate validation", "qe-quality-gate")
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```
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**Memory Namespace:**
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- Stores: `aqe/quality/gate-results`
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- Reads: `aqe/coverage/results`, `aqe/test-results/*`
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---
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### qe-quality-analyzer
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**Comprehensive quality metrics analysis**
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**Capabilities:**
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- Quality metrics collection and analysis
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- Trend detection and prediction
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- Technical debt calculation
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- Code health scoring
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- Actionable insights generation
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**Usage:**
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```javascript
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Task("Quality analysis", "Analyze project quality metrics", "qe-quality-analyzer")
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```
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**Memory Namespace:**
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- Stores: `aqe/quality/metrics`
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- Reads: `aqe/quality/*`, `aqe/test-results/*`
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---
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## Performance & Security Agents (2 agents)
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### qe-performance-tester
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**Load testing with k6, JMeter, Gatling integration**
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**Capabilities:**
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- Load, stress, and spike testing
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- Performance baseline establishment
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- Bottleneck identification
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- SLA validation
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- Multi-tool integration (k6, JMeter, Gatling)
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**Usage:**
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```javascript
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Task("Performance test", "Load test critical paths with 1000 concurrent users", "qe-performance-tester")
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```
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**Memory Namespace:**
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- Stores: `aqe/performance/results`
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- Reads: `aqe/test-plan/*`
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---
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### qe-security-scanner
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**Multi-layer security with SAST/DAST scanning**
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**Capabilities:**
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- SAST (Static Application Security Testing)
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- DAST (Dynamic Application Security Testing)
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- Dependency vulnerability scanning
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- OWASP Top 10 validation
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- Security compliance checking
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**Usage:**
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```javascript
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Task("Security scan", "Run comprehensive security checks", "qe-security-scanner")
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```
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**Memory Namespace:**
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- Stores: `aqe/security/findings`
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- Reads: `aqe/test-plan/*`
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---
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## Strategic Planning Agents (3 agents)
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### qe-requirements-validator
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**INVEST criteria validation and BDD generation**
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**Capabilities:**
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- Requirements testability analysis
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- INVEST criteria validation
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- BDD scenario generation (Gherkin)
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- Acceptance criteria validation
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- Requirements ambiguity detection
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**Usage:**
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```javascript
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Task("Validate requirements", "Check testability and generate BDD scenarios", "qe-requirements-validator")
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```
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**Memory Namespace:**
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- Stores: `aqe/requirements/validated`
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- Reads: `aqe/test-plan/*`
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---
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### qe-production-intelligence
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**Production data to test scenarios conversion**
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**Capabilities:**
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- Production incident replay
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- RUM (Real User Monitoring) analysis
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- Log-based test generation
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- Production pattern extraction
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- Edge case discovery from production
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**Usage:**
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```javascript
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Task("Production intelligence", "Convert production incidents to test scenarios", "qe-production-intelligence")
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```
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**Memory Namespace:**
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- Stores: `aqe/production/insights`
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- Reads: Production logs, incident data
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---
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### qe-fleet-commander
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**Hierarchical fleet coordination (50+ agents)**
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**Capabilities:**
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- Multi-agent orchestration
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- Resource allocation
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- Task decomposition and distribution
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- Agent performance monitoring
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- Coordination topology optimization
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**Usage:**
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```javascript
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Task("Fleet coordination", "Orchestrate 20 agents for comprehensive testing", "qe-fleet-commander")
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```
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**Memory Namespace:**
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- Stores: `aqe/swarm/coordination`
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- Reads: All `aqe/*` namespaces
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---
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## Deployment Agent (1 agent)
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### qe-deployment-readiness
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**Multi-factor risk assessment for deployments**
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**Capabilities:**
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- Deployment risk scoring
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- Rollback plan validation
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- Production readiness checklist
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- Release notes generation
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- Deployment window optimization
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**Usage:**
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```javascript
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Task("Deployment check", "Assess deployment readiness", "qe-deployment-readiness")
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```
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**Memory Namespace:**
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- Stores: `aqe/deployment/readiness`
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- Reads: `aqe/quality/*`, `aqe/test-results/*`
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---
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## Advanced Testing Agents (4 agents)
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### qe-regression-risk-analyzer
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**Smart test selection with ML patterns**
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**Capabilities:**
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- Change impact analysis
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- Intelligent test selection
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- Regression risk prediction
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- Test prioritization
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- Historical failure pattern analysis
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**Usage:**
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```javascript
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Task("Regression analysis", "Select minimal test suite for code changes", "qe-regression-risk-analyzer")
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```
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**Memory Namespace:**
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- Stores: `aqe/regression/risk-analysis`
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- Reads: `aqe/test-results/*`, learning patterns
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---
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### qe-test-data-architect
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**High-speed realistic data generation (10k+ records/sec)**
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**Capabilities:**
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- Schema-aware data generation
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- Relationship preservation
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- Edge case coverage
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- GDPR-compliant data masking
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- High-performance generation (10k+ records/sec)
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**Usage:**
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```javascript
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Task("Generate test data", "Create 10k realistic user records", "qe-test-data-architect")
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```
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**Memory Namespace:**
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- Stores: `aqe/test-data/generated`
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- Reads: Database schemas
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---
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### qe-api-contract-validator
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**Breaking change detection across API versions**
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**Capabilities:**
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- API contract validation
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- Breaking change detection
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- Backward compatibility verification
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- OpenAPI/Swagger validation
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- Consumer-driven contract testing
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**Usage:**
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```javascript
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Task("Validate API contracts", "Check for breaking changes", "qe-api-contract-validator")
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```
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**Memory Namespace:**
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- Stores: `aqe/api/contract-validation`
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- Reads: API specifications
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---
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### qe-flaky-test-hunter
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**Statistical flakiness detection and auto-stabilization**
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**Capabilities:**
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- Flaky test detection with ML
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- Root cause analysis
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- Auto-stabilization strategies
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- Statistical significance testing
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- Retry policy optimization
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**Usage:**
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```javascript
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Task("Hunt flaky tests", "Detect and stabilize flaky tests", "qe-flaky-test-hunter")
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```
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**Memory Namespace:**
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- Stores: `aqe/flaky-tests/detected`
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- Reads: `aqe/test-results/*`, historical test data
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---
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## Specialized Agents (2 agents)
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### qe-visual-tester
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**Visual regression with AI-powered comparison**
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**Capabilities:**
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- Screenshot-based visual testing
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- AI-powered image comparison
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- Layout shift detection
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- Accessibility visual validation
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- Cross-browser visual testing
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**Usage:**
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```javascript
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Task("Visual testing", "Run visual regression tests", "qe-visual-tester")
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```
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**Memory Namespace:**
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- Stores: `aqe/visual/results`
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- Reads: `aqe/test-plan/*`
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---
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### qe-chaos-engineer
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**Resilience testing with controlled fault injection**
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**Capabilities:**
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- Controlled fault injection
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- Resilience testing
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- Blast radius management
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- Recovery validation
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- System stability verification
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**Usage:**
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```javascript
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Task("Chaos testing", "Test system resilience with controlled failures", "qe-chaos-engineer")
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```
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**Memory Namespace:**
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- Stores: `aqe/chaos/results`
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- Reads: `aqe/test-plan/*`
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---
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## MCP Tool Discovery System
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The Agentic QE Fleet uses **lazy-loaded MCP tools** to reduce initial context by 87%.
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### Tool Discovery
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```javascript
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// Discover available tool domains
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mcp__agentic_qe__tools_discover()
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// Returns: security, coverage, test-generation, test-execution, quality-gates,
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// fleet-management, memory, learning, patterns, reporting
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// Load specific domain tools
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mcp__agentic_qe__tools_load_domain({ domain: "security" })
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mcp__agentic_qe__tools_load_domain({ domain: "coverage" })
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```
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### Automatic Loading
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Tools are **auto-loaded based on keywords** when agents work:
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- "security", "vulnerability" → loads security tools
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- "coverage", "gaps" → loads coverage tools
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- "generate", "create tests" → loads test-generation tools
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- "execute", "run tests" → loads test-execution tools
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### Benefits
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- **87% context reduction** (from 15,000 to 2,000 tokens initially)
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- **Faster agent spawning** with minimal overhead
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- **On-demand loading** only when tools are needed
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---
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## Agent Coordination
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All agents coordinate through the **`aqe/*` memory namespace**:
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- `aqe/test-plan/*` - Test planning and requirements
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- `aqe/coverage/*` - Coverage analysis and gaps
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- `aqe/quality/*` - Quality metrics and gates
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- `aqe/performance/*` - Performance test results
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- `aqe/security/*` - Security scan findings
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- `aqe/swarm/coordination` - Cross-agent coordination
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## Parallel Agent Execution
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Execute multiple agents concurrently for maximum efficiency:
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```javascript
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// Execute multiple agents in parallel
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Task("Test Generation", "Generate unit tests", "qe-test-generator")
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Task("Coverage Analysis", "Analyze current coverage", "qe-coverage-analyzer")
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Task("Security Scan", "Run security checks", "qe-security-scanner")
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Task("Performance Test", "Load test critical paths", "qe-performance-tester")
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```
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---
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**Related Documentation:**
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- [Skills Reference](skills.md) - All 34 QE skills
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- [Usage Guide](usage.md) - Complete usage examples
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- [AQE Hooks](../architecture/AQE-HOOKS.md) - Agent coordination details
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**Related Policies:**
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- [Release Verification Policy](../policies/release-verification.md)
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- [Test Execution Policy](../policies/test-execution.md)
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