QE Learning Optimization
Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.
Profile →npx skills add majiayu000/claude-skill-registry --skill qe-learning-optimization-proffesor-for-testin-agentic-qe-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# QE Learning Optimization ## Purpose Guide the use of v3's learning optimization capabilities including transfer learning between agents, hyperparameter tuning, A/B testing, and continuous performance improvement. ## Activation - When optimizing agent performance - When transferring knowledge between agents - When tuning learning parameters - When running A/B tests - When analyzing learning metrics ## Quick Start ```bash # Transfer knowledge between agents aqe learn transfer --from jest-generator --to vitest-generator # Tune hyperparameters aqe learn tune --agent defect-predictor --metric accuracy # Run A/B test aqe learn ab-test --hypothesis "new-algorithm" --duration 7d # View learning metrics aqe learn metrics --agent test-generator --period 30d ``` ## Agent Workflow ```typescript // Transfer learning Task("Transfer test patterns", ` Transfer learned patterns from Jest test generator to Vitest: - Map framework-specific syntax - Adapt assertion styles - Preserve test structure patterns - Validate transfer accuracy `, "qe-transfer-specialist") // Metrics optimization Task("Optimize prediction accuracy", ` Tune defect-predictor agent: - Analyze current performance metrics - Run Ba
- Purpose
- Activation
- Quick Start
- Agent Workflow
- Learning Operations
- 1. Transfer Learning
- 2. Hyperparameter Tuning
- 3. A/B Testing
- 4. Feedback Loop
- Learning Metrics Dashboard
- Cross-Framework Transfer
- Continuous Improvement
- Pattern Learning
- Coordination
Transfer knowledge between agents aqe learn transfer --from jest-generator --to vitest-generator Tune hyperparameters aqe learn tune --agent defect-predictor --metric accuracy Run A/B test aqe learn ab-test --hypothesis "new-algorithm" --duration 7d View learning metrics aqe learn metrics --agent test-generator --period 30d
What does the QE Learning Optimization skill do?
Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill qe-learning-optimization-proffesor-for-testin-agentic-qe-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.