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Root-cause-first debugging discipline (four phases) | — (obra/superpowers) |\n| `qe-browser` | Browser automation via Vibium (WebDriver BiDi) | — (tool) |\n| `qe-chaos-resilience` | Controlled fault injection, resilience testing | qe-chaos-engineer |\n| `qe-code-intelligence` | Semantic code indexes, dependency graphs | qe-code-intelligence |\n| `qe-coverage-analysis` | O(log n) coverage with risk-weighted gaps | qe-coverage-specialist |\n| `qe-defect-intelligence` | ML defect prediction from code metrics | qe-defect-predictor |\n| `qe-iterative-loop` | Autonomous red-green-refactor loops | — (loop) |\n| `qe-learning-optimization` | Transfer learning, hyperparameter tuning | qe-metrics-optimizer |\n| `qe-quality-assessment` | Quality gate evaluation, pass/fail verdicts | qe-quality-gate |\n| `qe-requirements-validation` | Acceptance criteria, BDD scenarios | qe-requirements-validator |\n| `qe-test-execution` | Parallel sharding, intelligent retry | qe-parallel-executor |\n| `qe-test-generation` | AI test generation, multi-framework | qe-test-architect |\n| `qe-visual-accessibility` | Visual regression + axe-core a11y | qe-visual-tester |\n| `brutal-honesty-review` | Unvarnished technical criticism, BS-detection | — (review) |\n| `six-thinking-hats` | De Bono six-hat test strategy analysis | — (analysis) |\n| `sfdipot-product-factors` | HTSM SFDIPOT product factors test ideas | qe-product-factors-assessor |\n| `qcsd-ideation-swarm` | Quality Criteria sessions (HTSM, Risk Storming) | — (swarm) |\n| `qcsd-refinement-swarm` | Sprint refinement, BDD, requirements validation | — (swarm) |\n| `qcsd-development-swarm` | In-sprint code quality, TDD, coverage gaps | — (swarm) |\n| `qcsd-cicd-swarm` | CI/CD quality gates, regression, flaky detection | — (swarm) |\n| `qcsd-production-swarm` | Post-release health, DORA, root cause analysis | — (swarm) |\n\n## Upstream: agentic-qe\n\nThis is a **curated subset** of [agentic-qe](https://github.com/proffesor-for-testing/agentic-qe) (v3.10.3).\n\n```bash\n# Lightweight (this package — 22 curated skills):\ndz init --target claude-code --preset qe-engineer\n\n# Full power (94 skills + 55 agents + MCP server + memory):\nnpm install -g agentic-qe && aqe init --auto\n```\n\n### Sync with upstream\n\n```bash\n# Check if upstream has changes:\ndz sync-upstream --package packages/@dzhechkov/skills-qe\n\n# Check all packages:\ndz sync-upstream --all\n```\n\nThe `sources.json` maps each skill to its upstream agent in agentic-qe, enabling `dz sync-upstream` to detect drift.\n\n## Related\n\n- [agentic-qe](https://github.com/proffesor-for-testing/agentic-qe) — Full QE platform (94 skills, 55 agents, MCP)\n- [@dzhechkov/harness-cli](https://www.npmjs.com/package/@dzhechkov/harness-cli) — The `dz` CLI\n- [agentskills.io](https://agentskills.io) — Skill standard\n\n## License\n\nMIT\n\n## How to use\n\nSkills **auto-activate** — your agent loads a skill when your task matches its trigger phrases (defined in each skill's `SKILL.md` frontmatter). For example:\n\n- \"Generate tests for this module\" → `qe-test-generation`\n- \"Give this code a brutal-honesty review\" → `brutal-honesty-review`\n- \"Assess test coverage gaps\" → `qe-coverage-analysis`\n\nTo see a skill's exact triggers and assets: `dz info <skill-id>`. To find one: `dz registry search <term>`.\n","readmeFilename":"README.md"}