@dzhechkov/skills-qe

Curated quality engineering skill pack — 22 skills for Claude Code agents: 20 from agentic-qe + 2 vendor-neutral engineering-discipline skills (validate, systematic-debugging, from obra/superpowers).

Install

# Via dz CLI (recommended):
dz init --target claude-code --preset qe-engineer

# Or with self-learning:
dz setup --target claude-code --preset qe-engineer

# Or directly:
dz install @dzhechkov/skills-qe

Skills (22)

| Skill | What it does | Upstream Agent | |-------|-------------|---------------| | validate | Verification-before-completion gate (no "done" without fresh evidence) | — (obra/superpowers) | | systematic-debugging | Root-cause-first debugging discipline (four phases) | — (obra/superpowers) | | qe-browser | Browser automation via Vibium (WebDriver BiDi) | — (tool) | | qe-chaos-resilience | Controlled fault injection, resilience testing | qe-chaos-engineer | | qe-code-intelligence | Semantic code indexes, dependency graphs | qe-code-intelligence | | qe-coverage-analysis | O(log n) coverage with risk-weighted gaps | qe-coverage-specialist | | qe-defect-intelligence | ML defect prediction from code metrics | qe-defect-predictor | | qe-iterative-loop | Autonomous red-green-refactor loops | — (loop) | | qe-learning-optimization | Transfer learning, hyperparameter tuning | qe-metrics-optimizer | | qe-quality-assessment | Quality gate evaluation, pass/fail verdicts | qe-quality-gate | | qe-requirements-validation | Acceptance criteria, BDD scenarios | qe-requirements-validator | | qe-test-execution | Parallel sharding, intelligent retry | qe-parallel-executor | | qe-test-generation | AI test generation, multi-framework | qe-test-architect | | qe-visual-accessibility | Visual regression + axe-core a11y | qe-visual-tester | | brutal-honesty-review | Unvarnished technical criticism, BS-detection | — (review) | | six-thinking-hats | De Bono six-hat test strategy analysis | — (analysis) | | sfdipot-product-factors | HTSM SFDIPOT product factors test ideas | qe-product-factors-assessor | | qcsd-ideation-swarm | Quality Criteria sessions (HTSM, Risk Storming) | — (swarm) | | qcsd-refinement-swarm | Sprint refinement, BDD, requirements validation | — (swarm) | | qcsd-development-swarm | In-sprint code quality, TDD, coverage gaps | — (swarm) | | qcsd-cicd-swarm | CI/CD quality gates, regression, flaky detection | — (swarm) | | qcsd-production-swarm | Post-release health, DORA, root cause analysis | — (swarm) |

Upstream: agentic-qe

This is a curated subset of agentic-qe (v3.10.3).

# Lightweight (this package — 22 curated skills):
dz init --target claude-code --preset qe-engineer

# Full power (94 skills + 55 agents + MCP server + memory):
npm install -g agentic-qe && aqe init --auto

Sync with upstream

# Check if upstream has changes:
dz sync-upstream --package packages/@dzhechkov/skills-qe

# Check all packages:
dz sync-upstream --all

The sources.json maps each skill to its upstream agent in agentic-qe, enabling dz sync-upstream to detect drift.

Related

• agentic-qe — Full QE platform (94 skills, 55 agents, MCP)
• @dzhechkov/harness-cli — The dz CLI
• agentskills.io — Skill standard

License

MIT

How to use

Skills auto-activate — your agent loads a skill when your task matches its trigger phrases (defined in each skill's SKILL.md frontmatter). For example:

• "Generate tests for this module" → qe-test-generation
• "Give this code a brutal-honesty review" → brutal-honesty-review
• "Assess test coverage gaps" → qe-coverage-analysis

To see a skill's exact triggers and assets: dz info <skill-id>. To find one: dz registry search <term>.