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Found 54 Skills
Integrate automated testing into CI/CD pipelines for continuous quality feedback. Use for continuous testing, CI testing, automated testing pipelines, test orchestration, and DevOps quality practices.
Set up and run Ralph Wiggum loop - autonomous AI coding with clean slate iterations, PRD-driven features, and CI quality gates. Use for long-running autonomous coding tasks.
Risk-based quality engineering test strategy for software delivery. Use when defining or updating test strategy, selecting unit/integration/contract/E2E/performance/security coverage, setting CI quality gates and suite budgets, managing flaky tests and test data, and operationalizing observability-first debugging and release criteria.
Create an AI Evals Pack (eval PRD, test set, rubric, judge plan, results + iteration loop). Use for LLM evaluation, benchmarks, rubrics, error analysis/open coding, and ship/no-ship quality gates for AI features.
Development workflow and quality gates for the Bun + TypeScript stack. **ALWAYS use before commits** to ensure quality gates are met. Also use when starting development or when user asks about workflow process. Examples - "before commit", "quality gates", "workflow checklist", "bun commands", "pre-commit checks".
Coordinate multiple specialized Skills and Task Agents through parallel, sequential, swarm, hybrid, or iterative execution strategies. Use when orchestrating multi-worker workflows, managing dependencies, or optimizing complex task execution with quality gates.
Quality assurance expert for testing strategies and quality gates. Use when planning test coverage, setting up QA processes, or improving quality standards.
Core engineering principles for sustainable, maintainable code. No shortcuts, no hacks. Quality gates before completion.
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.
Comprehensive testing and validation strategies for spec-driven development. Learn phase-specific validation techniques, quality gates, and testing approaches to ensure high-quality implementation.
Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.
Refine, parallelize, and verify a draft task specification into a fully planned implementation-ready task