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Found 118 Skills
Core Concepts and Configuration Reference for Testany Platform
Orchestrate quality engineering across CI/CD pipeline phases. Use when designing test strategies, planning quality gates, or implementing shift-left/shift-right testing.
Run a strict clean-code review with a numeric score and pass/fail gate. Use when a user asks for a code review, wants Uncle Bob-style feedback, or wants unnecessary abstractions removed with SOLID/KISS discipline.
Code quality and deviation gate between /implement and /test. Reads the task document and changed files, validates coding standards, classifies deviations (minor/medium/major), and decides whether implementation is ready for testing. Runs automatically in the auto-chain between implement and test. Also invoke manually after any implementation to catch issues before wasting a test run.
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.
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.
Review a PR linked to a kspec task, post findings as inline comments, and merge only when all quality gates pass. You NEVER fix code — you review and comment. If issues found, kick back to worker.
Use after planning completes and before any implementation begins. Verifies that the current phase contract, story map, and bead graph are structurally sound, execution-ready, and aligned with locked decisions. Use for prompts like "validate the plan", "is this ready to build?", "check the bead graph", "verify execution readiness", or whenever there is doubt about whether the current phase is safe to execute.
Audit an Infrahub repository against all best practices and rules. Use when reviewing a project for compliance, onboarding to an existing repo, or before deployment to catch issues early.
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.
BAZDMEG Method workflow checkpoint system for AI-assisted development. Enforce quality gates at three phases: pre-code, post-code, and pre-PR. Use when: (1) starting a new feature or bug fix, (2) finishing AI-generated code before review, (3) preparing a pull request, (4) running a planning interview, (5) auditing automation readiness, (6) preventing AI slop, (7) session bootstrap, (8) source rank, (9) domain gates, (10) bugbook. Triggers: 'bazdmeg', 'pre-code checklist', 'post-code checklist', 'pre-PR checklist', 'planning interview', 'quality gates', 'session bootstrap', 'source rank', 'domain gates', 'bugbook'.
Final code review and quality gate — run tests, check coverage, audit security, verify acceptance criteria from spec, and generate ship-ready report. Use when user says "review code", "quality check", "is it ready to ship", "final review", or after /deploy completes. Do NOT use for planning (use /plan) or building (use /build).