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Found 66 Skills
Agent skill for production-validator - invoke with $agent-production-validator
Activate a brutally honest, skeptical architectural partner that stress-tests ideas, architectures, and assumptions. Use when the user says "reality check", wants their design challenged, asks if their idea is sound, wants a devil's advocate review, or wants architectural critique without hand-holding.
Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection, quality-focused prompting, and meta-judge → LLM-as-a-judge verification
自动生成全面的测试套件，包括单元测试、集成测试和E2E测试，支持Jest、Vitest、pytest、xUnit等。
A professional tool for generating customized checklists for current features based on user requirements. Specifically designed for requirement quality validation, it creates "English-style unit tests" to verify the completeness, clarity, and consistency of requirements. Trigger words: speckit-checklist, checklist, requirements validation, quality check, quality review, spec review
Conducts comprehensive requirements review including completeness validation, clarity assessment, consistency checking, testability evaluation, and standards compliance. Produces detailed review reports with findings, gaps, conflicts, and improvement recommendations. Use when reviewing requirements documents (BRD, SRS, user stories), validating acceptance criteria, assessing requirements quality, identifying gaps and conflicts, or ensuring standards compliance (IEEE 830, INVEST criteria). Trigger when users mention "review requirements", "validate requirements", "check requirements quality", "find requirement issues", or "assess BRD/SRS quality".
James Bach's HTSM Product Factors (SFDIPOT) analysis for comprehensive test strategy generation. Use when analyzing requirements, epics, or user stories to generate prioritized test ideas across Structure, Function, Data, Interfaces, Platform, Operations, and Time dimensions.
Validate whether an implementation matches its stated goal. Use this skill when a skill or agent wants a second opinion on its own output, when the user says "check this implementation", "validate what you did", "is this correct?", "review the output", or "did you do this right?". Also spawned automatically as a subagent by other skills (memory-bridge, daily-update) to self-check their outputs before presenting to the user. Returns a structured pass/warn/fail verdict with specific actionable issues.
Run verification commands and confirm output before claiming success. Use when about to claim work is complete, fixed, or passing, before committing or creating PRs.
Master plugin testing, quality assurance, and validation. Learn unit testing, integration testing, and how to ensure plugin quality.
Implement a task with automated LLM-as-Judge verification for critical steps
Test Planning and Quality Assurance prompt that generates comprehensive test strategies, task breakdowns, and quality validation plans for GitHub projects.