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Found 9 Skills
Ask the user questions about the plan to prevent mistakes.
Systematically review AI agent work for quality, accuracy, and completeness. Catches bugs, verifies patterns, checks against requirements, and suggests improvements before committing changes.
Transform vague intent or incomplete requirements into validated, testable requirements through diagnostic state progression and structured dialogue. Use when user has an idea, feature request, problem statement, or existing requirements document that needs clarification or validation before design or implementation.
Generate a custom checklist for the current feature based on user requirements.
Use when user asks to "validate delivery", "check readiness", or "verify completion". Runs tests, build, and requirement checks with pass/fail instructions.
Analyze and refine product requirements. Use when clarifying scope, identifying gaps, or validating requirements. Covers requirement types and analysis techniques.
Specification quality checker for spec-generator documents. Validates requirement.md, design.md, tasks.md for consistency, completeness, and quality. Detects requirement ID mismatches, missing sections, contradictions, and ambiguous expressions. English triggers: "inspect specs", "check specification quality", "validate requirements" 日本語トリガー: 「仕様書を検査」「品質チェック」「仕様を検証」「spec-inspect実行」
Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definition Trigger terms: requirements, EARS format, user stories, functional requirements, non-functional requirements, SRS, requirement analysis, specification, acceptance criteria, requirement validation Use when: User requests involve requirements analyst tasks.
Proactive requirements gathering - systematically interviews the user to uncover ambiguities, preferences, and constraints BEFORE implementation begins.