1.3万 件 ・ 関連度順
Challenge and specification of tickets/user stories. Use to define a feature, write acceptance criteria, scope a ticket, score with RICE. Produces INVEST specs with DSL in /docs/specs/. Subcommands: rice, ticket.
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Follow-up review to verify corrections on a MR. Sequential execution to avoid memory spikes. Checks blocking issues, detects new problems, and posts a concise report on GitLab.
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Complete code review of a fullstack MR/PR with 8 sequential audits (Clean Architecture, DDD, React Best Practices, SOLID, Testing, Code Quality, Security, Performance). The audit set is the deduplicated union of review-front and review-back — no audit runs twice. An orchestrator runs each audit one by one to avoid memory spikes. Generates an .md report and posts it directly on the MR/PR. Direct mode with sourced lessons.
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Guide for large-scale refactorings with Mikado and Strangler Fig. Use for architecture migration, library replacement, module splitting, or pattern changes. Maintains a Mikado graph to track dependencies.
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Autonomous feature implementation via spec-driven development. Orchestrates a planner and a TDD implementer with preloaded skills. Consumes Gherkin specs produced by /product-manager.
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Guide for Playwright end-to-end tests. Use to create a new e2e test, debug a flaky test, or test API endpoints. Covers patterns, workarounds, and project conventions.
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Local auto-review of modified code (no GitLab/GitHub). Runs 5 sequential audits and generates a local report. Ideal for validating code before creating a MR/PR.
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Code scan to detect secrets before commit. Use before git add/commit/push or on demand. Checks for tokens, API keys, credentials, and other sensitive data.
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Clean Code (Robert C. Martin) guide to produce and challenge code that is readable, durable, simple, and consistent. Covers naming, functions, comments, smells, and refactor heuristics. Complements `/solid` (SOLID principles) and `/anti-overengineering` (YAGNI/KISS). Activate during the REFACTOR phase of the TDD cycle and during implementation self-review.
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Create a new documentation file following project standards. Detects overlap with existing docs before creating.
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Clean Architecture (Uncle Bob) guide for this project. Use when creating modules, entities, use cases, presenters, controllers, gateways, guards, services. Contains tactical patterns and structure conventions.
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Complete code review of a MR/PR with 7 sequential audits (Clean Architecture, DDD, TypeScript Best Practices, SOLID, Clean Code, Testing, Code Quality). An orchestrator runs each audit one by one to avoid memory spikes. Generates an .md report and posts it directly on the MR/PR. Direct mode with sourced lessons.
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Event Storming Big Picture on a bounded context or the whole project. Explores code to discover domain events, commands, entities, context boundaries, and produces structured markdown following Vaughn Vernon's strategic patterns. Usage: /event-storming <bc-name> or /event-storming global
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Shared conventions for every SDLC development-phase architect agent: hard rules, code quality bar, workflow steps (superpowers invocation, spec reading, codebase exploration, verification), and the report/compact-summary contract. Architects load this skill first, then apply their stack-specific instructions on top.
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Testing React Native: Jest with jest-expo / react-native preset, React Testing Library Native, native module mocking, hook testing. Optional sections for Detox (native automation) and Maestro (declarative YAML e2e). Use this skill to: - Configure Jest preset based on workflow. - Write component tests with @testing-library/react-native. - Mock native modules (react-native-reanimated, expo-*, react-native-mmkv). - Test custom hooks via renderHook. - Set up Detox or Maestro for e2e (optional, requires native toolchain). Do NOT use this skill for: - General RN conventions (see rn-conventions). - Web-React testing (see react-plugin:react-testing — different jsdom setup). - Plain Node testing patterns (see nodejs-plugin equivalents).
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Design, structure, or improve form interfaces for clarity, completion rates, and user confidence. Use when the user asks to build a form, redesign a form flow, improve form conversion, add multi-step forms, fix form UX, or structure field layouts and validation.
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Create distinctive, production-grade frontend interfaces with strong hierarchy, thoughtful systems, and polished implementation that avoid generic AI aesthetics. Use when the user wants to build or redesign web pages, flows, components, or full app surfaces, or when another better-web-ui skill needs shared project design context before other better-web-ui skills.
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Process external specifications through transformation, classification, gap analysis, component discovery, and decomposition. Creates workflow items with classified context.
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Scaffolds CI/CD pipeline definitions using GitHub Actions for build, test, lint, and deploy workflows.
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Standards for CI/CD pipelines using GitHub Actions workflows.
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Build a mental and visual map of the target application before hunting — entry points, trust boundaries, data flows, and high-value functionality. Use when user has scope parsed and wants to plan WHERE to hunt rather than diving into recon.
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Hunt OAuth 2.0 and OIDC flaws — redirect_uri abuse, state CSRF, PKCE bypass, scope manipulation, implicit-flow token theft, postMessage origin tricks, ID token sub claim swap, JWKS confusion, response_type confusion, and OAuth-CSRF. Use when an app has Google/GitHub/Facebook/Apple/custom OAuth or OpenID Connect.
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Hunt SQL injection in REST/GraphQL/SOAP/raw parameters using sqlmap, ghauri, manual UNION/Time/Boolean techniques, and custom WAF-bypass tamper scripts. Use when an input flows into a database query or when the user has identified a parameter that might be vulnerable.
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Use when EZ_math_model runs in multi or hybrid mode and has two or more independent subtasks that can be assigned to subagents without shared files, shared state, or dataflow dependencies.
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