Analyze mock data and examples for cultural assumptions, understanding what they communicate about who the product is for. Use when reviewing test data, documentation, or seed data.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Analyze mock data and examples for cultural assumptions, understanding what they communicate about who the product is for. Use when reviewing test data, documentation, or seed data.
Use to systematically validate documents, stories, or processes against defined checklists. Ensures quality and completeness.
Workflow for executing a project phase
The ONLY way to interact with existing projects. Load when user references ANY project by name, ID, or number. Includes: continue, resume, status, progress, check, review, work on [existing project]. NEVER read project files directly.
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AI開発のベストプラクティスを体系化した10ステップの自動化ワークフローを実行します。
Verification, drift detection, and snapshot logic for executing-plans
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Framework for packaging competitive updates into executive-ready narratives
Template pack for executive business reviews with outcomes, risks, and
Template pack for summarizing BI insights for ELT/board stakeholders.
Create formal executive summaries from GitHub conversations or meeting transcripts. Use when generating leadership-ready summaries that distill key decisions, alternatives, outcomes, and next steps from complex conversations or meetings. Supports GitHub issues/PRs and transcript URIs (Zoom, Teams, etc.). Outputs are saved to Executive Summaries/ with date-organized structure.
Identify upsell/cross-sell opportunities
Use when planning adoption-to-expansion motions and cross-sell/upsell
Analyze GRPO training runs for learning dynamics and pipeline performance. Use when diagnosing training issues, reviewing Elo progression, checking throughput, or updating experiment results.
Prepare an experiment brief outlining hypothesis, design, success metrics, and operational plan.
Recommends using Hydra or YAML for experiment configuration to ensure clarity and reproducibility.
Interactive code review through conversation. HOUSTON guides review, spawns specialized agents, and helps create Beads for issues found.
Comprehensive audit of Expo/React Native app API integration layer. Use when asked to: (1) Review API interactions, auth handling, or token management, (2) Find hardcoded data or screens bypassing API, (3) Verify user interactions properly sync to backend, (4) Analyze offline behavior and caching, (5) Audit Orval/OpenAPI code generation, (6) Check for API security issues. Supports TanStack Query, Zustand, axios, Expo Router, expo-secure-store, and expo-constants patterns.
Expo Framework-specific guidelines. Includes best practices for Views, Blueprints, and Extensions.
Specifies best practices and conventions for Expo-based mobile app development.
Expert in calculating critical path project timelines using PERT/CPM methodology with statutory deadline integration for expropriation projects. Use when managing complex project schedules, tracking OEA statutory deadlines (3-month registration, Form 2/7 service), identifying timeline risks, or optimizing resource allocation. Key terms include critical path, PERT analysis, CPM scheduling, statutory deadlines, float analysis, resource leveling
Review and track progress against official 3D Slicer Extension Index requirements
Extract a single page from a PDF as a PNG image for quick preview.
Applies Fabric AI prompt patterns for summarization, analysis, extraction, code review, and content creation. Use when asked to summarize content, analyze documents, extract insights, review code, create documentation, or transform text. Patterns are in data/patterns/.
Face alignment, landmark extraction, and quality gating. Use when debugging alignment issues, reviewing rejected faces, or tuning quality thresholds.
Code quality specialist: architecture patterns, refactoring, code review, development practices. 23 methodologies.
DevTools orchestrator: code quality and automation.
SDD execution: quality gates, reflexion learning, pattern/mistake memory, code review.
Comprehensive code review skill for FastAPI projects. Analyzes codebase against industry best practices covering async patterns, project structure, Pydantic usage, dependency injection, database patterns, testing, and performance. Generates detailed refactor plans with prioritized recommendations. Use when reviewing FastAPI projects, auditing code quality, planning refactors, or ensuring adherence to FastAPI/async best practices.
fastapi-reviewer
React feature-based architecture guidelines for scalable applications (formerly feature-architecture). This skill should be used when writing, reviewing, or refactoring React code to ensure proper feature organization. Triggers on tasks involving project structure, feature organization, module boundaries, cross-feature imports, data fetching patterns, or component composition.
Orchestrate end-to-end feature development from requirements through implementation, testing, and review. Use when: (1) planning feature development stages, (2) coordinating multi-agent feature workflows, (3) understanding SDLC phases for new features.
Implement feature access checks using Flowglad to gate premium features, create paywalls, and restrict functionality based on subscription status. Use this skill when adding paid-only features or checking user entitlements.
Systematic approach to implementing new features in Rust memory systems
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Reviews feature specifications for completeness, testability, and implementation readiness. Validates acceptance criteria, edge cases, and technical constraints. Use when reviewing feature specs before implementation or during sprint planning.
System diagnosis skill (READ-ONLY). Verifies feature behavior through code analysis, data validation, and Codex deep confirmation. All operations are strictly read-only - NO data modification allowed.
End-to-end feature development orchestration from planning through deployment with quality gates
Give effective feedback that promotes learning and growth. Covers written feedback on student work, rubric design, peer review facilitation, and constructive critique techniques. Triggers on grading, feedback, rubrics, peer review, or critique requests.
Fetch PR diff with filtering and line numbers for code review.
Fetch unresolved PR review comments and feedback on the current branch. Use when you need to address outstanding PR review items or see what feedback needs to be resolved. Optionally filter by a specific reviewer.
MUST use this skill when user asks to check/review PR comments, address reviewer feedback, fix review issues, or respond to code review. Fetches unresolved review comments from GitHub PR for the current branch.
Fetch an RFC from Notion given a URL. Use when user wants to view, review, or work with an existing RFC document. Accepts Notion page URLs or page IDs.
Fetch unresolved PR review comments using GitHub GraphQL API, filtering out resolved and outdated feedback.
Fetches and processes GitHub pull requests waiting for review. Returns fully formatted markdown with PRs grouped by category (Feature/Bug, Chores, Dependency Updates) and sorted by age. Includes metadata like CI status, review status, size metrics, and viewing history. Use when user wants to see their PR review queue.
Sync and integrate Fever Partners API for plans, reviews, attendees, and venues. Use when implementing Fever data sync, debugging API issues, or building review/analytics features.
Review code changes for FFP project standards including multi-tenant security, British English, architecture patterns, and SOLID principles. Use when reviewing PRs, checking branch changes, or auditing code quality.
Applies best practices for logging, project structure, and environment variable usage specifically to the main application file.