Generate API mocks and stub servers from OpenAPI specs or code analysis
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 →Generate API mocks and stub servers from OpenAPI specs or code analysis
Systematic methodology for debugging pagination issues in API integrations, especially when switching between API versions or endpoints. Auto-activates when pagination stops early, returns duplicate results, or fails to iterate through complete datasets. Covers cursor-based vs page-based pagination, API response structure verification, and efficiency optimization. Trigger keywords: pagination bug, API not paginating, stuck at one page, cursor pagination, nextPageCursor, page-based pagination. (project)
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Create complete REST API CRUD operations using API Platform 4 with DDD and CQRS patterns. Use when adding new API resources, implementing CRUD endpoints, creating DTOs, configuring operations, or setting up state processors. Follows the repository's hexagonal architecture with YAML resource configuration and command bus pattern.
Generate realistic mock API responses with fake data. Use for testing, prototyping, or creating sample data for frontend development.
API response wrapper patterns for consistent, predictable REST APIs in ABP Framework. Use when: (1) designing uniform API response contracts, (2) implementing success/error response wrappers, (3) handling pagination and metadata, (4) standardizing error responses.
api-review
You are an expert in Next.js API route conventions for this platform. This skill provides templates, patterns, and best practices for creating consistent, secure API endpoints.
This project uses Next.js 16 App Router with a consistent API pattern across all routes.
Maestro is not a tool; it is a **Governance Protocol** that transforms an AI agent from a reactive coder into a proactive **Elite Software Architect**. It enforces discipline, maintains project contin
Analyzes API documentation from OpenAPI specs to provide TypeScript interfaces, request/response formats, and implementation guidance. Use when implementing API integrations, debugging API errors (400, 401, 404), replacing mock APIs, verifying data types, or when user mentions endpoints, API calls, or backend integration.
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Strategies for designing comprehensive API tests including contract testing, integration testing, and performance testing
Auto-generate comprehensive API tests for REST and GraphQL endpoints with request/response validation
Test API endpoints with automated test generation
Quick API endpoint testing with comprehensive request/response validation.
You are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.
Test FastAPI endpoints with pytest and generate API documentation. Use when creating new APIs or verifying existing endpoints work correctly.
Three-tier API architecture for web (real-time) and mobile (battery-optimized) platforms.
API testing, documentation, and development tools
Generates TypeScript interfaces from API responses or OpenAPI schemas. Use when the user asks about typing API responses, creating interfaces from JSON, parsing Swagger/OpenAPI, or keeping types in sync with backend.
Apidog API development platform documentation - API design, testing, mocking, and documentation
Build Apify Actors (web scrapers) using Node.js and Crawlee. Use when creating new scrapers, defining input schemas, configuring Dockerfiles, or deploying to Apify. Triggers include apify, actor, scraper, crawlee, web scraping, data extraction.
Use when implementing Apollo caching strategies including cache policies, optimistic UI, cache updates, and normalization.
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Enforce Design-It-Twice workflow: generate 2-3 radically different approaches, compare them, then implement. Use when designing modules, APIs, or classes before implementation. Triggers on: design, create class, add module, implement feature, new service, API design, before implementing. Produces structured design document with approaches, comparison table, choice rationale, and depth check.
Enforce comments-first workflow for new code and improve naming/documentation for existing code. Use when writing new classes, methods, or functions; when code is 'confusing' or 'hard to understand'; when naming precision is poor; or when variable documentation lacks units, bounds, or ownership. Triggers on: new code, comments-first, naming review, documentation review, not obvious, hard to understand. Produces well-documented code with precise naming, or identifies design problems when comments/names are hard to write.
Enforce strategic programming discipline when modifying existing code. Guide through STOP-ASK-DECIDE-VERIFY workflow with urgency tier assessment (trivial/minor/standard/emergency). Include when NOT to refactor (Chesterton's Fence, performance-critical, no tests) and block tactical shortcuts via anti-rationalization tables. Use when fixing bugs, extending features, or tempted to make quick fixes. Triggers on: modify code, fix bug, extend feature, quick fix, tactical change.
Optimize performance through mandatory measure-first workflow with 3 stages: MEASURE (gate) -> FUNDAMENTAL FIX -> CRITICAL PATH REDESIGN. Use when code is too slow, laggy, hangs, doesn't scale, has timeouts, OOM errors, or high CPU/memory. Emphasize that simpler code usually runs faster. Triggers on: performance issues, optimization needed, takes forever, profiling. Produces profiling-backed optimization with verified improvement.
Evaluate module design using APOSD principles with 40-item checklist. Detect complexity symptoms (change amplification, cognitive load, unknown unknowns), shallow modules, information leakage, pass-through methods, and structural anti-patterns. Produce categorized design review (Critical/Moderate/Observations/Positive). Use when reviewing code, assessing interfaces, during PR review, or evaluating 'is this too complex?' Triggers on: code review, design review, module complexity, interface assessment, PR review, structural analysis.
Verify code correctness before claiming done or committing. Run 6-dimension checklist: requirements coverage, concurrency safety, error handling, resource management, boundary conditions, and security. Output PASS/FAIL per dimension with final DONE/NOT DONE verdict. Use after implementation as pre-commit gate. Triggers on: is it done, ready to commit, verify correctness, did I miss anything, pre-commit check.
Expert digital data analytics consultant for designing and implementing data-driven growth strategies for mobile and digital applications. Use this skill when users need help with app analytics strategy, metrics selection, analytics framework implementation, cohort analysis, user segmentation, A/B testing, customer journey mapping, retention optimization, or choosing analytics tools. Applies to product managers, growth teams, and developers building data-driven applications across all platforms and industries seeking to optimize user engagement, retention, and revenue through analytics.
Create apps following contract-port architecture with composition roots. Use when creating new apps in apps/, scaffolding CLI tools, setting up dependency injection, or when the user asks about app structure, entrypoints, or platform-agnostic design.
Generate exhaustive user-flow and edge-case test scenarios from an app's codebase, produce scenario .md files, execute tests using connected or newly created MCPs, and produce an app.qa.report.md summarizing failures and suggested fixes.
Customer reporting application crashes, missing exercises, broken features, StackBlitz issues, or other technical problems with the course platform.
Submitting, testing, and releasing mobile apps to app stores including App Store and Google Play submission, beta testing, OTA updates, and release management.
App Intents framework for Siri, Shortcuts, Spotlight, Action Button, and system integration. Use when user asks about Siri, Shortcuts, App Intents, voice commands, Action Button, or system integration.
Review and process app submissions for the Pollinations showcase. Parse issues, validate submissions, create PRs, handle user corrections.
Generate a comprehensive, user-facing changelog from git history since the last tag, then translate commits into clear App Store release notes.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
Master App Store deployment - Submission, TestFlight, CI/CD, release management
app-template
Flutter 앱의 특정 기능을 에뮬레이터에서 직접 테스트하고, 실패 시 자동으로 수정하는 워크플로우입니다.
Expert troubleshooting for Apple TV (tvOS) React Native development. Use when users have issues with Siri Remote, focus management, TVEventHandler, TVFocusGuideView, ScrollView not scrolling, tvOS-specific problems, parallax animations, or tvOS vs Android TV differences.
Expert in AppleScript and JavaScript for Automation (JXA) for macOS system scripting. Specializes in secure script execution, application automation, and system integration. HIGH-RISK skill due to shell command execution and system-wide control capabilities.
Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.
Use after code review - implement ALL findings; any finding not fixed MUST have tracking issue created; no finding disappears without trace
Apply and validate the 7 Key Principles to code - TDD, Fail Fast, Modular, Reuse, Open Source, No Debt, Excellence. Checks code compliance and suggests improvements. Use during code review or refactoring.
Provides guidelines for applying Mantel's brand styles to diagrams and frontend components. Use when asked to create visuals that need to align with Mantel's branding.