Extracts a reusable project template from a mature project — captures architecture, pipeline, conventions, CI/CD, Docker, testing, linting, and pitfalls into a portable template.
Extract and summarize test failures from logs. Use to quickly understand what tests failed and why.
Use when analyzing FileMaker DDR to extract calculations, custom functions, and business logic for PostgreSQL import processes or maintenance scripts - focuses on understanding…
A framework for discovering non-obvious product solutions by rapidly building and testing radical, opposing versions of a feature's core attributes.
Execute and generate ExUnit tests for Elixir projects with setup callbacks, describe blocks, and async testing support — from FortiumPartners/ensemble
Reviews ExUnit test code for proper patterns, boundary mocking with Mox, and test adapter usage. Use when reviewing _test.exs files or test helper configurations.
Execute and generate ExUnit tests for Elixir projects with setup callbacks, describe blocks, and async testing support — from engineering/testing
Use when writing, modifying, or reviewing tests for Elixir/Phoenix code in this project — ExUnit unit/integration tests, property-based tests with stream_data, or Phoenix LiveView…
Designs and implements Eyefi fleet/device features using DDD — Device aggregate, ConnectionProfile, DeviceEvent (later DeviceRecording), CameraVendorDriver registry, Mobotix…
在程式裡串接、開發或除錯台灣 ezPay（簡單行動支付，藍新 NewebPay 家族）電子發票 API 時使用本 skill —— 任何語言或框架皆適用（Laravel/PHP、Python、Node、Go…）。典型任務：開立 B2C/B2B 發票、觸發開立、作廢發票、…
Use when completing tasks, implementing major features, or before merging to verify work meets requirements — from engineering/code-quality
How FabLL (faebryk.core.node) maps Python node/trait declarations into the TypeGraph + instance graph, including field/trait invariants and instantiation patterns.
Diagnose and resolve Microsoft Fabric REST API errors including HTTP 401 Unauthorized, 403 Forbidden, 404 Not Found, 429 Throttling, and 5xx server errors.
Diagnose and resolve performance issues with Microsoft Fabric User Data Functions. Use when functions are slow, timing out, returning errors, consuming excessive capacity units,…
Face alignment, landmark extraction, and quality gating. Use when debugging alignment issues, reviewing rejected faces, or tuning quality thresholds.
Build face recognition systems with InsightFace, ArcFace, enrollment pipelines, HDBSCAN clustering, and privacy-compliant architecture.
Verify technical accuracy of JavaScript concept pages by checking code examples, MDN/ECMAScript compliance, and external resources to prevent misinformation — from tc39/proposals
Apply factory function patterns to compose clients and services with proper separation of concerns. Use when creating functions that depend on external clients, wrapping resources…
Use when confronted with an unknown failure in CI or production to rapidly categorize the issue before deep debugging.
Automation & tooling specialist: browser automation, CI/CD, monorepo, performance testing, feature flags. 23 methodologies.
Code quality specialist: architecture patterns, refactoring, code review, development practices. 23 methodologies.
Automatically manages PostgreSQL backups with pgBackRest and Wasabi S3 storage when working with FairDB databases
Complete fal.ai API reference system. PROACTIVELY activate for: (1) @fal-ai/client JavaScript setup, (2) fal_client Python setup, (3) fal.subscribe/run/stream methods, (4) Queue…
Complete fal.ai optimization system. PROACTIVELY activate for: (1) Queue vs run performance, (2) Parallel request batching, (3) Streaming for real-time UI, (4) WebSocket for…
Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading,…
Lints, tests, simulates, and formats Fastly VCL code using the falco tool. Also serves as the authoritative VCL reference via the falco Go source, which implements Fastly's full…
For cross-version support: try/except imports, optional dependencies, graceful degradation across Python versions.
Reliable Python execution workflow when execute_code_sandbox or shell_agent fail
Two-step script execution workflow for debugging when shell_agent and execute_code_sandbox consistently fail
Codebase intelligence for JavaScript and TypeScript. Free static layer finds unused code (files, exports, types, dependencies), code duplication, circular dependencies, complexity…
Expert landscape designer transforming yards through photo mapping, 3D visualization, seasonal planning, and deep plant knowledge.
Multi-perspective code review with breaking-change detection, a deterministic merge gate, and questions for the dev. Spawns 6 parallel reviewers.
Viết test case (TC) trên FARE từ spec đã có — mỗi AC của user_story / mỗi flow của use_case → n TC theo kỹ thuật ISTQB (positive / negative / boundary / equivalence_class /…
Chạy verify cho test cases trên FARE — ghi `verify_history` atomic qua `update_test_case(verify={...})`, cập nhật `verify_status` (passed/failed/blocked/skipped); đối chiếu task…
Pattern DevOps: Docker, CI/CD, deploy, monitoring, infrastruttura. Trigger: "docker", "deploy", "ci/cd", "pipeline", "infrastruttura", "monitoring setup"
Strategia di migrazione da codebase legacy. Analisi, piano incrementale, strangler fig. Trigger: "migrazione", "legacy", "refactor completo", "modernizzare"
Pattern Python: FastAPI, SQLAlchemy, Alembic, Pydantic, virtual env, packaging. Trigger: "fastapi", "python", "sqlalchemy", "django", "flask"
Pattern Supabase: RLS, Edge Functions, Realtime, Storage, Auth, migration. Trigger: "supabase", "RLS", "edge function", "realtime subscription"
Pattern di test avanzati: unit, integration, E2E, mocking, fixture. Trigger: "scrivi test", "testing strategy", "coverage", "test E2E"
FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them.
REST API design and implementation patterns for FastAPI endpoints including CRUD operations, pagination, filtering, error handling, and request/response models.
Use when creating FastAPI backend applications - route handlers, dependencies, CORS config, or Pydantic models.
Use when adding background tasks or event integration to a scaffolded FastAPI service after the broker and contracts are declared in backend-architecture.
Implement and validate FastAPI authentication strategies including JWT tokens, OAuth2 password flows, OAuth2 scopes for permissions, and Supabase integration.
FastAPI routes, services, auth JWT, streaming, error handling, OpenAI integration
FastAPI backend development guidelines for Python async applications. Domain-Driven Design with FastAPI routers, SQLModel/SQLAlchemy ORM, repository pattern, service layer,…
Production-ready FastAPI backend skill for handling chat requests, persisting conversations, invoking OpenAI Agents SDK, and managing MCP tool execution for Todo AI chatbot.
Comprehensive code review skill for FastAPI projects. Analyzes codebase against industry best practices covering async patterns, project structure, Pydantic usage, dependency…
트리거: "fastapi 만들어줘", "fastapi codegen", "fastapi 코드 생성", "fastapi 라우터 생성", "fastapi api 만들어줘" 수행: Python FastAPI 프로젝트의 Router·Pydantic Schema·Service·Dependency 계층을 자동 생성한다.
Build FastAPI applications with async patterns, Pydantic validation, dependency injection, and modern Python API practices.
Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment.
[Extends backend-developer] Python FastAPI specialist. Use for FastAPI apps, async endpoints, Pydantic v2, SQLAlchemy async, dependency injection.
Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.
Guide for creating FastAPI endpoints following this project's conventions including routers, dependency injection, error handling, and OpenAPI documentation.
Provides a comprehensive, reusable skill for standardized API error handling in FastAPI. Includes custom exception classes, global exception handlers, structured JSON logging, and…
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows — from…
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
Enterprise-grade FastAPI development covering complete full-stack architecture with Next.js/React frontend, Neon Serverless PostgreSQL, SQLModel ORM, security hardening, payment…
Développement d'APIs performantes avec FastAPI, Pydantic, async/await, OpenAPI et système de dépendances.
FastAPI development assistant for building modern Python web APIs. Provides guidance on routing, request/response handling, dependency injection, authentication, middleware,…