Automate user-installed Electron desktop apps (Slack, Discord, VS Code, Notion, Figma, Spotify, etc.) via CDP using this repo's Libretto CLI.
Score 70/100
Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives,…
Score 70/100
Expert guide for setting up bidirectional sync between SpecWeave and GitHub Issues, JIRA, or Azure DevOps.
Score 70/100
Enforces confirmation workflow for EXTERNAL system writes (Jira, Confluence, BitBucket, Slack) ONLY. NEVER activates for Linear operations (Linear is internal tracking).
Score 70/100
Open a rendered page, describe the fields you want, and return structured data without hand-maintaining brittle selectors.
Score 70/100
Extracts a reusable project template from a mature project — captures architecture, pipeline, conventions, CI/CD, Docker, testing, linting, and pitfalls into a portable template.
Score 70/100
Extract and summarize test failures from logs. Use to quickly understand what tests failed and why.
Score 70/100
Use when analyzing FileMaker DDR to extract calculations, custom functions, and business logic for PostgreSQL import processes or maintenance scripts - focuses on understanding…
Score 70/100
A framework for discovering non-obvious product solutions by rapidly building and testing radical, opposing versions of a feature's core attributes.
Score 70/100
Execute and generate ExUnit tests for Elixir projects with setup callbacks, describe blocks, and async testing support
Score 70/100
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Score 70/100
Face alignment, landmark extraction, and quality gating. Use when debugging alignment issues, reviewing rejected faces, or tuning quality thresholds.
Score 70/100
Verify technical accuracy of JavaScript concept pages by checking code examples, MDN/ECMAScript compliance, and external resources to prevent misinformation
Score 70/100
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…
Score 70/100
Automation & tooling specialist: browser automation, CI/CD, monorepo, performance testing, feature flags. 23 methodologies.
Score 70/100
Code quality specialist: architecture patterns, refactoring, code review, development practices. 23 methodologies.
Score 70/100
Automatically manages PostgreSQL backups with pgBackRest and Wasabi S3 storage when working with FairDB databases
Score 70/100
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…
Score 70/100
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…
Score 70/100
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,…
Score 70/100
Codebase intelligence for JavaScript and TypeScript. Free static layer finds unused code (files, exports, types, dependencies), code duplication, circular dependencies, complexity…
Score 70/100
Expert landscape designer transforming yards through photo mapping, 3D visualization, seasonal planning, and deep plant knowledge.
Score 70/100
Pattern DevOps: Docker, CI/CD, deploy, monitoring, infrastruttura. Trigger: "docker", "deploy", "ci/cd", "pipeline", "infrastruttura", "monitoring setup"
Score 70/100
Strategia di migrazione da codebase legacy. Analisi, piano incrementale, strangler fig. Trigger: "migrazione", "legacy", "refactor completo", "modernizzare"
Score 70/100
Pattern Python: FastAPI, SQLAlchemy, Alembic, Pydantic, virtual env, packaging. Trigger: "fastapi", "python", "sqlalchemy", "django", "flask"
Score 70/100
Pattern Supabase: RLS, Edge Functions, Realtime, Storage, Auth, migration. Trigger: "supabase", "RLS", "edge function", "realtime subscription"
Score 70/100
Pattern di test avanzati: unit, integration, E2E, mocking, fixture. Trigger: "scrivi test", "testing strategy", "coverage", "test E2E"
Score 70/100
FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them.
Score 70/100
REST API design and implementation patterns for FastAPI endpoints including CRUD operations, pagination, filtering, error handling, and request/response models.
Score 70/100
Use when creating FastAPI backend applications - route handlers, dependencies, CORS config, or Pydantic models.
Score 70/100
Implement and validate FastAPI authentication strategies including JWT tokens, OAuth2 password flows, OAuth2 scopes for permissions, and Supabase integration.
Score 70/100
FastAPI routes, services, auth JWT, streaming, error handling, OpenAI integration
Score 70/100
Production-ready FastAPI backend skill for handling chat requests, persisting conversations, invoking OpenAI Agents SDK, and managing MCP tool execution for Todo AI chatbot.
Score 70/100
Comprehensive code review skill for FastAPI projects. Analyzes codebase against industry best practices covering async patterns, project structure, Pydantic usage, dependency…
Score 70/100
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.
Score 70/100
Build FastAPI applications with async patterns, Pydantic validation, dependency injection, and modern Python API practices.
Score 70/100
Configure multi-platform deployment for FastAPI applications including Docker containerization, Railway, DigitalOcean App Platform, and AWS deployment.
Score 70/100
[Extends backend-developer] Python FastAPI specialist. Use for FastAPI apps, async endpoints, Pydantic v2, SQLAlchemy async, dependency injection.
Score 70/100
Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.
Score 70/100
Guide for creating FastAPI endpoints following this project's conventions including routers, dependency injection, error handling, and OpenAPI documentation.
Score 70/100
Provides a comprehensive, reusable skill for standardized API error handling in FastAPI. Includes custom exception classes, global exception handlers, structured JSON logging, and…
Score 70/100
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up…
Score 70/100
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
Score 70/100
Enterprise-grade FastAPI development covering complete full-stack architecture with Next.js/React frontend, Neon Serverless PostgreSQL, SQLModel ORM, security hardening, payment…
Score 70/100
Développement d'APIs performantes avec FastAPI, Pydantic, async/await, OpenAPI et système de dépendances.
Score 70/100
FastAPI development assistant for building modern Python web APIs. Provides guidance on routing, request/response handling, dependency injection, authentication, middleware,…
Score 70/100
Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and…
Score 70/100
Comprehensive guide for building production-ready microservices with FastAPI including REST API patterns, async operations, dependency injection, and deployment strategies
Score 70/100
Fastapi Ml Endpoint - Auto-activating skill for ML Deployment. Triggers on: fastapi ml endpoint, fastapi ml endpoint Part of the ML Deployment skill category.
Score 70/100
FastAPI + SQLModel + Neon PostgreSQL 後端開發最佳實踐。適用於 Render 部署的 API 服務。涵蓋路由設計、資料庫操作、錯誤處理、認證授權。
Score 70/100
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns.
Score 70/100
Production-grade FastAPI patterns for async APIs, SQLAlchemy 2.0, Pydantic v2, and robust error handling.
Score 70/100
Production-ready FastAPI project scaffolding templates including directory structure, configuration files, settings management, dependency injection, MCP server integration, and…
Score 70/100
Senior Backend Architect and Principal QA Engineer skill for Test-Driven Development (TDD) with FastAPI and Pytest.
Score 70/100
Expert in FastAPI Python development with best practices for APIs and async operations
Score 70/100
Use this agent when you need to design, implement, or optimize FastAPI backend applications. This includes API endpoint creation, database integration,…
Score 70/100
WHEN: FastAPI project review, Pydantic models, async endpoints, dependency injection WHAT: Pydantic validation + Dependency injection + Async patterns + OpenAPI docs + Security…
Score 70/100
Fastapi Router Creator - Auto-activating skill for Backend Development. Triggers on: fastapi router creator, fastapi router creator Part of the Backend Development skill category.
Score 70/100
Create FastAPI routers following established patterns with proper authentication, response models, and HTTP status codes.
Score 70/100
Generate FastAPI project scaffold with uvicorn, OpenAPI docs, and configuration management
Score 70/100