Generate and maintain the FastAPI backend structure for the RAG chatbot with proper project organization.
Score 70/100
Senior Python Backend Engineer skill for FastAPI. Use when scaffolding production-ready APIs, enforcing clean architecture, optimizing async patterns, or auditing FastAPI…
Score 70/100
Initialize FastAPI backend projects with UV package manager, configure project structure, install dependencies, and set up basic FastAPI application.
Score 70/100
Reusable FastAPI skill with REST endpoint patterns, Pydantic models, dependencies, and async operations. Use for building Python web APIs.
Score 70/100
Standard patterns for building and maintaining CRUD APIs with FastAPI and SQLModel: models, routers, database access, and error handling in a reusable way.
Score 70/100
FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.
Score 70/100
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling.
Score 70/100
Create FastAPI web server with standard middleware, JWT authentication, and REST API endpoints
Score 70/100
FastAPI framework workflow guidelines. Activate when working with FastAPI projects, uvicorn, or FastAPI-specific patterns.
Score 70/100
Guide for creating Fastify route handlers with TypeBox schemas and OpenAPI documentation. Use when adding new routes to app/src/routes/.
Score 70/100
Guidelines for building high-performance APIs with Fastify and TypeScript, covering validation, Prisma integration, and testing best practices
Score 70/100
iOS and Android app deployment automation with Fastlane. Use when building, signing, and distributing apps to TestFlight, App Store, or Google Play.
Score 70/100
Provides Fastlane configuration patterns for Flutter apps including iOS and Android lanes, code signing with match, CI/CD integration with GitHub Actions, and environment…
Score 70/100
FastLED color expert for palette generation, color math, performance optimization, and LED effect debugging across any FastLED project.
Score 70/100
Build, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or…
Score 70/100
Build production-ready MCP servers using FastMCP framework with proven patterns for tools, resources, prompts, OAuth authentication, and comprehensive testing.
Score 70/100
FastMCP Cloud deployment validation, testing, and verification patterns. Use when deploying MCP servers, validating deployments, testing server configurations, checking…
Score 70/100
Build MCP servers in Python with FastMCP to expose tools, resources, and prompts to LLMs. Supports storage backends, middleware, OAuth Proxy, OpenAPI integration, and FastMCP…
Score 70/100
FastMCP is the standard Python framework for building Model Context Protocol servers, clients, and applications.
Score 70/100
Complete guide for building MCP servers with FastMCP 3.0 - tools, resources, authentication, providers, middleware, and deployment.
Score 70/100
Create MCP (Model Context Protocol) servers using FastMCP Python SDK. Define tools that AI agents can call to perform task operations.
Score 70/100
Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.
Score 70/100
Test Fathom integrations in CI/CD pipelines. Trigger with phrases like "fathom CI", "fathom github actions", "test fathom pipeline".
Score 70/100
Collect Fathom API diagnostics for support cases. Trigger with phrases like "fathom debug", "fathom diagnostics".
Score 70/100
Deploy Fathom webhook handlers and meeting sync services. Trigger with phrases like "deploy fathom", "fathom webhook server", "fathom cloud function".
Score 70/100
Optimize Fathom API performance with caching and batch processing. Trigger with phrases like "fathom performance", "fathom caching", "optimize fathom".
Score 70/100
Handle Fathom API rate limits (60 requests/minute per user). Trigger with phrases like "fathom rate limit", "fathom 429", "fathom throttle".
Score 70/100
Reference architecture for Fathom meeting intelligence integrations. Trigger with phrases like "fathom architecture", "fathom design", "fathom integration pattern".
Score 70/100
Faust.js by WP Engine is a JavaScript framework and WordPress plugin that streamlines building headless WordPress sites with Next.js.
Score 70/100
Guidance for deploying FeatBit on AWS, including ECS Fargate, EKS (Kubernetes), and Terraform. Use when user asks about deploying or running FeatBit on AWS.
Score 70/100
Expert guidance for deploying FeatBit with Docker Compose across three tiers - Standalone (PostgreSQL only), Standard (PostgreSQL/MongoDB + Redis), and Professional (+ ClickHouse…
Score 70/100
Deploys FeatBit to Kubernetes using Helm Charts. Use when user mentions "Kubernetes", "Helm", "K8s", "kubectl", works with values.yaml files, asks about "cloud deployment", "Azure…
Score 70/100
FeatBit documentation router that provides likely relevant docs.featbit.co URLs when other FeatBit skills cannot fully answer.
Score 70/100
Step-by-step guide for getting started with FeatBit. Use when user asks about "getting started", "first feature flag", "FeatBit tutorial", "Dino Game demo", "create boolean flag",…
Score 70/100
Expert guidance for using the FeatBit REST API to manage projects, environments, and feature flags programmatically.
Score 70/100
SDK language router for FeatBit. Routes SDK questions to the correct language-specific skill. Use when user asks about "which SDK to use", "SDK overview", "all FeatBit SDKs", or…
Score 70/100
Expert guidance for integrating FeatBit .NET Server SDK into C# and ASP.NET Core applications. Use when user asks about ".NET SDK", "C# feature flags", "ASP.NET Core FeatBit",…
Score 70/100
Expert guidance for integrating FeatBit Go Server SDK. Use when user asks about "Go SDK", "Golang feature flags", "FeatBit Go", or mentions .go files with FeatBit.
Score 70/100
Expert guidance for integrating FeatBit Java Server SDK. Use when user asks about "Java SDK", "Java feature flags", "FeatBit Java", "Maven feature flags", or mentions .java or…
Score 70/100
Expert guidance for integrating FeatBit JavaScript Client SDK in browser environments. Use when user asks about "JavaScript client SDK", "browser feature flags", "FeatBit JS",…
Score 70/100
Expert guidance for integrating FeatBit Node.js Server SDK. Use when user asks about "Node.js SDK", "Node server SDK", "FeatBit Node", or mentions server-side…
Score 70/100
Expert guidance for integrating FeatBit Python Server SDK in backend applications. Use when user asks about "Python SDK", "Python feature flags", "FeatBit Python", fbclient usage,…
Score 70/100
Expert guidance for integrating FeatBit React Client SDK in React web applications. Use when user asks about "React SDK", "React feature flags", "FeatBit React", "useFlags hook",…
Score 70/100
Expert guidance for integrating FeatBit React Native SDK in mobile React Native and Expo applications.
Score 70/100
Expert guidance for Feishu (飞书) / Lark OpenAPI Python development. Build Feishu applications, robots, handle event subscriptions, card callbacks, and API integrations.
Score 70/100
Fetch GitHub issue details with AI analysis comment from github-actions bot, extracting structured data for architecture planning in WescoBar workflows
Score 70/100
Fetch reference implementations from core-supabase repository. Use when (1) implementing Repository layer with Supabase, (2) need RPC function usage patterns, (3) checking correct…
Score 70/100
Fetch Semicolon team standards from docs wiki. Use when (1) providing workflow or process advice, (2) recommending DevOps strategies, (3) referencing team conventions for…
Score 70/100
Retrieve clean markdown from URLs when web_fetch fails. Converts pages via Jina AI reader service with automatic retry.
Score 70/100
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.
Score 70/100
Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine. Use when learning something new, testing understanding, or preparing to teach.
Score 70/100
Complete CI/CD video processing system. PROACTIVELY activate for: (1) GitHub Actions FFmpeg setup, (2) GitLab CI video pipelines, (3) Jenkins declarative pipelines, (4) FFmpeg…
Score 70/100
Complete Cloudflare Container FFmpeg system. PROACTIVELY activate for: (1) Cloudflare Containers setup, (2) Native FFmpeg at edge, (3) GPU-accelerated containers, (4) Durable…
Score 70/100
Complete Docker FFmpeg deployment system. PROACTIVELY activate for: (1) Docker FFmpeg image selection (jrottenberg, linuxserver), (2) GPU passthrough (NVIDIA, Intel, AMD), (3)…
Score 70/100
Complete guide to FFmpeg filter_complex syntax, multi-input/output pipelines, and composition patterns.
Score 70/100
Complete GPU-accelerated encoding/decoding system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20).
Score 70/100
Complete Modal.com FFmpeg deployment system for serverless video processing. PROACTIVELY activate for: (1) Modal.com FFmpeg container setup, (2) GPU-accelerated video encoding on…
Score 70/100
Authoritative Python-FFmpeg parameter integration reference ensuring type safety, accurate parameter mappings, and proper unit conversions.
Score 70/100
Complete browser-based FFmpeg system. PROACTIVELY activate for: (1) ffmpeg.wasm setup and loading, (2) Browser video transcoding, (3) React/Vue/Next.js integration, (4)…
Score 70/100
Review code changes for FFP project standards including multi-tenant security, British English, architecture patterns, and SOLID principles.
Score 70/100