Skills matching the name, description or GitHub author.
Use when starting a new session without feature-list.json, setting up project structure, or breaking down requirements into atomic features. Load in INIT state. Detects project type (Python/Node/Django/FastAPI)...
This skill should be used when the user asks to "create a FastAPI app", "add an API endpoint", "create a REST API", "implement authentication", "add OAuth2", "create Pydantic models", "add request validation",...
This skill should be used when the user asks to "create a FastAPI app", "add an API endpoint", "create a REST API", "implement authentication", "add OAuth2", "create Pydantic models", "add request validation",...
[Extends backend-developer] Python FastAPI specialist. Use for FastAPI apps, async endpoints, Pydantic v2, SQLAlchemy async, dependency injection. Invoke alongside backend-developer for Python API projects.
FastAPI Python backend for LLM Arena game server. Use when working on API endpoints, LLM provider integration via LiteLLM, game move processing, prompt engineering for AI players, error handling, or backend tes...
Python backend expert. PROACTIVELY use when working with Django, FastAPI, Flask, Python APIs. Triggers: python, django, fastapi, flask, async python
This skill should be used when the user asks to "create background task", "add async job", "implement task queue", "schedule periodic task", "use Celery", "use ARQ", "process async", or mentions background proc...
This skill should be used when the user asks to "add WebSocket", "implement real-time", "create file upload", "add S3 upload", "send email", "implement notifications", "broadcast events", or mentions WebSockets...
This skill should be used when the user asks to "deploy FastAPI to Kubernetes", "create Dockerfile", "build Docker image", "write Helm chart", "configure K8s deployment", "add health checks", "scale FastAPI", o...
Expert guidance for building full-stack applications with Next.js frontend and FastAPI backend. Use when integrating React/Next.js with Python FastAPI, building API routes, or implementing SSR/SSG with Python b...
Эксперт ML API. Используй для model serving, inference endpoints, FastAPI и ML deployment.
Memory layer integration patterns for FastAPI with Mem0 including client setup, memory service patterns, user tracking, conversation persistence, and background task integration. Use when implementing AI memory...
Integration templates for FastAPI endpoints, Next.js UI components, and Supabase schemas for ML model deployment. Use when deploying ML models, creating inference APIs, building ML prediction UIs, designing ML...
Build and deploy a Next.js web interface for the Voice Assistant with real-time voice/chat capabilities. Use this skill when: (1) Creating a web-based voice assistant UI, (2) Setting up FastAPI WebSocket backen...
n8n workflow automation for building analytics including SkySpark multi-agent systems, FastAPI tool servers, workflow orchestration, and automated building system alert triage
Expert guidance for building FastAPI applications including API design, authentication, database integration, dependency injection, testing, and production best practices. Use when building or working with Fast...
Design, implement, and debug a custom ChatKit backend in Python that powers the ChatKit UI without Agent Builder, using the OpenAI Agents SDK (and optionally Gemini via an OpenAI-compatible endpoint). Use this...
This skill orchestrates code review and plan validation using Google Gemini CLI. It should be used when users want to validate implementation plans, review completed code, or discuss architecture decisions with...
Complete FastAPI API development framework for Python. Provides comprehensive assistance for building APIs with routing, authentication (JWT, OAuth2, Better Auth), Pydantic models, database integration, and dep...
Use BEFORE implementing, writing, configuring, or setting up ANY feature involving libraries, frameworks, or complex APIs - even before reading existing code. Fetches current documentation to ensure correct usa...
Industrial-strength NLP with spaCy 3.x for text processing and custom classifier training. Use when "installing spaCy", "selecting model for nlp" (en_core_web_sm/md/lg/trf), "tokenization", "POS tagging", "name...
Design, implement, and debug a custom ChatKit backend in Python that powers the ChatKit UI without Agent Builder, using the OpenAI Agents SDK (and optionally Gemini via an OpenAI-compatible endpoint). Use this...
Build self-hosted speech-to-text APIs using Hugging Face models (Whisper, Wav2Vec2) and create LiveKit voice agent plugins. Use when building STT infrastructure, creating custom LiveKit plugins, deploying self-...
Comprehensive guidance for FastAPI, Typer, and SQLModel development including patterns, best practices, API design, CLI development, database integration, testing, and common workflows. Use this skill when buil...
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