Agent Skills Hub

reverse-engineering-api

Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients for automation and data extraction.

basic-usage

Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.

ragcode-sse

Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.

dev

Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.

upstash-workflow-js

Build durable, reliable serverless workflows using the Upstash Workflow SDK. Define endpoints, manage complex execution steps, and integrate with QStash for automatic retries and state management.

ring:dev-sre

Gate 2 development cycle skill that validates observability implementation, including structured logging, OpenTelemetry tracing, and instrumentation coverage, without modifying code.

mcp-rails

Implement a full Model Context Protocol (MCP) stack in Rails. Connect to external servers, expose your Rails app as an MCP server, or manage subprocess MCP containers via Docker with OAuth 2.1 PKCE support.

swagger-petstore-openapi-3-0

A structured API interface for the Swagger Petstore, optimized for AI agents to interact with resources like pets, users, and store orders using on-demand documentation loading.

functions

Deploy serverless browser automation as cloud functions using Browserbase. Perfect for cron jobs, webhook endpoints, and scalable cloud-based automation tasks.

backend-core

Language-agnostic backend architectural patterns covering API design, authentication, security protocols, and database modeling.

openai-agents-sdk

Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.

mls

Unified local ML inference server for ASR, TTS, Translation, Image Generation, and Vision on Apple Silicon, powered by MLX.