Agent Skills Hub

x-trends

Search and analyze X (Twitter) trends, hashtags, and tweet data by location using custom CLI tools.

backend-rag-implementation

Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.

issue-manage

Interactive CLI-based issue management system for tracking, planning, and executing development tasks with full CRUD capabilities.

serena-mcp

Semantic code analysis guide for Serena MCP. Automatically prioritizes Serena tools for symbols, references, and code memory to optimize context and efficiency.

serena

Symbol-level code understanding and navigation agent toolkit using LSP for precise code analysis, reference tracking, and surgical refactoring across 30+ programming languages.

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.

bird

A command-line interface for X/Twitter that allows for reading, searching, posting, and social engagement using cookie-based authentication, integrated into the OpenWhale AI agent ecosystem.

supabase-auth

Manage Supabase authentication, including user sign-up, sign-in, session management, and admin-level user lifecycle operations via the REST API.

featbit-opentelemetry

Expert guidance for configuring FeatBit observability via OpenTelemetry. Use for setting up metrics, logs, traces, and connecting OTEL backends like Seq, Jaeger, or Prometheus for FeatBit backend monitoring.

tool-integration

Create, register, and manage custom agent tools and MCP servers to extend AI agent capabilities with external APIs and custom logic.

parxy

A unified document processing gateway for PDF parsing, text extraction, conversion, and document manipulation across multiple local and cloud providers.

sql-queries

Generate optimized SQL queries from natural language. Supports BigQuery, PostgreSQL, MySQL, and Snowflake. Analyze database schemas, interpret business requirements, and output ready-to-run queries with explanations.