mcp-builder
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
607 skills found
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Expert-level guidance for ffuf web fuzzing, enabling automated discovery of hidden directories, files, parameters, and vulnerabilities during penetration testing.
Generate incident response timelines and structured report packs from event logs to facilitate efficient detection-to-recovery tracking.
Unified CLI tool to read, query, discover, and write AI agent conversations using the agents:// URI scheme across multiple coding agents and providers.
Comprehensive management for the Flow Nexus platform, covering user authentication, sandbox execution, app deployment, credit management, and gamified challenges.
Definition of Done (DoD) verification workflow that triggers automatically upon implementation completion to ensure quality, document evidence, and standardize reporting.
MIKE-FIRST v6.0: An enterprise multi-cloud resilience platform for compliance auditing, security intelligence, and zero-downtime cloud migration.
Maintenance patterns for the @youdotcom-oss/mcp STDIO bridge, focusing on transport lifecycle management, shutdown guards, and robust error handling.
Implement secure session-based authentication in FastAPI with Argon2 hashing, database-backed sessions, and OAuth2 provider integration.
ClawHub is the official registry and CLI tool for managing OpenClaw AI agent skills. Search, install, version-control, and publish custom skills to your local OpenClaw workspace.
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Orchestrates complex multi-agent software development using a structured Royal Navy squadron metaphor, featuring mission planning, parallel task coordination, and rigorous audit logs.