context-engineering-collection
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
452 skills found
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
Sage MCP protocol implementation for integrating external tool servers and standardized AI model context.
Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Expert framework for designing agent-facing tools, optimizing tool descriptions, enforcing contract-based APIs, and implementing architectural reduction for reliable AI agent tool selection.
Publish Markdown articles to X (Twitter) Articles with rich formatting and automatic conversion of unsupported elements to images.
Automates finalization validation for project workflows by enforcing git compliance, documentation standards, and deployment readiness.
Official documentation skill for Shipany, an AI-powered SaaS boilerplate. Provides expert guidance on Next.js 15, Drizzle ORM, NextAuth, and payment integrations.
Persistent, semantic long-term memory for AI agents. Save, query, and retrieve cross-session dialogues, decisions, and multimodal context using semantic compression.
Framework for building, registering, and orchestrating Model Context Protocol (MCP) tools and AI agent workflows within the Hive native Rust architecture.
Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.