refresh-claude
Production-ready Claude Code configuration template with stack presets, security hooks, and automation tools
Browse AI and ML workflow skills for model integration, prompt engineering, evaluations, and LLM automation across major IDEs.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Production-ready Claude Code configuration template with stack presets, security hooks, and automation tools
Evidence-backed rules for validating AI coding agent instructions. Core rules for structure, content, efficiency, governance, and maintenance.
MemoryLane gives Claude Code durable project memory by extracting knowledge locally and injecting only what matters.
AI-powered productivity companion that transforms chaotic notes into balanced, actionable tasks across multiple life goals. Built with Next.js, Supabase, and Claude AI.
Enhanced MCP code execution. Agent framework-agnostic (optimized for Claude Code). Skills framework (99.6% token reduction), multi-transport, sandboxing
Centralized LLM configuration and documentation management system. Tools for building skills, commands, agents, prompts, and managing MCP servers. Multi-LLM support (Claude Code, Codex, OpenCode).
Comprehensive Claude Code project template with 164 skills, 50 commands, and full configuration
Validates PR code against Architecture Decision Records (ADRs). Uses oracle for deep analysis of implementation compliance.
Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows.
Session continuity and productivity commands for Claude Code - demonstrating AI workflow automation and agent orchestration
A structured prompt framework for building software products with AI coding assistants. This toolkit guides you through product specification, technical design, and implementation planning—producing documents that AI agents can execute against.
Agent Capability Standard is an open specification for composable AI agent capabilities. It defines 36 atomic capabilities across 9 cognitive layers, a type-safe workflow DSL, and grounded world modeling with trust-aware conflict resolution. Built on the Grounded Agency philosophy, it makes agent reliability structural—not optional.