The definitive guide & configuration system for GitHub Copilot CLI — agents, skills, rules, multi-AI orchestration, and more
Production Claude Code skills for n8n from a Verified Creator's 100+ workflows

🥷 A code-first, strongly-typed build automation system for Deno.
AI coding agent with one Python core and three front-ends — headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-tiered permissions, event-sourced replayable sessions, and a fail-closed OS-level sandbox.
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
Save tokens. Maximize context, Safely
An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration
Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.
Keep Claude Code context clean. Open-source toolkit: drift detection, re-read dedup, integrity scoring, AST-aware reads, 15 MCP tools. 62.6% measured savings, reproducible.
Fast, interruptible verification browser for AI coding agents: 35 ms checks, pixel diffs, live human hand-off
Turn tracker tickets into autonomous agent sessions
🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams
Use Claude to orchestrate agents like OpenClaw
A repository that ships its own code. AI workflows triage issues, implement them, review, and auto-merge with no human reading the diff. Runs on Archon. The app it maintains is a cited RAG chat over YouTube transcripts, live at chat.dynamous.ai.
MCP server for OpenCode AI — 70 tools, 10 resources, 5 prompts. Use npx opencode-mcp with Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP client.
Desktop workbench for Claude Code — live subagent topology, token cost breakdown with drill-down, hook sandbox, config audit. Reads your session files locally. Electron, MIT.

This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
A framework-agnostic, git-native standard for defining AI agents
MCP for 1C:EDT
Grov automatically captures the context from your private AI sessions and syncs it to a shared team memory. It auto injects relevant memories across developers and future sessions to save tokens and time spent on tasks.
The Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
A kit for building with AI agents and also the engineering patterns around it.

The AI Agent Kit for Solana Devs