A toolkit that makes Claude Code better at engineering — session memory, dependency analysis, large file navigation, 18 specialist agents, and crew teams for parallel multi-branch work.
An agent-first task board, Take human out of the loop.
Context-Engine MCP - Agentic Context Compression Suite
Agent-friendly Markdown-to-video automation pipeline with reproducible rendering and pluggable media providers.
The definitive guide & configuration system for GitHub Copilot CLI — agents, skills, rules, multi-AI orchestration, and more

Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing.
CC Workflow Studio
Plugin for Butterbase.ai
Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.
Production Claude Code skills for n8n from a Verified Creator's 100+ workflows
Task tracking for Agents
Redis' official collection of agent skills
Multi-model orchestration subagents for Claude Code — delegates by task scope to Gemini's 1M-token context or GPT's fast iteration, then routes every result back through Claude review.
Claude Code skill for building persistent, interlinked knowledge bases from source documents. Knowledge is compiled once and kept current — never re-derived per query. Based on Karpathy's LLM Wiki pattern.
AI agent skills for Meshy AI 3D generation platform
Gives VS Code agent mode planning superpowers with dynamic todo lists
⭐ A front-end starter kit and Claude Code boilerplate -- built on Vite 8, TypeScript 6, Tailwind 4, TanStack Router, and TanStack Query.
Build a Claude-Code-shaped agent harness from scratch. 7-week course, 20 chapters, ~5,000 lines of Python, 42 tests, 3 LLM providers, no frameworks.

🥷 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.
Research-first architecture engine for Python, TS, Go and Rust. Mines GitHub Issues for real production failures before scaffolding, then audits drift, cycles and fragility in code you already have. Zero import cycles, zero critical anti-patterns - measured against itself.
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
Save tokens. Maximize context, Safely
Real-world AI workflows for creators.