14 battle-tested skill packs from top practitioners. 145K+ GitHub stars combined. MIT licensed — yours to use forever.
The ultimate collection: 47 agents, 181 skills, 72 commands, rules for 12 languages, hooks, and MCP configs.
Structured memory palace for LLMs — wings/halls/rooms hierarchy with +34% retrieval accuracy.
Meta-agent that autonomously improves task agents overnight. Set it and forget it.
Autonomous research pipeline — ran 50 experiments in 72 hours with +411% improvement.
Architecture search engine that discovers optimal model architectures autonomously.
Self-evolving agent framework based on cutting-edge survey research.
Living Knowledge Base plugin — compiles markdown into topic wiki with 90% context reduction.
Clean, simple memory system for LLMs. Companion to AutoResearchClaw.
4 principles for LLM coding derived from Andrej Karpathy's observations.
Curated best practices from Karpathy, ECC creator, OpenClaw founder, and top practitioners.
Starter settings, memory bank system, hooks, and slash commands for Claude Code.
10-module learning path — takes you from beginner to power user in 11-13 hours.
Production-ready templates forked by 15+ research groups. Includes quizzes and cheatsheet.
Multi-agent review workflow with quality gates and adversarial QA. Ready to fork.
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14 Premium Skill Packs
145K+ GitHub stars, MIT licensed