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https://github.com/Orchestra-Research/AI-Research-SKILLs.git
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zechenzhangAGI
80f9c1fec8
New skills added (59 total, 84% towards 70-skill target): - PEFT (03-fine-tuning): Parameter-efficient fine-tuning with LoRA, QLoRA, DoRA, 25+ methods (431 lines + 2 refs) - AWQ (10-optimization): Activation-aware 4-bit quantization with minimal accuracy loss (310 lines + 2 refs) - CrewAI (14-agents): Multi-agent orchestration with role-based collaboration (498 lines + 3 refs) - Qdrant (15-rag): High-performance Rust vector search with hybrid filtering (493 lines + 2 refs) - LangSmith (17-observability): LLM observability, tracing, evaluation for AI apps (422 lines + 2 refs) New category: Observability (17-observability) ~8,000 new lines of documentation across 16 files 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>