3 commits

Author	SHA1	Message	Date
burtenshaw	d6cf2cc058	improve llama.cpp skill	2026-04-21 13:30:10 -07:00
Teknium	73bccc94c7	skills: consolidate mlops redundancies (gguf+llama-cpp, grpo+trl, guidance→optional) (#11965) ... Three tightly-scoped built-in skill consolidations to reduce redundancy in the available_skills listing injected into every system prompt: 1. gguf-quantization → llama-cpp (merged) GGUF is llama.cpp's format; two skills covered the same toolchain. The merged llama-cpp skill keeps the full K-quant table + imatrix workflow from gguf and the ROCm/benchmarks/supported-models sections from the original llama-cpp. All 5 reference files preserved. 2. grpo-rl-training → fine-tuning-with-trl (folded in) GRPO isn't a framework, it's a trainer inside TRL. Moved the 17KB deep-dive SKILL.md to references/grpo-training.md and the working template to templates/basic_grpo_training.py. TRL's GRPO workflow section now points to both. Atropos skill's related_skills updated. 3. guidance → optional-skills/mlops/ Dropped from built-in. Outlines (still built-in) covers the same structured-generation ground with wider adoption. Listed in the optional catalog for users who specifically want Guidance. Net: 3 fewer built-in skill lines in every system prompt, zero content loss. Contributor authorship preserved via git rename detection.	2026-04-17 21:36:40 -07:00
teknium1	732c66b0f3	refactor: reorganize skills into sub-categories ... The skills directory was getting disorganized — mlops alone had 40 skills in a flat list, and 12 categories were singletons with just one skill each. Code change: - prompt_builder.py: Support sub-categories in skill scanner. skills/mlops/training/axolotl/SKILL.md now shows as category 'mlops/training' instead of just 'mlops'. Backwards-compatible with existing flat structure. Split mlops (40 skills) into 7 sub-categories: - mlops/training (12): accelerate, axolotl, flash-attention, grpo-rl-training, peft, pytorch-fsdp, pytorch-lightning, simpo, slime, torchtitan, trl-fine-tuning, unsloth - mlops/inference (8): gguf, guidance, instructor, llama-cpp, obliteratus, outlines, tensorrt-llm, vllm - mlops/models (6): audiocraft, clip, llava, segment-anything, stable-diffusion, whisper - mlops/vector-databases (4): chroma, faiss, pinecone, qdrant - mlops/evaluation (5): huggingface-tokenizers, lm-evaluation-harness, nemo-curator, saelens, weights-and-biases - mlops/cloud (2): lambda-labs, modal - mlops/research (1): dspy Merged singleton categories: - gifs → media (gif-search joins youtube-content) - music-creation → media (heartmula, songsee) - diagramming → creative (excalidraw joins ascii-art) - ocr-and-documents → productivity - domain → research (domain-intel) - feeds → research (blogwatcher) - market-data → research (polymarket) Fixed misplaced skills: - mlops/code-review → software-development (not ML-specific) - mlops/ml-paper-writing → research (academic writing) Added DESCRIPTION.md files for all new/updated categories.	2026-03-09 03:35:53 -07:00