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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.
83 lines
2.3 KiB
Markdown
83 lines
2.3 KiB
Markdown
---
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name: unsloth
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description: Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
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version: 1.0.0
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author: Orchestra Research
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license: MIT
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dependencies: [unsloth, torch, transformers, trl, datasets, peft]
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metadata:
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hermes:
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tags: [Fine-Tuning, Unsloth, Fast Training, LoRA, QLoRA, Memory-Efficient, Optimization, Llama, Mistral, Gemma, Qwen]
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---
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# Unsloth Skill
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Comprehensive assistance with unsloth development, generated from official documentation.
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## When to Use This Skill
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This skill should be triggered when:
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- Working with unsloth
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- Asking about unsloth features or APIs
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- Implementing unsloth solutions
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- Debugging unsloth code
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- Learning unsloth best practices
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## Quick Reference
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### Common Patterns
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*Quick reference patterns will be added as you use the skill.*
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## Reference Files
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This skill includes comprehensive documentation in `references/`:
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- **llms-txt.md** - Llms-Txt documentation
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Use `view` to read specific reference files when detailed information is needed.
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## Working with This Skill
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### For Beginners
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Start with the getting_started or tutorials reference files for foundational concepts.
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### For Specific Features
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Use the appropriate category reference file (api, guides, etc.) for detailed information.
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### For Code Examples
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The quick reference section above contains common patterns extracted from the official docs.
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## Resources
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### references/
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Organized documentation extracted from official sources. These files contain:
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- Detailed explanations
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- Code examples with language annotations
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- Links to original documentation
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- Table of contents for quick navigation
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### scripts/
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Add helper scripts here for common automation tasks.
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### assets/
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Add templates, boilerplate, or example projects here.
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## Notes
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- This skill was automatically generated from official documentation
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- Reference files preserve the structure and examples from source docs
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- Code examples include language detection for better syntax highlighting
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- Quick reference patterns are extracted from common usage examples in the docs
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## Updating
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To refresh this skill with updated documentation:
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1. Re-run the scraper with the same configuration
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2. The skill will be rebuilt with the latest information
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<!-- Trigger re-upload 1763621536 -->
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