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Merge: skill reorganization + sub-category support
- Sub-category support in prompt_builder.py (backwards-compatible) - Split mlops (40 skills) into 7 logical sub-categories - Merged 8 singleton categories into logical parents - Fixed 2 misplaced skills (code-review, ml-paper-writing)
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skills/creative/DESCRIPTION.md
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skills/creative/DESCRIPTION.md
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description: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.
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Media content extraction and transformation tools — YouTube transcripts, audio, video processing.
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description: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.
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skills/mlops/cloud/DESCRIPTION.md
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skills/mlops/cloud/DESCRIPTION.md
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description: GPU cloud providers and serverless compute platforms for ML workloads.
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skills/mlops/evaluation/DESCRIPTION.md
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skills/mlops/evaluation/DESCRIPTION.md
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description: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.
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skills/mlops/inference/DESCRIPTION.md
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skills/mlops/inference/DESCRIPTION.md
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description: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.
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skills/mlops/models/DESCRIPTION.md
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skills/mlops/models/DESCRIPTION.md
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description: Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).
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skills/mlops/research/DESCRIPTION.md
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skills/mlops/research/DESCRIPTION.md
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description: ML research frameworks for building and optimizing AI systems with declarative programming.
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skills/mlops/training/DESCRIPTION.md
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skills/mlops/training/DESCRIPTION.md
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description: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.
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