discover-ml
Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. Activates for ML development tasks.
npx skills add majiayu000/claude-skill-registry --skill discover-ml-rand-cc-polymath-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Ml Skills Discovery Provides automatic access to comprehensive ml skills. ## When This Skill Activates This skill auto-activates when you're working with: - machine learning - ML - AI - models - training - inference - PyTorch - TensorFlow ## Available Skills ### Quick Reference The Ml category contains 25 skills: 1. **custom-llm-evaluation** 2. **diffusion-finetuning** 3. **diffusion-model-basics** 4. **dspy-assertions** 5. **dspy-evaluation** 6. **dspy-modules** 7. **dspy-optimizers** 8. **dspy-rag** 9. **dspy-setup** 10. **dspy-signatures** 11. **graph-rag** 12. **hierarchical-rag** 13. **hybrid-search-rag** 14. **llm-as-judge** 15. **llm-benchmarks-evaluation** 16. **llm-dataset-preparation** 17. **llm-evaluation-frameworks** 18. **llm-model-routing** 19. **llm-model-selection** 20. **lora-peft-techniques** 21. **multi-model-orchestration** 22. **rag-evaluation-metrics** 23. **rag-reranking-techniques** 24. **stable-diffusion-deployment** 25. **unsloth-finetuning** ### Load Full Category Details For complete descriptions and workflows: Read <cc-polymath-root>/skills/ml/INDEX.md This loads the full Ml category index with: - Detailed skill descriptions - Usage triggers for each
- When This Skill Activates
- Available Skills
- Quick Reference
- Load Full Category Details
- Load Specific Skills
- Progressive Loading
- Usage Instructions
What does the discover-ml skill do?
Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. Activates for ML development tasks.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill discover-ml-rand-cc-polymath-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.