discover-ml
This skill automatically activates when Claude detects machine learning work and provides access to 25 ML-related sub-skills. It uses a progressive loading approach: first the gateway, then category index, then specific skills. The skill lists available ML tools for evaluation, fine-tuning, RAG, and DSPy workflows.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install rand-cc-polymath-discover-ml
Repository
Skill path: skills/discover-ml
This skill automatically activates when Claude detects machine learning work and provides access to 25 ML-related sub-skills. It uses a progressive loading approach: first the gateway, then category index, then specific skills. The skill lists available ML tools for evaluation, fine-tuning, RAG, and DSPy workflows.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Data / AI, Full Stack.
Target audience: ML developers using Claude who need quick access to various ML tools and techniques without remembering specific skill names.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: rand.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install discover-ml into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/rand/cc-polymath before adding discover-ml to shared team environments
- Use discover-ml for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
--- name: discover-ml description: Automatically discover machine learning and AI skills when working with machine learning. Activates for ml development tasks. --- # 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: ```bash cat ~/.claude/skills/ml/INDEX.md ``` This loads the full Ml category index with: - Detailed skill descriptions - Usage triggers for each skill - Common workflow combinations - Cross-references to related skills ### Load Specific Skills Load individual skills as needed: ```bash cat ~/.claude/skills/ml/custom-llm-evaluation.md cat ~/.claude/skills/ml/diffusion-finetuning.md cat ~/.claude/skills/ml/diffusion-model-basics.md cat ~/.claude/skills/ml/dspy-assertions.md cat ~/.claude/skills/ml/dspy-evaluation.md ``` ## Progressive Loading This gateway skill enables progressive loading: - **Level 1**: Gateway loads automatically (you're here now) - **Level 2**: Load category INDEX.md for full overview - **Level 3**: Load specific skills as needed ## Usage Instructions 1. **Auto-activation**: This skill loads automatically when Claude Code detects ml work 2. **Browse skills**: Run `cat ~/.claude/skills/ml/INDEX.md` for full category overview 3. **Load specific skills**: Use bash commands above to load individual skills --- **Next Steps**: Run `cat ~/.claude/skills/ml/INDEX.md` to see full category details.