---
name: ML Skills Discovery
slug: ml-skills-discovery
category: AI Engineering
description: ML Skills Discovery automatically loads relevant machine learning and AI skills during ML development tasks. Use it when working on training, inference, RAG, embeddings, fine-tuning, LLMs, or diffusion models.
github: "https://github.com/rand/cc-polymath/tree/main/skills/discover-ml"
language: Python
stars: 175
forks: 12
install: "npx degit https://github.com/rand/cc-polymath/tree/main/skills/discover-ml ~/.claude/skills/discover-ml"
installs_to: ~/.claude/skills/discover-ml
source_path: skills/discover-ml/SKILL.md
collection_size: 25
category_size: 3475
collection_url: "https://dirskills.com/collections/rand/cc-polymath"
added: 2026-09-07T05:21:40.744Z
last_synced: 2026-09-07T05:21:40.744Z
canonical_url: "https://dirskills.com/skills/ml-skills-discovery"
---

# ML Skills Discovery

ML Skills Discovery automatically loads relevant machine learning and AI skills during ML development tasks. Use it when working on training, inference, RAG, embeddings, fine-tuning, LLMs, or diffusion models.

**Install:**

```bash
npx degit https://github.com/rand/cc-polymath/tree/main/skills/discover-ml ~/.claude/skills/discover-ml
```

## README

# 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
- Modal
- serverless functions
- cloud deployment
- GPU workloads
- web endpoints
- Modal platform

## Available Skills

### Quick Reference

The ML category contains 42 skills across 2 subcategories:

**ML (34 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**

Plus 9 more in `../ml/INDEX.md`

**Modal (8 skills):** See `../modal/INDEX.md`

### Load Full Category Details
Read ../ml/INDEX.md
Read ../modal/INDEX.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 `Read ../ml/INDEX.md` for full category overview
3. **Load specific skills**: Use bash commands above to load individual skills


**Next Steps**: Run `Read ../ml/INDEX.md` to see full category details.