ml

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:

cat 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:

cat skills/ml/custom-llm-evaluation.md
cat skills/ml/diffusion-finetuning.md
cat skills/ml/diffusion-model-basics.md
cat skills/ml/dspy-assertions.md
cat 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 skills/ml/INDEX.md for full category overview
3. Load specific skills: Use bash commands above to load individual skills

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Next Steps: Run cat skills/ml/INDEX.md to see full category details.

Hanzo-Native ML Research

For research or systems work on Hanzo's own ML/LLM stack — hanzo-ml, hanzo-nn, hanzo-train, hanzo-transformers, kernel/DSL work, hanzo-research, engine, or decision/Kai — load:

cat skills/hanzo-ml-research/SKILL.md

This is the canonical Rust-native workflow for falsifiable ML experiments, SOTA literature-to-ablation work, /v1/research evidence logging, backend optimization, and production promotion gates.