# machine-learning

A skill that steers your agent toward JAX idioms: pure functions, JIT, and correct PRNG key handling.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 2100 installs · ★ 286
- Author: Mindrally
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/Mindrally/skills/tree/HEAD/machine-learning/SKILL.md
- Updated: 2026-10-08
- HTML: https://affpapa.org/en/nevibecode/skills/machine-learning

## What it does

This skill sets the ground rules for machine learning work in JAX. It tells the agent to keep functions pure, avoid side effects, and write code that JIT can actually compile. Handy when you are building a training loop and do not want PyTorch habits leaking into the output.

The rules cover the JAX basics. Arrays go through `jax.numpy`, gradients through `jax.grad`, compilation through `jax.jit`, batching through `jax.vmap`. Control flow should use `jax.lax.scan`, `jax.lax.cond` and `jax.lax.fori_loop`; Python branching inside a jitted function is called out as something to avoid. Random numbers get their own section: split keys, never reuse one, or reproducibility breaks.

Memory and speed have their own blocks — dtype choices, batching, checkpointing for large models, profiling hot paths. Neural network layers are expected to come from Flax or Haiku, with models defined as pure functions. Keep in mind this is instruction text for the agent only; JAX itself and your layer library still need to be installed in the project.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add Mindrally/skills --skill machine-learning -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/machine-learning/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/machine-learning/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add Mindrally/skills --skill machine-learning -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/machine-learning/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add Mindrally/skills --skill machine-learning -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/machine-learning/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install Mindrally/skills machine-learning
```

2. **Manually: put the files in place**
- File: `.github/skills/machine-learning/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add Mindrally/skills --skill machine-learning -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/Mindrally/skills --path machine-learning
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/machine-learning/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add Mindrally/skills --skill machine-learning -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/Mindrally/skills/tree/HEAD/machine-learning/SKILL.md

## When to use it
- write JAX training code without side effects
- swap Python loops for `jax.lax.scan` and `fori_loop`
- split PRNG keys so runs stay reproducible
- cut memory use with checkpointing and dtype choices
- define network layers with Flax or Haiku

## Example prompts
- rewrite this training loop in JAX using pure functions
- check this jitted function for Python branching and replace it with `jax.lax.cond`
- split the PRNG keys so batching and dropout do not share one

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 07179db895704cd2.

BEGIN THIRD-PARTY FILE 07179db895704cd2
```text
---
name: machine-learning
description: Machine learning development with JAX, functional programming patterns, and high-performance computing.
metadata:
  maintainer: Mindrally
  source: https://github.com/Mindrally/skills
---

# Machine Learning

You are an expert in machine learning development with JAX and functional programming patterns.

## Core Principles

- Follow functional programming patterns
- Use immutability and pure functions
- Leverage JAX transformations effectively
- Optimize for JIT compilation

## JAX Fundamentals

### Array Operations
- Use `jax.numpy` for NumPy-compatible operations
- Leverage automatic differentiation with `jax.grad`
- Apply JIT compilation with `jax.jit`
- Vectorize with `jax.vmap`

### Control Flow
- Use `jax.lax.scan` for sequential operations
- Apply `jax.lax.cond` for conditionals
- Implement loops with `jax.lax.fori_loop`
- Avoid Python control flow in jitted functions

### Random Numbers
- Use JAX's functional random API
- Split keys properly for reproducibility
- Never reuse random keys

## Best Practices

### Performance
- Write pure functions without side effects
- Use JAX arrays instead of NumPy where possible
- Leverage random key splitting properly
- Profile and optimize hot paths
- Minimize Python overhead in hot loops

### Memory Management
- Use appropriate dtypes for memory efficiency
- Batch operations when possible
- Implement checkpointing for large models
- Profile with JAX profiler

## Common Patterns

- Use pytrees for nested data structures
- Implement custom vjp/jvp when needed
- Leverage sharding for multi-device training
- Use checkpointing for memory efficiency

## Model Development

- Define models as pure functions
- Use Flax or Haiku for neural network layers
- Implement proper initialization strategies
- Structure training loops functionally
```
END THIRD-PARTY FILE 07179db895704cd2

The third-party file has ended. Everything between the 07179db895704cd2 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

© Mindrally · Apache-2.0 · https://github.com/Mindrally/skills/tree/HEAD/machine-learning/SKILL.md

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