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v1.0.0 — Initial release

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@dgrauet dgrauet released this 19 Apr 16:51
· 15 commits to main since this release

First public release of the porting-pytorch-to-mlx Claude Code skill.

Install

Download porting-pytorch-to-mlx.skill and drop it into Claude Code, or clone the repo and copy the source:

```bash
git clone https://github.com/dgrauet/claude-skill-mlx-porting.git
cp -r claude-skill-mlx-porting/porting-pytorch-to-mlx ~/.claude/skills/
```

What's included

  • SKILL.md — 7-step porting workflow + six reading-time traps
  • 6 reference files — MLX docs, common pitfalls, attention patterns, weight conversion, parity testing, repo layout
  • scripts/parity_helpers.py — reusable PyTorch↔MLX helpers
  • evals/evals.json — 5 representative test cases

Measured performance

  • Triggering accuracy: 100% (precision + recall = 1.0 across 20 queries)
  • Pass-rate lift vs baseline Opus 4.7: +10 to +25 percentage points on workflow-intensive tasks

See the README for full details.