# Optimization Catalog Cutile Dsl

> Shared optimization guidance plus cuTile Python DSL-specific overlays. Use when: (1) selecting optimizations for a cuTile Python DSL kernel, (2) checking cuTile-specific implementation traps, (3) deciding whether a profiling finding belongs in shared knowledge or a cuTile overlay, (4) updating cuTile Python DSL optimization docs, (5) reviewing how a shared pattern maps to cuTile.

- Skill: `pepperu96/optimization-catalog-cutile-dsl` (Agent Skill)
- Install (CLI): `npx skillmds@latest add pepperu96/optimization-catalog-cutile-dsl`
- Raw SKILL.md: https://api.skillmd.com/api/skills/pepperu96/optimization-catalog-cutile-dsl/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: pepperu96 (https://skillmd.com/u/pepperu96)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/pepperu96/optimization-catalog-cutile-dsl

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# cuTile Python DSL Optimization Catalog

## Read Order

1. Start with the shared root catalogs in `docs/knowledge/optimizations/` and `docs/knowledge/anti-patterns/`.
2. Then read cuTile Python DSL-specific overlays in `docs/knowledge/languages/cutile-dsl/` when the implementation depends on cuTile APIs, compiler behavior, or code-generation limits.

## cuTile Overlay Root

- `docs/knowledge/languages/cutile-dsl/optimizations/`
- `docs/knowledge/languages/cutile-dsl/anti-patterns/`

## Typical cuTile-only topics

- `num_ctas`, `occupancy`, or `ByTarget` behavior
- cuTile math and numeric-semantics hints
- code-generation sensitivity tied to `@ct.kernel` lowering
- limits that arise from cuTile's public scheduling model