| name | code-reviewer |
| description | Code review skill specialized for tt-xla (Python + C++ PJRT plugin for Tenstorrent hardware). Covers C++ memory safety, PJRT API patterns, Python test standards, and project-specific conventions. |
Code Reviewer — tt-xla
Specialized code review toolkit for the tt-xla project: a PJRT-based backend that enables JAX and PyTorch/XLA on Tenstorrent AI hardware.
Languages & Stack
Languages: C++20, Python 3.12
Build: CMake + Ninja, Python setuptools (wheel packaging)
Formatting: clang-format (C++, style from .clang-format), black + isort (Python)
Testing: pytest with custom markers
Logging: loguru (C++), Python stdlib logging
CI: pre-commit hooks (black, clang-format, SPDX copyright, trailing whitespace, isort)
How It Works
When invoked via /code-reviewer, Claude Code loads this file and the reference documents into context, then applies them to review the code. No external tools, containers, or scripts needed.
- Apply the checklist in
references/code_review_checklist.md
- Check against standards in
references/coding_standards.md
- Flag any matches from
references/common_antipatterns.md
Reference Documentation
All review focus areas, coding standards, and antipatterns are documented in the reference files below. Refer to these as the single source of truth during reviews:
references/code_review_checklist.md — Step-by-step review checklist (C++, Python, CMake, general)references/coding_standards.md — Project coding standards for C++ and Pythonreferences/common_antipatterns.md — Antipatterns specific to tt-xla with wrong/right examples
