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debug-kernel

Testing & Quality
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Debug compilation or runtime errors in LLK kernels. Infers architecture and kernel type from path.

QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/tenstorrent/tt-metal/blob/HEAD/tt_metal/tt-llk/.claude/skills/debug-kernel/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/debug-kernel/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

/debug-kernel — Debug an LLK Kernel

Usage

/debug-kernel tt_llk_blackhole/llk_lib/llk_pack_untilize.h
/debug-kernel tt_llk_quasar/common/inc/sfpu/ckernel_sfpu_gelu.h
/debug-kernel  (no args — will ask for the kernel path or check recent test output)

What to Do

  1. Parse the kernel path from the user's arguments. If not provided, check recent test output or ask.
  2. Infer the kernel type from the path:
    • common/inc/sfpu/ → sfpu
    • llk_lib/llk_math_ → math
    • llk_lib/llk_pack_ → pack
    • llk_lib/llk_unpack_ → unpack
  3. Infer the architecture from the path:
    • tt_llk_wormhole_b0/ → wormhole
    • tt_llk_blackhole/ → blackhole
    • tt_llk_quasar/ → quasar
  4. Spawn the llk-debugger agent:
Agent tool:
  subagent_type: "llk-debugger"
  description: "Debug {kernel_name}"
  prompt: |
    Kernel path: {kernel_path}
    Kernel type: {kernel_type}
    Architecture: {architecture}
    Error context: {any error output the user provided, or "check logs"}
  1. Report the agent's results to the user
  2. If the fix involves code changes, show the diff and explain the fix