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Nvidia Model Optimizer Debug

Run commands inside a remote Docker container via the file-based command relay (tools/debugger). Use when the user says "run in Docker", "run on GPU", "debug remotely", "run test in container", "check nvidia-smi", "run pytest in Docker", or needs to execute any command inside a Docker container that shares the repo filesystem. Requires the user to have started server.sh inside the container first.

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DevOps & Infra

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Remote Docker Debugger

Execute commands inside a Docker container from the host using the file-based command relay.

Read tools/debugger/CLAUDE.md for full usage details — it has the protocol and examples.

Quick Reference

# Check connection
bash tools/debugger/client.sh status

# Connect to server (user must start server.sh in Docker first)
bash tools/debugger/client.sh handshake

# Run a command
bash tools/debugger/client.sh run "<command>"

# Long-running command (default timeout is 600s)
bash tools/debugger/client.sh --timeout 1800 run "<command>"

# Cancel the currently running command
bash tools/debugger/client.sh cancel

# Reconnect after server restart
bash tools/debugger/client.sh flush
bash tools/debugger/client.sh handshake

autohandai/community-skills/tree/main/nvidia-model-optimizer-debug commit d083b2b9ed

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npx skillmds@latest add autohandai-community-skills/nvidia-model-optimizer-debug