Diagnose training performance problems and systemic errors in AI deployment pipelines.
npx skills add https://github.com/Jiachen-T-Wang/tinker-swe --skill debug-jiachen-t-wang
Please help me install this Agent Skill. Skill: debug Source: https://github.com/Jiachen-T-Wang/tinker-swe/tree/main/skills/debug Command: npx skills add https://github.com/Jiachen-T-Wang/tinker-swe --skill debug-jiachen-t-wang
This Skill helps users identify and troubleshoot training slowdowns, hanging sessions, output mismatches, error messages, and deployment problems by providing structured debugging procedures.
Use the debug skill to collect live thread stacks and asyncio task statuses during a training run to identify blocking operations or resource contention.
High-intent search queries and answers about installing and using this skill.
Diagnose training slowdowns by collecting live thread stacks to pinpoint GIL contention and blocking operations. This Skill provides structured procedures to identify resource bottlenecks and guide effective fixes.
Debug hanging sessions by utilizing advanced profiling tools like async task dumps and stack monitoring. This method captures asyncio task statuses during runs to identify code blocking or network delays.
Map opaque SDK errors to root causes by applying structured error interpretation procedures. This Skill helps troubleshoot output mismatches and system errors, guiding effective fixes for deployment problems.
Yes, you can use async task dumps to identify blocking operations in your training pipeline. This Skill offers deep profiling capabilities to collect asyncio task statuses and diagnose dependency issues or resource contention.
Training runs hang due to code blocking, dependency issues, or server outages, which stack monitoring helps identify. By capturing live thread stacks, you can isolate the exact blocking operation causing the hang.
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