Individual skill
failure-oriented-instrumentation
Selectively instruments code to capture runtime data for debugging failures and bugs. Use when investigating crashes, exceptions, unexpected behavior, test failures, or performance issues. Analyzes stack traces and error messages to identify suspicious code regions, then adds targeted logging, tracing, and assertions to capture variable values, execution paths, timing, and conditional branches. Supports Python, JavaScript/TypeScript, Java, and C/C++.
skills/failure-oriented-instrumentation/SKILL.md
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- Last checked
- Nov 11, 2026
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- Aug 21, 2026
- License
- Apache-2.0
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- claude-skills Repository topic
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# Failure-Oriented Instrumentation
Strategically instrument code to capture high-signal runtime data for debugging failures, focusing only on suspicious regions rather than comprehensive instrumentation.
## Workflow
### 1. Analyze the Failure
Gather and analyze failure information:
- Error message and exception type
- Stack trace showing call chain
- Failure location (file, line, function)
- Reproduction steps or test case
- Expected vs actual behavior