root-cause-tracing

Trace bugs backward through call stacks to identify original triggers.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/overtimepog/AgentTheo --skill root-cause-tracing-overtimepog
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: root-cause-tracing
Source: https://github.com/overtimepog/AgentTheo/tree/main/.claude/skills/superpowers/root-cause-tracing
Command: npx skills add https://github.com/overtimepog/AgentTheo --skill root-cause-tracing-overtimepog

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of debugging errors that manifest deep in the call stack, ensuring fixes target the original trigger rather than just symptoms, preventing recurring bugs and wasted effort.

Core Features & Use Cases

  • Systematic Backward Tracing: Guides tracing bugs backward through the call stack to identify the original source of invalid data or incorrect behavior.
  • Instrumentation for Insights: Provides techniques for adding diagnostic instrumentation (e.g., stack traces, debug logs) when manual tracing is insufficient.
  • Polluter Identification: Includes a script (find-polluter.sh) to help identify which specific test or code block is polluting the environment.
  • Use Case: When a git init command unexpectedly runs in the source code directory, use this skill to trace back through the call chain to find where an empty projectDir originated and fix it at that source, not just where the git init command was called.

Quick Start

Apply the root-cause-tracing skill to investigate why the processData function is receiving an unexpected null value deep in its execution.

Frequently Asked Questions about root-cause-tracing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I trace a bug back through the call stack to find where it originated?▼

Root-cause tracing traces bugs backward through the call stack to identify the original source of invalid data or incorrect behavior, rather than just fixing the symptom. Start by examining where the error manifests, then work backward through each function call to locate where bad data first entered the chain.

When should I use instrumentation to debug errors instead of manual tracing?▼

Use instrumentation—such as stack traces and debug logs—when the call stack is too long or complex for manual tracing alone. Instrumentation provides diagnostic visibility into intermediate function calls, helping you pinpoint the exact point where behavior diverged from expected.

How do I identify which test or code block is polluting the environment?▼

Root-cause tracing includes techniques and scripts to systematically identify which specific test or code block introduced bad state. Use polluter identification to isolate the source of environment pollution, then trace backward to fix the root trigger rather than just cleaning up afterward.

Can I apply root-cause tracing to errors that occur deep in runtime or test execution?▼

Yes. Root-cause tracing is designed for errors occurring deep in execution where the call stack is long and the root cause cannot be inferred from the symptom alone. It applies to both runtime failures and test scenarios with complex, layered execution paths.

What's the difference between fixing where an error occurs versus fixing its root cause?▼

Fixing where an error occurs addresses the symptom and prevents immediate failure, but the root cause may trigger the same bug again elsewhere. Root-cause tracing ensures fixes target the original trigger—such as an empty variable or invalid state—preventing recurring bugs and wasted debugging effort.