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root-cause-tracing Skill

AI Agent SkillTypeScriptOpen source

Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior Published by microsoft in FluidFramework.

What is root-cause-tracing Skill?

Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior Published by microsoft in FluidFramework. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
92/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Database workflows
  • Data analysis
  • Testing use cases
  • Database workflows use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use root-cause-tracing Skill

  • Use it for testing.
  • Use it for database workflows.
  • Use it for data analysis.

Built with

TypeScriptCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/FluidFramework
  • Skill file: .agency/plugins/nori/skills/root-cause-tracing/SKILL.md

What it does

Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior

Skill instructions

Root Cause Tracing Overview Bugs often manifest deep in the call stack (git init in wrong directory, file created in wrong location, database opened with wrong path). Your instinct is to fix where the error appears, but that's treating a symptom. Core principle: Trace backward through the call chain until you find the original trigger, then fix at the source. When to Use dot digraph whentouse { "Bug appears deep in stack?" [shape=diamond]; "Can trace backwards?" [shape=diamond]; "Fix at symptom point" [shape=box]; "Trace to original trigger" [shape=box]; "Bug appears deep in stack?" - "Can trace backwards?" [label="yes"]; "Can trace backwards?" - "Trace to original trigger" [label="yes"]; "Can trace backwards?" - "Fix at symptom point" [label="no - dead end"]; } Use when: - Error happens deep in execution (not at entry point) - Stack trace shows long call chain - Unclear where invalid data originated - Need to find which test/code triggers the problem The Tracing Process 1. Observe the

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Frequently asked questions

What is root-cause-tracing?

root-cause-tracing is a open-source AI agent skill with Copy skill directory. Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to.

Who is root-cause-tracing best for?

root-cause-tracing is best for reusing agent instructions, scripts, and references, testing workflows, database workflows, data analysis workflows.

How do I install root-cause-tracing?

Install or run root-cause-tracing using Copy skill directory. Check root-cause-tracing for the latest setup command.

Is root-cause-tracing actively maintained?

root-cause-tracing may need a closer maintenance check before production use.

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Forks
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Last commit
9 days ago
Repository age
7 years
License
MIT

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