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systematic-debugging Skill

AI Agent SkillTypeScriptOpen source

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions Published by microsoft in FluidFramework.

What is systematic-debugging Skill?

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions 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
  • Data analysis
  • Testing use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use systematic-debugging Skill

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

Built with

TypeScriptCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/FluidFramework
  • Skill file: .agency/plugins/nori/skills/systematic-debugging/SKILL.md

What it does

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions

Skill instructions

Systematic Debugging Overview Random fixes waste time and create new bugs. Quick patches mask underlying issues. Core principle: ALWAYS find root cause before attempting fixes. Symptom fixes are failure. Violating the letter of this process is violating the spirit of debugging. The Iron Law NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST If you haven't completed Phase 1, you cannot propose fixes. When to Use Use for ANY technical issue: - Test failures - Bugs in production - Unexpected behavior - Performance problems - Build failures - Integration issues Use this ESPECIALLY when: - Under time pressure (emergencies make guessing tempting) - "Just one quick fix" seems obvious - You've already tried multiple fixes - Previous fix didn't work - You don't fully understand the issue Don't skip when: - Issue seems simple (simple bugs have root causes too) - You're in a hurry (rushing guarantees rework) - Manager wants it fixed NOW (systematic is faster than thrashing) The Four Phases You MUST

Explore related resources

Frequently asked questions

What is systematic-debugging?

systematic-debugging is a open-source AI agent skill with Copy skill directory. Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation).

Who is systematic-debugging best for?

systematic-debugging is best for reusing agent instructions, scripts, and references, testing workflows, data analysis workflows.

How do I install systematic-debugging?

Install or run systematic-debugging using Copy skill directory. Check systematic-debugging for the latest setup command.

Is systematic-debugging actively maintained?

systematic-debugging may need a closer maintenance check before production use.

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Stars
4,934
Forks
581
Last commit
9 days ago
Repository age
7 years
License
MIT

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