Agent skill · Testing & QA

investigate

Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to \"investigate this bug\", \"debug this\", \"figure out why this fails\", \"find the root cause\", \"why is this broken\", \"troubleshoot this\", \"diagnose the issue\", \"what's causing this error\", \"look into this failure\", \"why is this test failing\", or \"track down this bug\".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill investigate-tobihagemann-turbo-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/investigate-tobihagemann-turbo-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Investigate Systematic methodology for finding the root cause of bugs, failures, and unexpected behavior. Cycle through characterize-isolate-hypothesize-test steps, with oracle escalation for hard problems. Diagnose the root cause — do not apply fixes. Optional: `$ARGUMENTS` contains the problem description or error message. ## Step 1: Characterize Gather the symptom and establish what is actually happening: 1. **Collect evidence** — error message, stack trace, test output, log entries, or user description of unexpected behavior 2. **Classify the problem type**: | Signal | Type | |--------|------| | Stack trace / exception | Runtime error | | Test assertion failure | Test failure | | Compilation / bundler / build error | Build failure | | Type checker error (tsc, mypy, pyright) | Type error | | Slow response / high CPU / memory growth | Performance | | "It does X instead of Y" / no error | Unexpected behavior | 3. **Establish reproduction** — run the failing command, test, or operation. If the problem cannot be reproduced (intermittent, environment-specific), document the constraints and proceed with historical evidence. Record the exact reproduction command and its output for ve

What's inside
Steps it walks through
  1. Step 1: Characterize
  2. Step 2: Isolate
  3. Git Archeology
  4. Scope Narrowing
  5. Step 3: Hypothesize
  6. Parallel Investigation
  7. Step 4: Test
  8. Iteration
  9. Escalation
  10. Investigation Report
  11. Rules
Ships with 1 file
  • metadata.json
Commands it runs
git log --oneline -20 -- <file>
git blame -L <start>,<end> <file>
More from claude-skill-registry
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About this skill
What does the investigate skill do?

Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to \"investigate this bug\", \"debug this\", \"figure out why this fails\", \"find the root cause\", \"why is this broken\", \"troubleshoot this\", \"diagnose the issue\", \"what's causing this error\", \"look into this failure\", \"why is this test failing\", or \"track down this bug\".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill investigate-tobihagemann-turbo-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going