One-click install
npx skills add https://github.com/kaiohenricunha/dotbabel --skill create-inspection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-inspection
Source: https://github.com/kaiohenricunha/dotbabel/tree/main/plugins/dotbabel/templates/claude/skills/create-inspection
Command: npx skills add https://github.com/kaiohenricunha/dotbabel --skill create-inspection

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the guesswork and rushed, poorly evaluated fixes that come from not fully understanding a problem before acting, saving development time and reducing the risk of introducing new issues.

Core Features & Use Cases

  • Evidence-Based Root Cause Diagnosis: Investigates code, tests, and logs to identify the actual source of a problem, not just its symptoms, with mandatory file:line citations for all claims.
  • Multi-Option Fix Planning: Generates at least 2 distinct fix approaches with clear tradeoffs, effort estimates, and risk assessments for each, so you can pick the best fit for your context.
  • Use Case: Use this before implementing any non-trivial fix, like resolving a flaky E2E test, an auth token race condition, or a performance regression, to avoid wasted effort on suboptimal solutions.

Quick Start

Use the create-inspection skill to investigate the flaky E2E login test failure and generate a structured fix path document saved to your project's docs/inspections directory.

Frequently Asked Questions about create-inspection

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

FAQPage Schema
How do I investigate a flaky test failure before attempting a code fix?

To investigate a flaky test failure, you need a structured root cause analysis that examines code, tests, and logs to identify the actual source with file citations, rather than just treating symptoms. This process generates evidence-backed decision documents outlining viable fix paths.

What is the best way to plan code debugging for a performance regression?

The best way to plan code debugging for a performance regression is to generate a multi-option fix comparison. This includes evaluating at least two distinct approaches with clear tradeoffs, effort estimates, and risk assessments to avoid wasted effort on suboptimal solutions.

How does pre-fix evaluation work for authorization token race conditions?

Pre-fix evaluation for authorization token race conditions works by investigating the specific technical problem across the codebase to produce a structured decision document. It outlines viable fix paths with associated tradeoffs and saves the output to a project's docs directory for stakeholder review.

Can I use root cause analysis for misconfiguration issues in my software engineering project?

Yes, you can use root cause analysis for misconfiguration issues. It applies to pre-fix evaluation workflows across software engineering codebases, generating evidence-backed diagnoses with mandatory file:line citations for all claims to ensure accurate problem resolution.

Why do I need a tradeoff assessment before implementing a non-trivial bug fix?

You need a tradeoff assessment before implementing a non-trivial bug fix to eliminate guesswork and rushed, poorly evaluated fixes. This saves development time and reduces the risk of introducing new issues by fully understanding the problem before acting.