debugger

Analyze error messages and stack traces to propose verified fixes for OpenClaw agents.

9|2|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/botlearn-ai/botlearn-skills --skill debugger-botlearn-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debugger
Source: https://github.com/botlearn-ai/botlearn-skills/tree/main/skills/debugger
Command: npx skills add https://github.com/botlearn-ai/botlearn-skills --skill debugger-botlearn-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables OpenClaw agents to perform structured, hypothesis-driven debugging to identify root causes, design minimal, verifiable fixes, and produce regression tests, accelerating reliable software repairs.

Core Features & Use Cases

  • Hypothesis-driven debugging workflow that yields ranked root-cause candidates
  • Evidence-backed diagnostic guidance including reproduction steps and test plans
  • Safe, minimal-change fixes with explicit regression test recommendations

Quick Start

Describe the bug symptoms and provide a step-by-step root-cause analysis with a recommended fix and regression test.

Frequently Asked Questions about debugger

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

FAQPage Schema
What is hypothesis-driven debugging and how does it identify root causes?

Hypothesis-driven debugging systematically ranks potential root causes using evidence from error messages and stack traces. It guides reproducible investigations across inter-service events to reveal the true origin of software failures.

How do I debug an error using a root-cause analysis workflow?

Describe the bug symptoms to initiate root-cause analysis. The workflow evaluates stack traces and inter-service events, proposes verified fixes prioritizing minimal changes, and recommends regression tests to prevent recurrence.

Can I use hypothesis-driven debugging for inter-service errors in OpenClaw?

Yes, hypothesis-driven debugging works across inter-service events, error messages, and stack traces for OpenClaw agents. It analyzes distributed failures to produce evidence-backed diagnostic guidance and reproduction steps.

What's the best way to ensure a bug fix doesn't cause regressions?

Ensure bug fixes avoid regressions by prioritizing minimal changes and adding explicit regression test recommendations. The debugging workflow documents evidence-based rationale and produces test plans for verified fixes.

Why does my code review need root-cause analysis before approving fixes?

Code review needs root-cause analysis to verify that fixes address actual failures rather than symptoms. Evidence-based rationale and ranked root-cause candidates ensure reproducible investigations and safe, minimal-change patches.