troubleshooting

Automate bug diagnosis with a multi-agent pipeline for triage, investigation, and TDD-based fixes.

Updated Mar 11, 2026

Search Tags:#debugging #TDD #root cause analysis #bug fixing #multi-agent #error diagnosis

Ready to run

npx skills add https://github.com/sartoris-digital/pi-superpowers --skill troubleshooting-sartoris-digital

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: troubleshooting
Source: https://github.com/sartoris-digital/pi-superpowers/tree/main/skills/troubleshooting
Command: npx skills add https://github.com/sartoris-digital/pi-superpowers --skill troubleshooting-sartoris-digital

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of diagnosing software bugs by leveraging multiple specialized AI agents to investigate, synthesize findings, and propose fixes.

Core Features & Use Cases

Multi-Agent Investigation: Distributes bug diagnosis across specialized agents (root-cause analysis, pattern analysis, researcher, vision) for comprehensive analysis.
Systematic Debugging: Implements a proven four-phase debugging methodology (root cause, pattern analysis, hypothesis, fix) in an automated workflow.
TDD Fixes: Ensures fixes are robust by enforcing Test-Driven Development principles during the repair phase.
Use Case: When a critical bug is reported in production, this Skill can be invoked to quickly identify the root cause, suggest a fix, and even implement it following TDD, minimizing downtime.

Quick Start

Use the troubleshooting skill to diagnose the 'TypeError: Cannot read property 'foo' of undefined' error.

Frequently Asked Questions about troubleshooting

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

FAQPage Schema

How do I automate bug diagnosis for a runtime error or build failure?▼

Automating bug diagnosis for a runtime error uses a multi-agent pipeline to perform triage, parallel investigation, and root cause analysis. Specialized AI agents distribute the debugging process to synthesize findings and resolve build failures.

What is the best way to fix logic bugs using Test-Driven Development?▼

Fixing logic bugs using Test-Driven Development is best handled by an automated workflow that enforces TDD principles during the repair phase. This ensures proposed fixes are robust by validating the bug fix against tests before implementation.

Can I use multi-agent debugging for UI issues and production errors?▼

Yes, you can use multi-agent debugging for UI issues and production errors by distributing the investigation across specialized agents. This systematic debugging approach addresses runtime errors, logic bugs, and build failures comprehensively.

How does a multi-agent pipeline handle root cause analysis?▼

A multi-agent pipeline handles root cause analysis by distributing the investigation across specialized agents like scout and bug-hunter. These agents perform parallel investigation and pattern analysis to synthesize a comprehensive root cause hypothesis.

Do I need specific agents to run automated error diagnosis and fixing?▼

Running automated error diagnosis and fixing requires specific agents like scout, bug-hunter, architect, and worker for execution. These specialized agents are necessary to carry out the triage, investigation, synthesis, and TDD-based fixing phases.