gsd-debug

Diagnose software issues by orchestrating symptom collection and root-cause analysis.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/dobrinz123/claude-skills-share --skill gsd-debug-dobrinz123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-debug
Source: https://github.com/dobrinz123/claude-skills-share/tree/main/skills/gsd-debug
Command: npx skills add https://github.com/dobrinz123/claude-skills-share --skill gsd-debug-dobrinz123

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging with persistent context across context resets. This setup coordinates symptom collection, specialized debugger subagents, and checkpoint-driven workflows to isolate root causes while preserving user context.

Core Features & Use Cases

  • Orchestrates symptom gathering, subagent execution, and continuation flows for complex bugs
  • Supports checkpoint handling, root-cause discovery, and safe remediation planning
  • Scales across projects, sessions, and configurations to debug flaky or failing systems

Quick Start

Describe the issue and ask the system to initiate a gsd-debug session to gather symptoms and spawn a debugger agent.

Frequently Asked Questions about gsd-debug

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

FAQPage Schema
How do I debug persistent or flaky software bugs across multiple sessions?

To debug persistent or flaky bugs across multiple sessions, this Skill orchestrates symptom collection, spawns specialized subagents, and uses checkpoint-driven workflows to isolate root causes while preserving user context. It systematically handles integration failures across files and configurations.

What is the best way to diagnose root causes for complex integration failures?

Diagnosing root causes for complex integration failures requires a staged multi-agent workflow that enforces flag parsing, session checks, and agent orchestration. It coordinates symptom gathering and checkpoint handling to surface a verified root cause and safe remediation plan.

How does multi-agent debugging work for isolating software issues?

Multi-agent debugging works by orchestrating specialized debugger subagents to handle symptom collection and root-cause analysis across sessions. It applies a staged workflow with checkpoint handling to surface verified root causes while preserving user context.

Can I use automated hypothesis testing for root-cause analysis on flaky behavior?

Yes, you can use automated hypothesis testing for root-cause analysis on flaky behavior. This Skill orchestrates symptom gathering and subagent execution through a staged workflow, applying checkpoint handling to verify hypotheses and surface safe remediation plans for failing systems.

Does persistent-state debugging help when context resets interrupt issue tracking?

Persistent-state debugging helps when context resets interrupt issue tracking by maintaining session state and checkpoint handling across resets. It coordinates symptom collection and subagent execution to ensure systematic root-cause discovery continues without losing prior debugging context.

What are the limitations of using a staged multi-agent workflow for software debugging?

A staged multi-agent workflow for software debugging requires structured flag parsing and session checks to function correctly, meaning unstructured issue descriptions may not trigger proper agent orchestration. It is designed for persistent bugs and integration failures rather than simple syntax errors.