df:debug

Orchestrate a df-debugger subagent with a persistent debug plan.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/AO-Cyber-Systems/devflow-claude --skill df-debug
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: df:debug
Source: https://github.com/AO-Cyber-Systems/devflow-claude/tree/main/skills/df-debug
Command: npx skills add https://github.com/AO-Cyber-Systems/devflow-claude --skill df-debug

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging with persistent state across context resets to help diagnose user issues without losing progress between steps.

Core Features & Use Cases

  • Orchestrates a df-debugger subagent to investigate issues while preserving context
  • Collects symptoms, timelines, and checkpoints to guide a coordinated investigation
  • Spawns continuations or fixes based on results to close the loop quickly and safely

Quick Start

Describe the issue to start a new debugging session and load its persistent state.

Frequently Asked Questions about df:debug

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

FAQPage Schema
How do I debug complex issues without losing context across resets?

Persistent context debugging isolates investigations with a dedicated subagent and a debug plan. It preserves symptom collection, checkpoints, and state management across context resets to maintain progress without losing investigation steps.

What is the best way to coordinate subagents for state management during debugging?

The best way to coordinate subagents for state management is by orchestrating a dedicated debugger subagent. It systematically collects symptoms and timelines, managing checkpoints to guide a coordinated investigation and spawn fixes safely.

Do I need Node.js to run persistent context debugging workflows?

Yes, Node.js is required to run persistent context debugging workflows. A capable Node.js environment is needed to spawn the debugging workflow, orchestrate the subagent, and handle checkpoint coordination across multiple steps.

How do I start a debugging session to collect symptoms and checkpoints?

Start a debugging session by describing the issue to load its persistent state. This initializes the workflow, collecting symptoms and checkpoints to guide the coordinated investigation and spawn continuations based on results.

Can I spawn continuations or fixes automatically based on debugging results?

Yes, the workflow spawns continuations or fixes automatically based on debugging results. The persistent debug plan closes the loop quickly and safely by spawning targeted fixes derived from coordinated investigation outcomes.