debug

Automate end-to-end error debugging with RCA-first analysis and agent orchestration.

86|9|Updated Nov 12, 2025
One-click install
npx skills add https://github.com/arpitnath/claude-capsule-kit --skill debug-arpitnath
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debug
Source: https://github.com/arpitnath/claude-capsule-kit/tree/main/skills/debug
Command: npx skills add https://github.com/arpitnath/claude-capsule-kit --skill debug-arpitnath

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates end-to-end error debugging using a structured RCA-first approach with specialized agents to replace reactive, trial-and-error debugging workflows.

Core Features & Use Cases

  • RCA-first analysis with error-detective for root-cause identification.
  • Systematic INVESTIGATE with debugger for deep code tracing.
  • Parallel exploration when multiple hypotheses exist, and verification workflows with code reviews.
  • Integrates with Capsule context to reuse past sessions and observations.

Quick Start

Invoke the /debug command to start the RCA-first debugging workflow and orchestrate agents toward a verified fix.

Frequently Asked Questions about debug

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

FAQPage Schema
How do I automate root cause analysis for runtime errors and failing tests?

Automated root cause analysis for runtime errors is handled through a structured RCA-first workflow that orchestrates specialized agents to capture, investigate, and verify fixes across local, CI, and production environments.

What is the best way to debug software bugs across CI-CD pipelines and production environments?

Debugging software bugs across CI-CD and production is managed by a phase-based workflow using error-detective and debugger agents, enabling systematic code tracing and parallel exploration for reliable fixes.

How does automated debugging handle multiple hypotheses during root cause investigation?

Automated debugging handles multiple hypotheses by deploying parallel exploration during the investigation phase, allowing the debugger agents to evaluate divergent root causes simultaneously before applying a fix.

Can I reuse past debugging sessions and error tracking observations for new investigations?

You can reuse past debugging observations by integrating with Capsule context, which preserves previous session data to inform and accelerate new root cause analysis and verification workflows.

What steps are involved in an RCA-first debugging workflow for CI-CD failures?

An RCA-first debugging workflow for CI-CD failures follows five phases: Capture the error, perform RCA, Investigate the codebase, apply the Fix, and Verify the resolution through agent orchestration.

Does automated debugging require specific dependencies to start tracing failing tests?

Automated debugging requires no external dependencies to start tracing failing tests, operating entirely through its internal error-detective and debugger agent orchestration to guide investigation and verification.