parallel-debugging

Generates competing hypotheses and collects standardized evidence using the ACH methodology to identify bug root causes.

4|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill parallel-debugging-ai-foundry-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-debugging
Source: https://github.com/AI-Foundry-Core/ril-agents/tree/main/plugins/agent-teams/skills/parallel-debugging
Command: npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill parallel-debugging-ai-foundry-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Debug complex issues by organizing competing hypotheses and evidence to identify root causes efficiently.

Core Features & Use Cases

  • ACH-based hypothesis generation across multiple failure modes
  • Structured evidence collection with standardized formats
  • Arbitration workflow to converge on root cause and validate fixes
  • Suitable for cross-module bugs, race conditions, integration failures

Quick Start

Activate parallel-debugging on the failing workflow to generate hypotheses and collect evidence.

Frequently Asked Questions about parallel-debugging

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

FAQPage Schema
How do I debug complex race conditions spanning multiple modules?

Debug complex race conditions by generating competing hypotheses and collecting standardized evidence to converge on the root cause. This approach applies ACH methodology to guide structured investigations across multiple modules and validate fixes before deployment.

What is the best way to find the root cause of intermittent integration failures?

Finding the root cause of intermittent integration failures is best achieved by applying ACH methodology. It generates competing hypotheses across multiple failure modes and uses a formal arbitration workflow to converge on the actual root cause.

How does the ACH methodology work for software debugging?

ACH methodology for software debugging works by generating competing hypotheses for complex bugs and collecting structured evidence. It uses a formal arbitration process to evaluate the evidence against each hypothesis and converge on the validated root cause.

Can I use structured arbitration workflows to validate fixes before deployment?

You can use structured arbitration workflows to validate fixes before deployment. The process evaluates standardized evidence against competing hypotheses, ensuring the identified root cause is accurate and the proposed fix is formally verified.

Does parallel hypothesis debugging work for cross-module bugs?

Parallel hypothesis debugging works effectively for cross-module bugs. It generates ACH-based hypotheses across multiple failure modes, collects standardized evidence, and uses an arbitration workflow to converge on the root cause.