Why does the skill ask for 'minimum information'?

To ensure accuracy and prevent hallucinations, the orchestrator requires specific 'minimum inputs' for each phase, such as expected vs. actual results or specific evidence of failure before proposing a fix.

What are the four phases of the orchestration?

The skill manages four distinct stages: 1) Problem Definition (Define the issue), 2) Root Cause Analysis (Identify why it's happening), 3) Solution Design (Plan the fix), and 4) Execution (Implement and verify).

How do I trigger the Bug Fix Orchestrator?

You can start the process by using commands like 'Start bug fix orchestrator' or 'Start BUG 修复总控'. You can also directly invoke specific phases like 'Find the cause' or 'Start execution'.

How does this skill save tokens during long debugging sessions?

Unlike standard AI interactions that might repeat the entire context, this skill only outputs the template and result for the current active stage, keeping the conversation history concise and relevant.

Bug Fix Orchestrator

Name: Bug Fix Orchestrator
Author: xiaxingxiaowei1983

byxiaxingxiaowei1983

0•

생산성 및 워크플로

Orchestrates the end-to-end debugging process by intelligently routing users through problem definition, root cause analysis, solution design, and execution.

The Bug Fix Orchestrator is a specialized routing agent designed to streamline the debugging lifecycle within Claude Code. It acts as a workflow manager for technical issues, intelligently determining which stage of the fix—Defining, Investigating, Planning, or Executing—a user is currently in based on their input. By enforcing 'minimum required inputs' for each stage and focusing output only on the relevant phase, it significantly reduces token consumption while ensuring that bug fixes are grounded in evidence, follow a rigorous path, and include necessary rollback strategies.

주요 기능

010 GitHub stars

02Minimum required input validation to ensure evidence-based debugging

03Intelligent phase routing based on input quality and missing context

04Token-efficient output that only provides the current necessary phase

05Support for stage regression when current evidence is insufficient to proceed

06Four-stage framework: Problem Definition, Root Cause Analysis, Solution Design, and Execution

사용 사례

01Standardizing team debugging workflows to ensure consistency in problem reporting and fix implementation

02Resolving complex, intermittent bugs that require rigorous evidence-based investigation

03Managing high-risk production fixes where detailed solution design and rollback plans are critical

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xiaxingxiaowei1983/ai bug-fix-orchestrator

For use in Claude.ai and ChatGPT

주요 기능

010 GitHub stars

02Minimum required input validation to ensure evidence-based debugging

03Intelligent phase routing based on input quality and missing context

04Token-efficient output that only provides the current necessary phase

05Support for stage regression when current evidence is insufficient to proceed

06Four-stage framework: Problem Definition, Root Cause Analysis, Solution Design, and Execution

사용 사례

01Standardizing team debugging workflows to ensure consistency in problem reporting and fix implementation

02Resolving complex, intermittent bugs that require rigorous evidence-based investigation

03Managing high-risk production fixes where detailed solution design and rollback plans are critical