stock-fix-bug

Diagnose and fix software defects in the Stock Agents multi-agent architecture.

18|3|Updated Jul 5, 2026
One-click install
npx skills add https://github.com/hawx1993/stcok-buddy --skill stock-fix-bug
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stock-fix-bug
Source: https://github.com/hawx1993/stcok-buddy/tree/main/.claude/skills/stock-fix-bug
Command: npx skills add https://github.com/hawx1993/stcok-buddy --skill stock-fix-bug

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the challenge of maintaining complex multi-agent financial systems by providing a rigorous, repeatable framework for diagnosing and fixing bugs without introducing regressions or technical debt.

Core Features & Use Cases

  • Root Cause Analysis: Enforces a structured diagnostic process to identify the underlying source of errors rather than applying superficial patches.
  • Regression Prevention: Mandates the creation of verifiable self-checks or tests to ensure fixes are effective and remain stable over time.
  • Use Case: When an AnalysisAgent fails to correctly process a specific technical indicator, use this skill to isolate the data flow issue, implement a precise fix, and verify the correction against the existing test suite.

Quick Start

Use the stock-fix-bug skill to investigate and resolve the issue where the MACD indicator calculation returns incorrect values for the current session.

Frequently Asked Questions about stock-fix-bug

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

FAQPage Schema
How do I fix incorrect technical indicator calculations like MACD in a TypeScript multi-agent system?

Fix incorrect technical indicator calculations by isolating the data flow issue within the multi-agent architecture, applying a precise code modification, and verifying the correction against the existing test suite to ensure system integrity.

What is the best way to prevent regressions when debugging React and Electron financial applications?

Preventing regressions when debugging React and Electron financial applications requires mandating verifiable self-checks or tests after identifying the underlying root cause, ensuring fixes remain stable without introducing technical debt.

How do I perform root cause analysis on software defects in a Stock Agents architecture?

Perform root cause analysis on Stock Agents software defects by following a structured diagnostic process to identify the underlying source of errors precisely, rather than applying superficial patches to the financial data processing components.

Can I use this structured bug resolution methodology for data flow issues in AnalysisAgent components?

Yes, you can use this structured bug resolution methodology to isolate data flow issues when an AnalysisAgent fails to correctly process specific technical indicators, ensuring adherence to strict TypeScript and React development standards.

Why does applying superficial patches fail to maintain system integrity in financial data processing?

Applying superficial patches fails to maintain system integrity because it bypasses root cause analysis, leading to unresolved core errors and potential regressions in complex multi-agent financial systems, ultimately accumulating technical debt.

What are the limitations of debugging financial data components without a structured regression testing methodology?

Debugging financial data components without a structured regression testing methodology risks introducing new defects and technical debt, as fixes lack verifiable self-checks to ensure effectiveness and long-term stability across the multi-agent architecture.