dt-fix

Apply optimization and QA findings to fix code issues.

Updated Jul 2, 2026
One-click install
npx skills add https://github.com/nseluga/os --skill dt-fix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dt-fix
Source: https://github.com/nseluga/os/tree/main/skills/dt-fix
Command: npx skills add https://github.com/nseluga/os --skill dt-fix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses efficiency, scalability, reliability, and security issues, as well as any logic bugs, from the Optimization Reviewer's findings, providing a comprehensive bug-fixing solution for development teams.

Core Features & Use Cases

  • Automated Bug Fixing: Applies Optimization Reviewer findings for efficiency, scalability, reliability, and security enhancements.
  • QA Test Analysis: Identifies and resolves QA test failures with specific instructions on logic bugs.
  • Code Modification: Directly edits code to address issues identified in QA reports and review reports.
  • Use Case: For a development team, after completing an Optimization Review and a QA test cycle, run this skill to fix all reported issues before moving forward with deployment.

Quick Start

Apply the fixes to the code using the dt-fix skill after reviewing the optimization and QA reports.

Frequently Asked Questions about dt-fix

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

FAQPage Schema
How do I automate bug fixing from QA test reports and optimization reviews?

Automate bug fixing by applying specific fix instructions from QA test reports and optimization reviews directly to your codebase, resolving efficiency, scalability, reliability, and security issues.

What is the best way to fix code scalability and reliability issues after a review?

Fix code scalability and reliability issues by processing optimization review findings to apply targeted code modifications, directly addressing identified vulnerabilities and performance bottlenecks.

Can I use automated code editing to resolve logic bugs identified in QA tests?

Yes, you can use automated code editing to resolve logic bugs by feeding QA test failure reports into the workflow, which generates specific fix instructions and modifies the relevant code.

Does this bug fixing workflow require direct access to the codebase?

Yes, this bug fixing workflow requires direct read and write access to the relevant codebase to accurately apply code modifications and resolve multiple review findings.

What types of issues can be resolved using post-optimal review code modifications?

Post-optimal review code modifications resolve efficiency, scalability, reliability, and security issues, as well as logic bugs identified during QA analysis and optimization reviews.

When should I run automated code fixes in the development workflow?

Run automated code fixes in the development workflow after completing an optimization review and QA test cycle, ensuring all reported issues are resolved before deployment.