perf-findings-to-issues

Create GitHub issues from Performance Analyzer JSON exports grouped by category.

1|1|Updated Dec 1, 2025
One-click install
npx skills add https://github.com/sipherxyz/universal-ue-skills --skill perf-findings-to-issues-sipherxyz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: perf-findings-to-issues
Source: https://github.com/sipherxyz/universal-ue-skills/tree/main/skills/perf-findings-to-issues
Command: npx skills add https://github.com/sipherxyz/universal-ue-skills --skill perf-findings-to-issues-sipherxyz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of GitHub issues from Performance Analyzer findings, streamlining the process of addressing performance bottlenecks in game development.

Core Features & Use Cases

  • Automated Issue Creation: Generates GitHub issues directly from exported Performance Analyzer JSON data.
  • Categorized Grouping: Groups findings by category to create batched issues.
  • Structured Issue Content: Populates issues with detailed findings, recommendations, and acceptance criteria.
  • Use Case: After running a performance analysis in Unreal Engine, export the findings to JSON. Use this Skill to automatically create actionable GitHub issues for each performance category, complete with relevant details and labels, ready for the engineering team.

Quick Start

Use the perf-findings-to-issues skill to create GitHub issues from the Performance Analyzer export at: /path/to/findings.json

Frequently Asked Questions about perf-findings-to-issues

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

FAQPage Schema
How do I create GitHub issues from Unreal Engine performance analyzer findings?

To create GitHub issues from Unreal Engine performance analyzer findings, use this Skill to parse the exported JSON data. It groups findings by category and populates each issue with detailed analysis, recommendations, and acceptance criteria for the engineering team.

Do I need the gh CLI to automate creating GitHub issues from performance findings?

Yes, you need the gh CLI to automate creating GitHub issues from performance findings. This Skill requires the gh CLI for issue creation and project board integration, specifically supporting Windows environments to manage the workflow from raw performance data to actionable tasks.

Can I group performance findings by category when exporting them to GitHub issues?

You can group performance findings by category when exporting them to GitHub issues. The Skill parses your Performance Analyzer JSON export and automatically batches findings into categorized GitHub issues, complete with relevant details and labels for structured development tracking.

What is the best way to automate turning raw performance data into actionable development tasks?

The best way to automate turning raw performance data into actionable development tasks is using this Skill to process Performance Analyzer JSON exports. It converts exported findings into structured GitHub issues populated with detailed analysis, recommendations, and acceptance criteria.

Does this workflow support adding acceptance criteria and recommendations to automated GitHub issues?

Yes, this workflow supports adding acceptance criteria and recommendations to automated GitHub issues. The Skill populates each generated issue from the Performance Analyzer JSON export with detailed findings, recommendations, and acceptance criteria to ensure tasks are clearly defined.