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BerryKuipers
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fetch-github-issue-analysis

Fetch GitHub issue data and AI analysis comments into structured JSON.

7|3|Updated Oct 23, 2025
Search Tags:#architecture#software development#github#project planning#engineering#ai analysis#issue
One-click install
npx skills add https://github.com/BerryKuipers/claude-code-toolkit --skill fetch-github-issue-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fetch-github-issue-analysis
Source: https://github.com/BerryKuipers/claude-code-toolkit/tree/main/.claude/skills/github-integration/fetch-issue-analysis
Command: npx skills add https://github.com/BerryKuipers/claude-code-toolkit --skill fetch-github-issue-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh CLI, jq, grep, sed.

What problem does it solve?

Manually gathering all relevant GitHub issue details and any associated AI analysis for project planning is time-consuming and can lead to overlooked insights. This Skill automates the retrieval and structuring of this information.

Core Features & Use Cases

  • Comprehensive Issue Data: Fetches basic issue data including title, body, labels, and state.
  • AI Analysis Detection: Checks for an "ai-analyzed" label and retrieves AI-generated analysis comments from the github-actions[bot].
  • Structured AI Insights: Extracts key sections from AI analysis (e.g., architectural alignment, implementation suggestions, testing strategy) for easy consumption.
  • Use Case: As the first step in a conductor workflow, use this Skill to quickly get a full overview of a GitHub issue, including AI-powered architectural and implementation guidance, to accelerate planning.

Quick Start

Fetch GitHub issue #137 and its AI analysis

fetch-github-issue-analysis 137

Output:

{

"status": "success",

"issue": {

"number": 137,

"title": "Add user dark mode preference toggle",

"state": "open",

"labels": ["feature", "frontend", "ai-analyzed"]

},

"aiAnalysis": {

"found": true,

"architecturalAlignment": "Aligns with React Context patterns...",

"technicalFeasibility": "High - uses existing React patterns..."

}

}

Frequently Asked Questions about fetch-github-issue-analysis

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

FAQPage Schema
How do I extract GitHub issue details and AI analysis comments for project planning?▼

This Skill fetches GitHub issue data including title, body, labels, and state, then retrieves AI-generated analysis comments from the github-actions bot. It parses AI sections like architectural alignment, technical feasibility, and implementation suggestions into structured JSON, enabling rapid planning without manual gathering.

Can I automatically detect and retrieve AI analysis from GitHub issues?▼

Yes. The Skill checks for an 'ai-analyzed' label on issues and extracts AI analysis comments from the github-actions bot account. It parses key sections such as architecturalAlignment, technicalFeasibility, implementationSuggestions, filesAffected, and testingStrategy into a structured payload.

What does the Skill do in a conductor workflow for issue discovery?▼

It serves as Phase 1 for issue discovery and planning, handling parameter validation, issue field extraction, AI analysis detection, content parsing, and returning a JSON object with issue metadata and detailed AI-derived architectural insights to accelerate planning decisions.

Do I need GitHub CLI and command-line tools to use this Skill?▼

Yes. The Skill depends on gh CLI, jq, grep, and sed. These tools retrieve issue data from GitHub, parse JSON responses, and extract AI analysis sections from issue comments.

Can I use this Skill to validate issues before implementation work begins?▼

Yes. Beyond fetching issue data, the Skill supports issue validation and extraction of AI-derived architectural insights. It returns filesAffected and testingStrategy sections to guide implementation scope and validation planning.

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