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BerryKuipers
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parse-ai-analysis

Parse GitHub AI analysis comments into structured JSON sections.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sed, grep, jq.

What problem does it solve?

AI-generated issue analysis comments are often in free-form Markdown, making it difficult for automated systems to programmatically extract specific insights for workflow automation. This Skill structures that data.

Core Features & Use Cases

  • Section-Specific Extraction: Parses a given AI analysis comment text to extract distinct sections like Architectural Alignment, Technical Feasibility, Implementation Suggestions, and Testing Strategy.
  • Structured Data Output: Converts Markdown sections into easily consumable structured data (e.g., JSON arrays for affected files, numerical values for dependencies).
  • Workflow Integration: Provides structured insights directly to other agents (e.g., architect, implementation) for informed decision-making.
  • Use Case: After fetching a GitHub issue with AI analysis, use this Skill to automatically break down the AI's recommendations into actionable, structured data for automated planning and task delegation.

Quick Start

Parse an AI analysis comment (full text as input)

parse-ai-analysis "# AI Issue Analysis

Architectural Alignment

Aligns with VSA...

Estimated Complexity

Medium"

Output:

{

"status": "success",

"sections": {

"architecturalAlignment": "Aligns with VSA...",

"technicalFeasibility": "Not provided",

"implementationSuggestions": "Not provided",

"filesAffected": [],

"testingStrategy": "Not provided",

"dependencies": [],

"complexity": "Medium"

}

}

Frequently Asked Questions about parse-ai-analysis

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

FAQPage Schema
How do I extract structured data from AI-generated GitHub issue analysis comments?▼

Parse AI-generated issue comments to extract structured data by using this Skill to break down Markdown sections like Architectural Alignment, Technical Feasibility, Implementation Suggestions, Files Affected, Testing Strategy, Dependencies, and Estimated Complexity into JSON-formatted insights for automated workflow integration.

Can I automate the conversion of free-form Markdown AI analysis into structured JSON?▼

Yes. This Skill converts unstructured Markdown analysis comments into organized JSON objects with distinct sections, numeric complexity values, and array-formatted dependencies—enabling programmatic access to AI recommendations for downstream automation.

What sections does the Skill extract from AI issue analysis comments?▼

The Skill extracts seven sections: Architectural Alignment, Technical Feasibility, Implementation Suggestions, Files/Components Affected, Testing Strategy, Dependencies, and Estimated Complexity—each parsed into appropriate data types (strings, arrays, or enums) for structured consumption.

How do I integrate parsed AI analysis data into my development workflow?▼

After parsing AI analysis comments with this Skill, pass the structured JSON output directly to architect and implementation agents for informed decision-making, task delegation, and architecture planning without manual extraction.

Does this Skill work with GitHub issue comments that contain incomplete AI analysis sections?▼

Yes. The Skill gracefully handles missing sections by returning "Not provided" for absent analysis areas, while extracting and structuring all available sections into consumable JSON for workflow automation.

What are the prerequisites for using this Skill on GitHub issue analysis?▼

Fetch a GitHub issue containing AI-generated analysis comments first. The Skill requires full Markdown comment text as input and processes it during Phase 1 architecture planning to extract insights for team delegation.

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