parse-ai-analysis

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"

}

}