Research Document Analysis

About

This skill transforms dense technical documentation—such as Root Cause Analyses (RCAs), design documents, and project memos—into streamlined, actionable intelligence. It goes beyond simple summarization by critically evaluating the relevance of information, identifying definitive decisions and trade-offs, and highlighting specific technical constraints or specifications that impact current development. By filtering out exploratory rambling and superseded proposals, it ensures developers and stakeholders focus only on the most critical takeaways needed to guide implementation and avoid past mistakes.

Key Features

• Extracts specific technical configurations, API designs, and performance requirements
• Identifies non-obvious constraints and lessons learned from past incidents
• Evaluates document relevance based on temporal context and implementation status
• Distills critical decisions and rationale from complex technical narratives
• 1 GitHub stars
• Aggressively filters noise, redundant content, and outdated exploratory discussions

Use Cases

• Understanding technical trade-offs and rationale behind architectural decisions in legacy design docs
• Reviewing past Root Cause Analyses to prevent recurring bugs during new feature development
• Extracting actionable requirements and constraints from project memos and implementation notes