Will it overwrite my previous analysis?

No, the skill includes built-in safety checks that prompt for user confirmation before updating or merging with any existing insights files.

Where are the generated insights stored?

Insights are saved as JSON files in your local session summaries directory and can be synced to a memory server for easy retrieval via semantic search.

What does the Session Insights skill do?

It analyzes your Claude Code conversation history to create structured summaries, track what you accomplished, and save learnings for future reference.

Does it require a specific AI model?

Yes, it is specifically optimized to use Gemini Flash 2.0 via the MCP Gemini tool for fast and cost-effective processing of large transcripts.

Can I process multiple sessions at once?

Yes, the skill includes a batch mode that automatically identifies and processes up to five recent sessions that have transcripts but no existing insights.

Session Insights for Claude Code

Name: Session Insights for Claude Code
Author: nicsuzor

bynicsuzor

0•

분석 및 모니터링

Analyzes Claude Code session transcripts to extract structured insights, summaries, and learning observations using Gemini Flash 2.0.

Session Insights is a specialized post-hoc analysis tool that transforms raw Claude Code session transcripts into actionable, structured data. By leveraging Gemini Flash 2.0, it automatically identifies key accomplishments, detects context gaps, and captures learning observations to improve future AI interactions. The skill integrates seamlessly with the academicOps framework, syncing critical insights to a memory server for semantic search while maintaining a detailed JSON history for auditing, trend analysis, and workflow optimization.

주요 기능

01Automated transcript analysis using Gemini 2.0 Flash for speed and cost-efficiency

02Extraction of structured metadata including summaries, accomplishments, and user satisfaction

03Robust validation and merge logic to ensure data integrity without overwriting existing insights

04Batch processing mode to analyze and summarize multiple previous sessions automatically

050 GitHub stars

06Seamless integration with MCP memory servers for semantic search of past session learnings

사용 사례

01Post-sprint auditing to track project progress and developer-AI performance metrics

02Identifying recurring friction points in developer workflows to refine AI system prompts

03Building a searchable long-term memory of technical decisions and project context across sessions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nicsuzor/academicops session-insights

For use in Claude.ai and ChatGPT

Download Skill