conversation-analyzer

Conversation analyzer identifies usage patterns across your last 200 conversations, detecting repetitive requests, common mistakes, and inefficiencies. It surfaces specific automation opportunities—like frequently-used commands or scripts—with actionable recommendations to streamline your workflow and reduce back-and-forth interactions.

The analyzer examines request types, active projects, time-of-day trends, and request distribution to show which projects consume the most effort, when you're most productive, and where bottlenecks occur. This reveals both high-impact projects and repetitive low-value tasks ripe for automation.

Yes. Conversation analyzer processes Claude Code conversation history directly, extracting structured data from the last 200 conversations across all your projects and timestamps. No data export or preprocessing is required—it reads your native conversation records.

The report provides a structured analysis covering request type distribution, project activity metrics, time-based trends, documented mistakes, and concrete optimization recommendations. You get both diagnostic insights and actionable next steps to improve efficiency.

Conversation analyzer examines your most recent 200 conversations, ensuring the patterns and recommendations reflect your current workflow. This scope captures recent trends and active projects without requiring manual filtering or date selection.