daily-review

Automate daily work reviews by processing structured JSON input containing date, workspaces, and globalStats. The skill analyzes yesterday's conversations and usage data to generate a concise per-workspace report with key points, missed items, and actionable improvements.

Yes, you can generate AI insights across multiple workspaces. The skill applies cross-workspace analysis to aggregate usage data, summarize key conversation points, and provide time distribution and resource allocation insights in a single report.

Summarize missed items and key points by feeding structured JSON conversation data into the analyzer. It automatically extracts and abstracts critical dialogue conclusions and missed tasks, translating them into actionable improvement plans.

Yes, structured JSON input is required to generate a daily review report. You must provide data structured with fields for date, workspaces, and globalStats to ensure accurate AI insights and actionable guidance output.

Track time distribution and resource allocation by aggregating usage data within the structured JSON input. The skill automatically cross-analyzes globalStats and workspace data to provide clear insights into your resource patterns.

Yes, daily review works completely standalone without external dependencies or components. It processes your structured JSON conversation and usage data internally to output clear per-workspace reports and improvement recommendations.