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zephyrwang6
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daily-review

Analyze structured work history JSON to generate a daily review markdown report.

14|4|Updated Mar 31, 2026
Search Tags:#productivity#daily review#markdown report#conversation summary#work analysis#usage insights
One-click install
npx skills add https://github.com/zephyrwang6/allSkills --skill daily-review-zephyrwang6
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: daily-review
Source: https://github.com/zephyrwang6/allSkills/tree/main/daily-review
Command: npx skills add https://github.com/zephyrwang6/allSkills --skill daily-review-zephyrwang6

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps users quickly turn structured work logs and conversation history into a concise daily review, so they can understand what happened yesterday without manually reading everything.

Core Features & Use Cases

  • Global overview: Summarizes the overall work picture and how time was distributed across projects.
  • Workspace analysis: Reviews each active workspace for key discussion points, conclusions, missed follow-ups, and usage patterns.
  • Cross-project insights: Highlights shared themes, reusable experience, and whether time allocation or work modes look balanced.
  • Use case: A user uploads yesterday's JSON work data and gets a friendly markdown report with practical next-step suggestions.

Quick Start

把昨天的工作数据 JSON 发给这个 skill，让它输出一份包含全局概览、按工作区分析和跨项目洞察的每日工作回顾。

Frequently Asked Questions about daily-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a daily review report from conversation history and usage data?▼

To generate a daily review report, you input structured JSON work history containing date, workspace conversations, and usage statistics. The analysis produces a markdown summary with actionable insights, missed follow-ups, and cross-project patterns.

What is a daily work review and what data does it require?▼

A daily work review summarizes yesterday's activities to understand time distribution and work patterns. It requires JSON inputs containing dates, workspace conversations, token usage statistics, and global activity metrics to identify cross-project insights.

Can I analyze workspace activity and missed follow-ups across multiple projects?▼

Yes, you can analyze workspace activity across multiple projects. The review identifies key discussion points, conclusions, and missed follow-ups for each active workspace, while highlighting shared themes and reusable experience.

How do I get cross-project insights from token usage and model selection data?▼

You get cross-project insights by providing JSON usage statistics and model selection data. The analysis highlights whether your time allocation and work modes look balanced, generating practical next-step suggestions.

Does the daily review skill work without manually reading conversation logs?▼

Yes, the daily review skill works without manually reading conversation logs. It processes structured conversation summaries and workspace activity data to generate a concise markdown report, saving you from reading everything.

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