Convert structured daily work JSON into a markdown retrospective report.
npx skills add https://github.com/SpaceZephyr/myskill --skill daily-review-spacezephyr
Please help me install this Agent Skill. Skill: daily-review Source: https://github.com/SpaceZephyr/myskill/tree/main/daily-review Command: npx skills add https://github.com/SpaceZephyr/myskill --skill daily-review-spacezephyr
This Skill turns structured daily work data into a clear retrospective, helping users quickly understand what happened yesterday, what needs follow-up, and where time was spent.
Provide yesterday's work summary data as structured JSON and ask for a concise markdown review report with insights, follow-ups, and cross-project observations.
High-intent search queries and answers about installing and using this skill.
To generate a daily review report, provide your structured daily work data as JSON, including dates, workspaces, and global statistics. The system then transforms this input into a concise markdown summary with actionable insights and missed-item detection.
Cross-project productivity analysis evaluates your time distribution and shared technical themes across multiple workspaces. It identifies whether your workflow focuses on debugging, building, or planning, and highlights missed priorities to improve overall efficiency.
Yes, you can analyze token consumption and model usage by including usage statistics in your JSON input. The system evaluates these metrics to spot inefficiencies, unusual patterns, and tool usage within your daily work records.
Detecting unfinished discussions requires feeding workspace conversation summaries into the system. It automatically extracts unresolved threads and missed items, providing specific follow-up recommendations in the resulting markdown retrospective.
The best way to structure JSON for a work summary retrospective is to include date, workspaces, and global statistics. This structured format allows the system to accurately parse project-specific discussions and generate cross-project observations.
Daily review reporting requires global statistics within the JSON input to summarize overall work patterns. Without these metrics, the system cannot accurately evaluate time distribution or generate comprehensive cross-project insights.
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