Generate weekly review reports from archived data and task trends.
npx skills add https://github.com/picsky/flowos --skill weekly-review-picsky
Please help me install this Agent Skill. Skill: weekly-review Source: https://github.com/picsky/flowos/tree/main/templates/skills/weekly-review Command: npx skills add https://github.com/picsky/flowos --skill weekly-review-picsky
Prevents weekly review from becoming a low-value, memory-based exercise by transforming fragmented daily/task/energy records into actionable patterns and insights.
Ask for a weekly review by saying “this week how was it” so the system summarizes your last 7 days, updates your insights, and generates a short weekly report with up to two concrete adjustments.
High-intent search queries and answers about installing and using this skill.
A weekly review transforms fragmented daily records and energy logs into actionable insights by analyzing task completion trends, energy distribution, and postponement patterns to identify root causes and generate concrete next steps.
Yes, weekly review applies to Sunday 20:00 cron triggers, automatically reading archived data and task status to update your insights model and generate a weekly report without manual intervention.
When inputs are insufficient, weekly review applies data-driven downgrade behavior to process whatever data is available, still generating outputs and updating insights without failing or requiring complete daily logs.
Plan vs actual reconciliation compares your weekly commitments against actual task outcomes, analyzing completion trends and time allocation to explain why results happened and updating your commitment checklist accordingly.
No, the human-in-the-loop co-review presents a data-backed factual summary and asks guided questions, but it still produces outputs and updates your insights even if you skip the responses entirely.
Memory-based weekly reflection often fails because it lacks data; weekly review solves this by reading archived energy trends and task status to extract behavior insights and root causes, writing them to your insights file.
nateaDetect patterns in productivity, habits, energy, and behaviors from logs and calendars.
plurigridCompute quality gradients from metrics to identify optimization focus areas.
hemoryReview daily accomplishments, weekly progress, and plan next-day priorities.
picskyRecord user corrections and preferences into long-term rule files.
