Automate post-action analysis by correlating data from HISTORY.md and COP.md.
npx skills add https://github.com/dabrewskie/owens-lifeos --skill aar-dabrewskie
Please help me install this Agent Skill. Skill: aar Source: https://github.com/dabrewskie/owens-lifeos/tree/main/skills/_archive/aar Command: npx skills add https://github.com/dabrewskie/owens-lifeos --skill aar-dabrewskie
Automates structured post-action analysis to identify lessons learned and feed improvements back into Life OS, reducing repeating mistakes and strengthening decision-making.
Trigger an AAR for the current period to generate lessons learned and system improvement recommendations.
High-intent search queries and answers about installing and using this skill.
Automate post-action analysis by orchestrating data gathering from HISTORY.md, COP.md, and morning sweep archives to compare planned versus actual performance. This structured workflow identifies recurring issues and logs actionable insights back into your system.
Detect repeating mistakes by comparing planned tasks against actual outcomes using multi-source data correlation. The analysis pulls from EOD closes and history logs to identify recurring patterns and suggests improvements for future execution cycles.
Pattern detection works by correlating data across your morning sweeps, EOD closes, and existing history logs. It identifies recurring issues from these sources and automatically records the extracted lessons directly into HISTORY.md and related domain logs.
Yes, you can synchronize cross-domain changes by feeding identified lessons directly into COP.md. The analysis compares plans against outcomes and updates the common operating picture to ensure continuous system improvement across all domains.
You need morning sweep archives and EOD close data to run a comprehensive event-driven AAR. The analysis uses these sources alongside HISTORY.md and COP.md to accurately compare your initial plans against the final actual outcomes.
Structured post-action analysis suggests changes to domain execution flows to enable system improvement and prevent recurring issues. By comparing planned versus actual performance, it identifies actionable modifications for future tasks and domain skills.
marcromeynTrack cascading goals from 3-year vision to daily tasks.
m-xlseaRun a structured reflection checklist after each task to log lessons and surface patterns.
nateaOrchestrate Life OS integrations across Todoist, Gmail/Calendar, and WhatsApp.
TraftGGenerate a Markdown retrospective from sprint plans and git history.
