Generate team analytics retrospectives from notebooks, velocity, and reproducibility trends.
npx skills add https://github.com/tim-krausz/mlstack --skill retro-analysis
Please help me install this Agent Skill. Skill: retro-analysis Source: https://github.com/tim-krausz/mlstack/tree/main/retro-analysis Command: npx skills add https://github.com/tim-krausz/mlstack --skill retro-analysis
Analytics team retrospective. Analyzes analysis velocity, reproducibility rate, methodology quality, notebook production, and insight yield with persistent history and trend tracking. Team-aware: breaks down per-person contributions with praise and growth areas for data skills.
Use the /retro-analysis command to generate a retrospective for the current window.
High-intent search queries and answers about installing and using this skill.
To run an analytics retrospective, use the /retro-analysis command to generate a structured narrative and trend tables from your team's notebooks, velocity, and reproducibility data.
A data science team retrospective analyzes analysis velocity, reproducibility rate, methodology quality, notebook production, and insight yield, while tracking persistent trends over time.
Yes, the retrospective breaks down per-person contributions to enable peer praise and targeted growth planning for data skills across sprints, weeks, or custom windows.
Yes, generating a retrospective requires access to commit histories, notebook inventories, and analysis plans to accurately track improvements and output trend tables.
Tracking reproducibility rate alongside velocity identifies methodology bottlenecks, enabling targeted process improvements that boost overall team velocity and insight yield over time.
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gaiastudio-aiDisplay historical sprint velocity, estimate accuracy, and recurring findings.
