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adrozdenko
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retrospective

Generate retrospective reports from Soleri session metrics and plan outcomes.

6|3|Updated Feb 24, 2026
Search Tags:#retrospective#data analysis#continuous improvement#sprint review#learning report#செயல்பாடு
One-click install
npx skills add https://github.com/adrozdenko/soleri --skill retrospective-adrozdenko
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: retrospective
Source: https://github.com/adrozdenko/soleri/tree/main/agents/salvador-filetree/skills/retrospective
Command: npx skills add https://github.com/adrozdenko/soleri --skill retrospective-adrozdenko

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the generation of data-driven retrospective reports, eliminating the need for manual data compilation and analysis at the end of sprints or work periods.

Core Features & Use Cases

  • Automated Data Gathering: Collects metrics from various Soleri components like brain stats, vault captures, and plan outcomes.
  • Pattern Analysis: Identifies strong patterns, recurring anti-patterns, and knowledge gaps.
  • Actionable Insights: Presents findings in a structured report with clear recommendations.
  • Use Case: At the end of a two-week sprint, ask for a "sprint retro" to get a comprehensive report on what went well, what didn't, and specific actions to improve for the next sprint, all based on your actual project data.

Quick Start

Generate a retrospective report for the last week.

Frequently Asked Questions about retrospective

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

FAQPage Schema
How do I generate a data-driven sprint retrospective report?▼

Generate a data-driven sprint retrospective by aggregating metrics from AI session data, brain statistics, vault captures, and plan outcomes to analyze patterns and surface actionable insights for continuous improvement.

What is automated sprint review analysis and how does it work?▼

Automated sprint review analysis collects operational data from Soleri components to identify strong patterns, recurring anti-patterns, and knowledge gaps, presenting findings in a structured report with clear recommendations.

Can I use retrospective analysis for continuous improvement over a specific time period?▼

Yes, you can request a retrospective report for a specific time period like a two-week sprint to comprehensively review what went well, what failed, and specific actions to improve for the next cycle.

Do I need access to Soleri's internal operational data to run a learning report?▼

Yes, generating a learning report requires access to Soleri's internal operational data and analytical tools to aggregate brain statistics, vault captures, plan outcomes, and memory topics.

What's the best way to identify recurring anti-patterns and knowledge gaps after a sprint?▼

The best way to identify anti-patterns and knowledge gaps is running an automated retrospective that analyzes your actual project data to detect recurring weaknesses and generate actionable improvement recommendations.

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