Generates weekly engineering retrospectives from Git commit history and code metrics.
npx skills add https://github.com/Vinnni002/Sikshak --skill retro-vinnni002
Please help me install this Agent Skill. Skill: retro Source: https://github.com/Vinnni002/Sikshak/tree/main/.claude/skills/gstack/retro Command: npx skills add https://github.com/Vinnni002/Sikshak --skill retro-vinnni002
This Skill automates the generation of weekly engineering retrospectives, providing deep insights into team performance, code quality, and individual contributions.
/retro at the end of each week to get a comprehensive overview of your team's development velocity, identify bottlenecks, and celebrate successes.Run the retro skill to analyze the last 7 days of commits.
High-intent search queries and answers about installing and using this skill.
Automating engineering retrospectives involves analyzing Git commit history, work patterns, and code quality metrics to generate comprehensive weekly reports. The tool aggregates commit data to provide team-aware insights into per-person contributions and development velocity.
Tracking developer productivity through commit analysis involves parsing Git logs to measure individual contributions and identify growth areas. The tool performs time zone conversions and data aggregation to deliver persistent history and trend tracking for continuous team improvement.
Generating weekly code quality metrics is best handled by running a retrospective command at the end of each week. This automatically analyzes the last 7 days of commits, identifies bottlenecks, and highlights praise and growth areas for continuous improvement.
Yes, you can analyze individual developer contributions from a Git repository. The retrospective tool breaks down per-person commits and work patterns, utilizing Git commands and time zone conversions to provide detailed, team-aware insights into individual performance.
Automated retrospective reporting operates with no external dependencies. It relies solely on Git commands to gather commit history and work pattern data, performing time zone conversions and data aggregation directly to generate detailed reports.
Trend tracking for continuous improvement works by storing persistent history of weekly engineering retrospectives. By comparing aggregated commit data and code quality metrics over time, teams can visualize development velocity changes and track growth areas across iterations.
majedsiefalnasrInitialize a Git repository and create an initial commit.
bajajvinamrAnalyze commit history and work patterns to generate weekly engineering retrospectives.
Progery222Automate code quality verification, truth scoring, and rollback in CI/CD workflows.
AbyssCNAnalyze git history to generate engineering retrospective reports.