Generate engineering retrospective reports from Git commit history and code metrics.
npx skills add https://github.com/JacksonZx535/kingsight --skill retro-jacksonzx535
Please help me install this Agent Skill. Skill: retro Source: https://github.com/JacksonZx535/kingsight/tree/main/retro Command: npx skills add https://github.com/JacksonZx535/kingsight --skill retro-jacksonzx535
This Skill provides a comprehensive weekly engineering retrospective, analyzing commit history, work patterns, and code quality metrics, enabling teams to gain insights and improve their workflow.
Run the /retro command to generate a retrospective report for the last 7 days.
High-intent search queries and answers about installing and using this skill.
Generate a weekly engineering retrospective by running the `/retro` command, which uses Git commands to fetch and analyze commit history. The resulting report calculates total commits, author contributions, and test coverage ratio for the specified time window.
A Git retrospective report includes code quality metrics such as lines of code, test coverage ratio, and commit type distribution. These metrics assess code health and identify improvement opportunities within the development workflow.
Yes, you can visualize work patterns and code hotspots from repository commit data. The retrospective report includes visualizations of time and session patterns, commit type breakdowns, and identifies codebase hotspots for the analyzed time window.
No specific external dependencies are required for retrospective analysis. The skill operates using built-in Git commands to fetch and analyze repository commit history, requiring only access to the repository's commit data.
Track team contributions and identify top contributors by generating a retrospective report that analyzes commits within a specified time window. The report calculates contributions per author, highlights achievements, and provides constructive feedback for improvement opportunities.
The best way to measure developer work patterns and session distribution is by analyzing commit history over a specified time window. This generates visualizations of time and session patterns, revealing workflow trends and codebase hotspots for team awareness.
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