Evaluate git branch decision-making and output a JSON summary with metrics.
npx skills add https://github.com/qmu/workaholic --skill analyze-performance
Please help me install this Agent Skill. Skill: analyze-performance Source: https://github.com/qmu/workaholic/tree/main/plugins/core/skills/analyze-performance Command: npx skills add https://github.com/qmu/workaholic --skill analyze-performance
This Skill provides a structured framework to evaluate the quality of a development branch's decision-making by analyzing commit activity and timing to produce actionable metrics and insights.
Run the evaluation against a base branch to generate a JSON summary: bash sh/calculate.sh <base-branch>.
High-intent search queries and answers about installing and using this skill.
Branch decision-making quality is evaluated by analyzing commits, timings, and velocity to quantify consistency, intuitivity, describability, agility, and density, outputting a JSON summary with qualitative ratings and evidence for each dimension.
Development velocity metrics are calculated from git commit history to return total commits, start and end times, duration in hours and days, and the specific velocity unit within a structured JSON summary output.
Generate a performance analysis report by running the evaluation script against a specified base branch, which processes git history to produce a JSON summary detailing commit counts, durations, velocity, and qualitative dimension ratings.
Git history analysis is ideal for sprint retrospectives and post-merge reviews, providing a structured framework to evaluate branching strategies and decision-making quality through quantified metrics and five-dimensional qualitative ratings.
Analyzing development branch consistency evaluates five dimensions: consistency, intuitivity, describability, agility, and density, delivering specific ratings and brief evidence based on commit activity and work pacing timings.
TakSungTrack Git repository changes and summarize status, commits, and diffs.
tygwanControl sprint lifecycles and track velocity and burndown metrics.
lmanchuParse Git commit history to calculate development metrics and identify weekly trends.
sumilee-pcuCorrelate git commit history with planned tasks to generate structured retrospective reports.
