identifying-your-significant-git-contributions

原文涵盖的主题

• Git contribution significance
• Requirements
• Bundled scripts
• Workflow
• 1. Check dependencies
• 2. Get the repository
• 3. Identify the author
• 4. Choose the history to analyse

Finds an author's most significant contributions to a git repository and, optionally, writes them up as STAR stories. The host must have all three; check them in step 1 and stop if any is missing. | Dependency | Version | Used by | |---|---|---| | git | 2.31 or newer (needs --diff-merges) | gitcontributionscsv.py | | python3 on PATH | 3.8 or newer | both scripts | | pandas | 1.x or newer, importable from python3 | rankcontributions.py | Both live in ${CLAUDESKILLDIR}/scripts/. Below, $PY means python3 (or the interpreter the user names in step 1). gitcontributionscsv.py: writes one CSV row per commit (about 125 columns): message text verbatim, size, spread, file categories, history context, reverts and percentiles. Standard library only. Run --help for options. rankcontributions.py: filters noise, recomputes percentiles and writes the top 20 commits for each of 11 rankings, plus the composite score, appearances list and summary.md. Needs pandas. Run --help for options. All output goes in an output directory, , chosen in step 5. It is never inside the analysed repository. Work through these steps in order. Steps 2–4 are interactive: ask with the AskUserQuestion tool when it is avail

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