gtr
claudeGit worktree management using git-worktree-runner for parallel branch development
1 skill · 10 commands
Explains code changes in detail - what was done and why. Uses explanatory style with educational insights.
Plugin explain-changes from marketplace vampik-plugins in vampik33/claude-plugins. Commands read from the repo's manifest — today.
explain-changesExplain git diffs and code changes with educational insights — what changed, why, and what it means. Use this skill whenever a user wants to understand recent modifications to their codebase, whether staged, unstaged, committed, or across branches. This is different from code review — it explains ch
/explain-changes:explainExplain code changes in detail - what was done and why
Git worktree management using git-worktree-runner for parallel branch development
1 skill · 10 commands
Telegram notifications for Claude Code sessions - send messages manually or automatically after periods of inactivity
1 skill · 1 command · hooks
Interactive CLAUDE.md generator and auditor - encodes best practices for writing effective Claude Code memory files
1 skill · 1 command
Rename plan files from random names to meaningful titles extracted from content
1 skill · 1 command
Prove review findings against the code and fix only the valid ones; `converge` repeats failing test, fix and independent review for up to three rounds, and a Stop hook keeps the loop from ending early
1 skill
When Jev judges the work big, writes a visual HTML summary (show-me style) and keeps it updated while the work goes on; /big-picture opens it in the default browser
Commands for git commit workflows including commit, push, and PR creation
3 commands
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
Advanced git workflows with diff analysis, risk scoring, and reviewer recommendations
2 skills · 1 command · 1 agent
Rewrite AI-sounding text so it reads like the writer without changing what it says.
1 skill
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
2 commands
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.
19 skills
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