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Found 471 Skills
현재 git 상태를 분석하고 GitHub Flow 기준으로 다음 단계를 안내합니다. "다음에 뭐 해야 돼?", "워크플로우", "git 흐름" 같은 질문에 사용됩니다.
Clean up local branches after PR merges. Syncs main with origin, identifies branches with merged PRs, and proposes safe deletion. Use when the user asks to 'clean up branches', 'delete merged branches', 'sync branches', or mentions branch cleanup.
Use when squash-merging a feature branch into main for linear history. Handles pre-flight checks, squash merge, commit delegation to commit, and branch cleanup.
Advanced git workflows including worktrees, bisect, interactive rebase, hooks, and recovery techniques
This skill should be used when the user asks to "commit and push", "commit push", "sync changes", "push changes", "commit and sync", or "update remote". Handles the full workflow of committing changes, pulling with rebase, and pushing to remote.
Advanced git operations including complex rebase strategies, interactive staging, commit surgery, and history manipulation. Use when user needs to perform complex git operations like rewriting history or advanced merging.
Use when managing branches and PRs with the Graphite CLI (gt). Covers creating stacked PRs, modifying mid-stack, submitting, syncing, and resolving conflicts.
Create GitHub PRs with structured title and body. Use when: opening PRs, creating pull requests after pushing. Triggers: /git-pr-create, create PR, open pull request.
Use when the user asks to create a pull request, open a PR, submit changes for review, or says "/pr". Validates branch state, analyzes all commits since divergence from base, runs pre-PR quality checks, generates structured PR title and body with summary/test-plan/breaking-changes sections, pushes branch, and creates the PR via GitHub CLI (gh). Supports draft PRs, reviewer assignment, and label attachment.
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.
This skill should be used when the user asks to "run autoresearch", "optimize X in a loop", "set up autonomous experiments", "start autoresearch", "optimize X overnight", or "experiment loop". Sets up and runs an autonomous experiment loop for any optimization target.
Create a pull request for the current branch in the current repository.