agentleFS
BrightGold70BrightGold70/skills/git-master/SKILL.md

git-master

Skill1 starsChanged 3 days agoNo licenceView on GitHub

Expert git operations including commits, branches, merging, rebasing, history analysis, and troubleshooting. Use for any git operations, history search, or resolving merge conflicts.

  • Commits and pushes

14 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use remove-ai-slops, ultrawork and 7 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • DevNewbie1826Skill

    remove-ai-slops

    Remove AI-generated code slop from branch changes or an explicit file list while preserving behavior, including junk tests (prose pins, source greps, copied inventories, mock echoes), each proven by its class rule before a cut. Use when asked to remove slop, clean AI code, deslop, clean up generated code, strip slop, prune junk tests, or review generated-code cleanup. Start by locking behavior with regression tests, then use the category and workflow references.

    Also in 4 projects that use this

  • zephyrpersonalSkill

    ultrawork

    Obsessive task completion mode (Sisyphus Mode) - activates maximum intensity work with todo continuation enforcement

    Also in 4 projects that use this

  • ibahgatSkill

    ralplan

    Create a strict, quality-first execution plan with explicit gates and rollback-ready sequencing.

    Also in 3 projects that use this

  • klauswgSkill

    deep-interview

    在明确批准执行之前,通过数学化歧义门控进行苏格拉底式深度访谈

    Also in 3 projects that use this

  • nicepkgSkill

    team

    根据任务快速组建临时 AI Agent 团队协作。自动从 .claude/agents/ 中选择最合适的成员组队。

    Also in 3 projects that use this

  • BlockSkill

    debugging

    Debugging guidelines and best practices

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.