agentleFS
JetBrainsKnown publisherJetBrains/skills/refactoring-code/SKILL.md

refactoring-code

Skill386 starsChanged 7 months agoNo licenceView on GitHub

Use when semantic refactoring is needed in Rider-supported solutions and projects, including .NET/C#, F#, VB, C++, Unity, Unreal Engine, XAML, Razor, and other GameDev or mixed-language projects. Trigger when edits must update declarations and usages across IDE-resolved references — rename symbols, move types or namespaces, safe-delete unused code, extract interface/base class/method, change signatures, or reorganize namespaces. Do not use for file-only moves, config keys, strings, comments, prose-only edits, generated output, or logic changes with unchanged names/signatures.

4 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 4 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    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 4 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.

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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.

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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.

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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.