legacy-screen-flow-analysis
Skill0 starsChanged 52 days agoNo licenceView on GitHub
Analyzes how a screen, page, or view in a legacy mobile codebase behaves between user arrival and stable render, then produces a structured markdown report covering the lifecycle sequence, state management, data fetching, business rules, and side effects. Defaults to Flutter/Dart conventions (StatefulWidget, initState, Provider/Bloc/Riverpod) but adapts to other mobile frameworks (Android/Kotlin, iOS/Swift, React Native) when told. Use when the user wants to understand, document, reverse-engineer, or map an existing screen's behavior before refactoring, migrating, or rewriting it in a new stack or language. Do not use for writing new features, fixing unrelated bugs, or general-purpose code review.
In this repository5 other files it gives its agents.
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- gitlab-mrSkill
The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 8 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
3
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 an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
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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.

