agentleFS
meaningfy-wsmeaningfy-ws/skillery/skills/modelling-conventions/SKILL.md

modelling-conventions

Skill2 starsChanged 17 days agoGPL-3.0View on GitHub

The shared, representation-agnostic modelling craft reused across the modelling skills — naming discipline, modelling anti-patterns, and the guardrails a modeller follows while working, plus the two load-bearing principles (decouple attributes into reusable first-class properties; identify everything by a stable URI, implicit by default). Use when authoring or reviewing ANY model regardless of representation (conceptual, UML, LinkML, ontology). Trigger on "modelling conventions", "naming conventions for a model", "modelling anti-patterns", "reusable properties/slots", "should this attribute be shared", "URI/identity discipline", "review this model for smells". This is the cosmic-python-style reuse layer for modelling — cited by conceptual-modelling and linkml-engineering, never restated by them.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

Licensed with conditions — 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.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

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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.