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annatchijovaannatchijova/SKILLS/language-selection/SKILL.md

language-selection

Skill9 starsChanged 4 months agoLicence not identifiedView on GitHub

Select programming languages, DSLs, query languages, policy languages, proof systems, or runtimes from the concrete forces of the problem rather than from model familiarity or the human's prior exposure. Use whenever new code must be written and the language is not already fixed: scripts, tools, services, parsers, deterministic cores, security components, smart contracts, queries, data pipelines, scientific code, infrastructure, embedded software, kernels, CLIs, prototypes, or agent-generated implementations. Also use when comparing languages, reconsidering an existing component's language, or deciding whether a system should be polyglot. In an agentic workflow the model — not the human — is responsible for surfacing the right candidates, including ones the human has never used; the human's job is to own the trade-off, not to have memorized the option space.

1 other project uses a version of this.

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The file

We split this skill into the rules it gives an agent

8 rules. About 0 are common, 8 are distinctive, and 0 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.

  • 0

    Very specific

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

The licence could not be identified — 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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