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AWSKnown publisheraws/aws-graviton-getting-started/tools/skills/languages/python-x86-to-graviton/SKILL.md

python-x86-to-graviton

Skill1.1k starsChanged 11 days agoLicence not identifiedView on GitHub

Validates Python application compatibility with AWS Graviton (ARM64) architecture by verifying that every pinned dependency (including transitive) publishes an aarch64 wheel for the project's interpreter, and by checking native extensions, vendored binaries, hash-locked requirements, Dockerfiles and architecture-specific code. Performs static analysis, applies ARM64-required dependency and build fixes, documents Graviton runtime recommendations, and validates install, import, tests and startup on ARM64. Supports pip, pip-tools, PEP 621/setuptools, uv, Poetry and conda, with mappings for Pipenv, PDM, Hatch and vendored or Lambda layer layouts. Use whenever a Python workload is to run on Graviton (arm64), to assess or migrate it, even if the skill is not named; also for diagnosing wheel and native-library failures on aarch64.

  • Installs packages

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Mentions a month of the aws/aws-graviton-getting-started repository that our weekly crawl found. There is no adoption data for this file yet.

Who's talking about aws/aws-graviton-getting-started

The biggest 5 of 38 mentions linking to the repository that our crawl found. Each line is their own headline.

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Talked about on GitHub, Hacker News and Stack Overflow (38 times).

On GitHub · 36

31 more on GitHub

On Hacker News · 1

On Stack Overflow · 1

The file

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We split this skill into the rules it gives an agent

13 rules. About 0 are common, 10 are distinctive, and 3 are very specific to this project.

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    Common · estimate

    Many files like this have a rule of this kind.

  • ≈10

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    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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