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RonnasaydRonnasayd/aipp/skills/everything-claude-code/deployment-patterns/SKILL.md

deployment-patterns

Skill1 starsChanged 33 days agoNo licenceView on GitHub

Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. Use when setting up CI/CD, containerizing an app, or checking production readiness before a release.

  • Reads credentials
  • Installs packages

33 other projects use a version of this, 27 of them edited.

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Projects with it also use ralphinho-rfc-pipeline, nuxt4-patterns and 8 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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  • TironFoxSkill

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    Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.

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  • TironFoxSkill

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    Also in 5 projects that use this

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    PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Always activate when the user is writing PyTorch models or training scripts, reviewing deep learning code, debugging training loops or data pipelines, optimizing GPU memory or training speed, setting up reproducible experiments, implementing transfer learning or fine-tuning, or asks anything about nn.Module, DataLoader, autograd, AMP, or torch.compile.

    Also in 13 projects that use this

The file

We split this skill into the rules it gives an agent

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

  • 2

    Common

    Most of the 29 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 0

    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 29 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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