claude

deploy

AI Operations Team — Deploy: Model serving, inference APIs, blue/green deploys, rollback, and canary releases for production ML.

77 on GitHubby tonone-aiv1.20.0MITupdated 2 days ago
/

Plugin deploy from marketplace tonone-ai in tonone-ai/tonone. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (3)

  • deploy-canary

    Plan and execute canary releases for model updates — traffic splitting, rollback triggers, success metrics. Use when asked to "canary the new model", "roll out this model safely", or "set up a traffic split for a model update".

  • deploy-recon

    Audit current model deployment topology — serving config, latency profile, version inventory. Use when asked "what models are deployed", "audit our serving setup", or "inventory our model versions".

  • deploy-serve

    Design and configure model serving infrastructure — endpoint scaling, batching, GPU allocation. Use when asked to "serve this model", "design an inference endpoint", or "size GPU allocation for serving".

Subagents (1)

  • deploy

    Model deployment and serving — inference API design, blue/green rollouts, canary releases, rollback

View source on GitHub second.tonone.ai

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