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replicate

Use when running, packaging, deploying or scaling a model on the Replicate platform from code — blocking run versus async predictions, handling FileOutput, deployments with warm private endpoints and autoscaling, packaging with Cog, verifying webhook signatures, and cutting GPU spend. NOT crafting image prompts and parameters or picking image model families (that is `replicate-images`).

skills/replicate/SKILL.md

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Nov 4, 2026
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MIT

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# Replicate platform operations

This skill is about **how a model runs in production on Replicate** — clients, async, deployments,
Cog packaging, webhooks, scaling, and spend. It is the platform-engineering counterpart to image
prompt craft. If the question is *what prompt, aspect ratio, or model family produces a good image*,
that is `replicate-images`, not this skill. Here the mental model is: **a prediction is a job. You
either wait for it, poll it, or get pinged about it — and where it runs (shared cold pool vs a private
warm deployment) is a cost-and-latency dial you set deliberately.**

Pinned facts (verified 2026-06-02): Python client `replicate` 1.x (latest 1.0.7), Python 3.8+;
JS client `replicate` on npm; auth via `REPLICATE_API_TOKEN`. A `2.0.0aN` alpha exists on PyPI but
is NOT the default — pin `replicate>=1,<2` so a fresh install never silently pulls it.

## Decision: how should this model run?