By replicate
Discover, compare, and run AI models from Replicate's library in your editor using their API: search models, fetch metadata, create predictions, poll status, and retrieve outputs. Connect remotely to Replicate's MCP server for ML inference and AI tools.
npx claudepluginhub replicate/skills --plugin prompt-imagesPackage and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml", "BasePredictor", or "Cog container", and when referencing cog.run, github.com/replicate/cog, or github.com/replicate/cog-examples. Covers GPU and CUDA setup, pget for fast weight downloads, async predictors with continuous batching, streaming outputs, and cold-boot optimization for image, video, audio, and LLM models. For pushing built models to Replicate, see publish-models. For running existing models, see run-models.
Compare Replicate models by cost, speed, quality, and capabilities.
Find AI models on Replicate using search and curated collections.
Prompting techniques for AI image generation and editing models on Replicate. Use when writing prompts for image models or building image generation features.
Prompting techniques for AI video generation models on Replicate. Use when writing prompts for video models or building video generation features.
Push and publish custom AI models to Replicate, and set up CI/CD for releasing new model versions safely. Use when running cog push, deploying a model to Replicate, releasing a new version, validating a model with cog-safe-push before publishing, configuring a Replicate deployment, setting up GitHub Actions for model releases, or porting a community model to an official one. Trigger on phrases like "push a model to Replicate", "publish a model", "deploy a model", "release a new version", "cog push", "cog-safe-push", "model CI", "r8.im", or "schema compatibility", and when referencing github.com/replicate/cog-safe-push or github.com/replicate/model-ci-template. Covers cog push, the full cog-safe-push config (test cases, fuzz, deployment, official_model), GitHub Actions patterns, multi-model matrix pushes, and post-publish monitoring. Assumes you already have a working Cog project; see build-models if you need to package one first.
Run AI models on Replicate via predictions, webhooks, and streaming.
ML engineering plugin: Give your AI coding agent ML engineering superpowers.
Comprehensive Vertex AI integration plugin for building generative AI agents with Gemini, Vertex AI Studio, and production deployment on Google Cloud
Evaluate and compare ML model performance metrics
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure
Skills for the OpenRouter platform: TypeScript SDK, model discovery, pricing, image generation, and provider performance
Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub
External network access
Connects to servers outside your machine
Share bugs, ideas, or general feedback.
A collection of Agent Skills for building AI-powered apps with Replicate.
Skills included:
These skills work with any agent that supports the Agent Skills standard, including Claude Code, OpenCode, OpenAI Codex, and Pi.
npx skills add replicate/skills
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