[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-composio-replicate-automation":3,"mdc--lcr4qz-key":53,"related-repo-composio-replicate-automation":709,"related-org-composio-replicate-automation":795},{"slug":4,"name":5,"fn":6,"description":7,"org":8,"tags":13,"stars":28,"repoUrl":29,"updatedAt":30,"license":31,"forks":32,"topics":33,"repo":48,"sourceUrl":51,"mdContent":52},"replicate-automation","Replicate Automation","run and manage Replicate AI models","Automate Replicate AI model operations -- run predictions, upload files, inspect model schemas, list versions, and manage prediction history via the Composio MCP integration.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},"composio","Composio","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fcomposio.png","ComposioHQ",[14,16,19,22,25],{"name":10,"slug":9,"type":15},"tag",{"name":17,"slug":18,"type":15},"LLM","llm",{"name":20,"slug":21,"type":15},"Automation","automation",{"name":23,"slug":24,"type":15},"MCP","mcp",{"name":26,"slug":27,"type":15},"AI Infrastructure","ai-infrastructure",67499,"https:\u002F\u002Fgithub.com\u002FComposioHQ\u002Fawesome-claude-skills","2026-07-15T05:46:14.703055",null,7603,[34,35,36,21,37,38,39,9,40,41,42,24,43,44,45,46,47],"agent-skills","ai-agents","antigravity","claude","claude-code","codex","cursor","developer-tools","gemini-cli","openai-codex","rube","saas","skill","workflow-automation",{"repoUrl":29,"stars":28,"forks":32,"topics":49,"description":50},[34,35,36,21,37,38,39,9,40,41,42,24,43,44,45,46,47],"A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows","https:\u002F\u002Fgithub.com\u002FComposioHQ\u002Fawesome-claude-skills\u002Ftree\u002FHEAD\u002Fcomposio-skills\u002Freplicate-automation","---\nname: Replicate Automation\ndescription: \"Automate Replicate AI model operations -- run predictions, upload files, inspect model schemas, list versions, and manage prediction history via the Composio MCP integration.\"\nrequires:\n  mcp:\n    - rube\n---\n\n# Replicate Automation\n\nAutomate your Replicate AI model workflows -- run predictions on any public model (image generation, LLMs, audio, video), upload input files, inspect model schemas and documentation, list model versions, and track prediction history.\n\n**Toolkit docs:** [composio.dev\u002Ftoolkits\u002Freplicate](https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Freplicate)\n\n---\n\n## Setup\n\n1. Add the Composio MCP server to your client: `https:\u002F\u002Frube.app\u002Fmcp`\n2. Connect your Replicate account when prompted (API token authentication)\n3. Start using the workflows below\n\n---\n\n## Core Workflows\n\n### 1. Get Model Details and Schema\n\nUse `REPLICATE_MODELS_GET` to inspect a model's input\u002Foutput schema before running predictions.\n\n```\nTool: REPLICATE_MODELS_GET\nInputs:\n  - model_owner: string (required) -- e.g., \"meta\", \"black-forest-labs\", \"stability-ai\"\n  - model_name: string (required) -- e.g., \"meta-llama-3-8b-instruct\", \"flux-1.1-pro\"\n```\n\n**Important:** Each model has unique input keys and types. Always check the `openapi_schema` from this response before constructing prediction inputs.\n\n### 2. Run a Prediction\n\nUse `REPLICATE_MODELS_PREDICTIONS_CREATE` to run inference on any model with optional synchronous waiting and webhooks.\n\n```\nTool: REPLICATE_MODELS_PREDICTIONS_CREATE\nInputs:\n  - model_owner: string (required) -- e.g., \"meta\", \"black-forest-labs\"\n  - model_name: string (required) -- e.g., \"flux-1.1-pro\", \"sdxl\"\n  - input: object (required) -- model-specific inputs, e.g., { \"prompt\": \"A sunset over mountains\" }\n  - wait_for: integer (1-60 seconds, optional) -- synchronous wait for completion\n  - cancel_after: string (optional) -- max execution time, e.g., \"300s\", \"5m\"\n  - webhook: string (optional) -- HTTPS URL for async completion notifications\n  - webhook_events_filter: array (optional) -- [\"start\", \"output\", \"logs\", \"completed\"]\n```\n\n**Sync vs Async:** Use `wait_for` (1-60s) for fast models. For long-running jobs, omit it and use webhooks or poll via `REPLICATE_PREDICTIONS_LIST`.\n\n### 3. Upload Files for Model Input\n\nUse `REPLICATE_CREATE_FILE` to upload images, documents, or other binary inputs that models need.\n\n```\nTool: REPLICATE_CREATE_FILE\nInputs:\n  - content: string (required) -- base64-encoded file content\n  - filename: string (required) -- e.g., \"input.png\", \"audio.wav\" (max 255 bytes UTF-8)\n  - content_type: string (default \"application\u002Foctet-stream\") -- MIME type\n  - metadata: object (optional) -- custom JSON metadata\n```\n\n### 4. Read Model Documentation\n\nUse `REPLICATE_MODELS_README_GET` to access a model's README in Markdown format for detailed usage instructions.\n\n```\nTool: REPLICATE_MODELS_README_GET\nInputs:\n  - model_owner: string (required)\n  - model_name: string (required)\n```\n\n### 5. List Model Versions\n\nUse `REPLICATE_MODELS_VERSIONS_LIST` to see all available versions of a model, sorted newest first.\n\n```\nTool: REPLICATE_MODELS_VERSIONS_LIST\nInputs:\n  - model_owner: string (required)\n  - model_name: string (required)\n```\n\n### 6. Track Prediction History and Files\n\nUse `REPLICATE_PREDICTIONS_LIST` to retrieve prediction history, and `REPLICATE_FILES_GET`\u002F`REPLICATE_FILES_LIST` to manage uploaded files.\n\n```\nTool: REPLICATE_PREDICTIONS_LIST\n  - Lists all predictions for the authenticated user with pagination\n\nTool: REPLICATE_FILES_LIST\n  - Lists uploaded files, most recent first\n\nTool: REPLICATE_FILES_GET\n  - Get details of a specific file by ID\n```\n\n---\n\n## Known Pitfalls\n\n| Pitfall | Detail |\n|---------|--------|\n| Model-specific input keys | Each model has unique input keys and types. Using the wrong key causes validation errors. Always call `REPLICATE_MODELS_GET` first to check the `openapi_schema`. |\n| File upload encoding | `REPLICATE_CREATE_FILE` requires base64-encoded content. Binary files treated as text (UTF-8) will fail with decode errors. |\n| Public vs deployment paths | Public models must be run via `REPLICATE_MODELS_PREDICTIONS_CREATE`. Using deployment-oriented paths causes HTTP 404 failures. |\n| Sync wait limits | `wait_for` supports 1-60 seconds only. Long-running jobs need async handling via webhooks or polling `REPLICATE_PREDICTIONS_LIST`. |\n| Image model constraints | Image models like flux-1.1-pro have specific constraints (e.g., max width\u002Fheight 1440px, valid aspect ratios). Check the model schema first. |\n| Stale file references | Heavy usage creates many uploads. Routinely check `REPLICATE_FILES_LIST` to avoid using stale `file_id` references. |\n\n---\n\n## Quick Reference\n\n| Tool Slug | Description |\n|-----------|-------------|\n| `REPLICATE_MODELS_GET` | Get model details, schema, and metadata |\n| `REPLICATE_MODELS_PREDICTIONS_CREATE` | Run a prediction on a model |\n| `REPLICATE_CREATE_FILE` | Upload a file for model input |\n| `REPLICATE_MODELS_README_GET` | Get model README documentation |\n| `REPLICATE_MODELS_VERSIONS_LIST` | List all versions of a model |\n| `REPLICATE_PREDICTIONS_LIST` | List prediction history with pagination |\n| `REPLICATE_FILES_LIST` | List uploaded files |\n| `REPLICATE_FILES_GET` | Get file details by ID |\n\n---\n\n*Powered by [Composio](https:\u002F\u002Fcomposio.dev)*\n",{"data":54,"body":57},{"name":5,"description":7,"requires":55},{"mcp":56},[44],{"type":58,"children":59},"root",[60,67,73,93,97,104,131,134,140,147,160,172,190,196,208,217,243,249,261,270,276,288,297,303,315,324,330,357,366,369,375,532,535,541,691,694],{"type":61,"tag":62,"props":63,"children":64},"element","h1",{"id":4},[65],{"type":66,"value":5},"text",{"type":61,"tag":68,"props":69,"children":70},"p",{},[71],{"type":66,"value":72},"Automate your Replicate AI model workflows -- run predictions on any public model (image generation, LLMs, audio, video), upload input files, inspect model schemas and documentation, list model versions, and track prediction history.",{"type":61,"tag":68,"props":74,"children":75},{},[76,82,84],{"type":61,"tag":77,"props":78,"children":79},"strong",{},[80],{"type":66,"value":81},"Toolkit docs:",{"type":66,"value":83}," ",{"type":61,"tag":85,"props":86,"children":90},"a",{"href":87,"rel":88},"https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Freplicate",[89],"nofollow",[91],{"type":66,"value":92},"composio.dev\u002Ftoolkits\u002Freplicate",{"type":61,"tag":94,"props":95,"children":96},"hr",{},[],{"type":61,"tag":98,"props":99,"children":101},"h2",{"id":100},"setup",[102],{"type":66,"value":103},"Setup",{"type":61,"tag":105,"props":106,"children":107},"ol",{},[108,121,126],{"type":61,"tag":109,"props":110,"children":111},"li",{},[112,114],{"type":66,"value":113},"Add the Composio MCP server to your client: ",{"type":61,"tag":115,"props":116,"children":118},"code",{"className":117},[],[119],{"type":66,"value":120},"https:\u002F\u002Frube.app\u002Fmcp",{"type":61,"tag":109,"props":122,"children":123},{},[124],{"type":66,"value":125},"Connect your Replicate account when prompted (API token authentication)",{"type":61,"tag":109,"props":127,"children":128},{},[129],{"type":66,"value":130},"Start using the workflows below",{"type":61,"tag":94,"props":132,"children":133},{},[],{"type":61,"tag":98,"props":135,"children":137},{"id":136},"core-workflows",[138],{"type":66,"value":139},"Core Workflows",{"type":61,"tag":141,"props":142,"children":144},"h3",{"id":143},"_1-get-model-details-and-schema",[145],{"type":66,"value":146},"1. 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