[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6G09575AGSP18091V02KGET":3,"skill-same:01M6G09575AGSP18091V02KGET":71},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":41,"linkOnly":42,"markdownContent":43,"markdownBody":44,"frontMatter":45,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":14,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":54,"ownerDescription":55,"updatedAt":56,"install":57,"resources":70},"01M6G09575AGSP18091V02KGET","Replicate Automation",null,"Automate Replicate AI model operations -- run predictions, upload files, inspect model schemas, list versions, and manage prediction history via the Composio MCP integration.","reikiplanet\u002Fdaoskills","reikiplanet","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F96377599?v=4","01M6CVWCMD740YHQDK7E9QYBW4","Reiki Planet","01M6CVWCS4KXVA2CWFVJ43EAXK",0,"MIT","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Fskills\u002Fautomation\u002Fcomposio-replicate-automation\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,5,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"automation","replicate","predictions","MCP","via","upload","composio","manage","files","operations","list","history","automate","model","MCP Integration","integration","run","2026-11-10 10:12:30",false,"---\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","# 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",{"name":5,"requires":46,"description":7},{"mcp":47},[48],"rube","master","dff58085da947e81e8418c922055644bf0082b1b","skills\u002Fautomation\u002Fcomposio-replicate-automation","https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills","https:\u002F\u002Fgithub.com\u002Freikiplanet","https:\u002F\u002Fwww.reiki-planet.com","Reiki Planet Game","2026-03-29 06:02:29",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add reikiplanet\u002Fdaoskills --skill \"Replicate Automation\"",{"tool":63,"command":64},"bunx","bunx skills add reikiplanet\u002Fdaoskills --skill \"Replicate Automation\"",{"tool":66,"command":67},"pnpm","pnpm dlx skills add reikiplanet\u002Fdaoskills --skill \"Replicate Automation\"","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Freikiplanet\u002Fdaoskills\u002Fblob\u002Fmaster\u002Fskills\u002Fautomation\u002Fcomposio-replicate-automation\u002FSKILL.md",true,[],[72,99,111,126,146,169],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":41},"01M6G614JTEQJHPT8AKK3YQ18S","web-games","Web browser game development principles. 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