[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6J5E2T4HXG8KBTCKF4Q26RW":3,"skill-same:01M6J5E2T4HXG8KBTCKF4Q26RW":80},{"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":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":56,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":58,"updatedAt":59,"install":60,"resources":73},"01M6J5E2T4HXG8KBTCKF4Q26RW","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.","onfire7777\u002Funiversal-ai-skills-library","onfire7777","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F240866566?v=4","01M6HZJCF2QEW8DY7HE1JDKGK2","Jake B","01M6HZJCKK8SEXKN76V9SGKZ12",17,"MIT","https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fblob\u002Fmain\u002Fskills\u002Freplicate-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",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"automation","replicate","Replicate Automation","inspect","MCP","predictions","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":48,"description":7},{"mcp":49},[50],"rube","main","2a76bf42ce5c860adf8d0f3fcf3f6804109ac65b","skills\u002Freplicate-automation",0,"https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library","https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fwiki","https:\u002F\u002Fgithub.com\u002Fonfire7777","trying to create something actually useful","2026-09-11 13:25:26",{"source":8,"skillName":5,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add onfire7777\u002Funiversal-ai-skills-library --skill replicate-automation",{"tool":66,"command":67},"bunx","bunx skills add onfire7777\u002Funiversal-ai-skills-library --skill replicate-automation",{"tool":69,"command":70},"pnpm","pnpm dlx skills add onfire7777\u002Funiversal-ai-skills-library --skill replicate-automation","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fblob\u002Fmain\u002Fskills\u002Freplicate-automation\u002FSKILL.md",true,[74],{"path":75,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":78,"sourceHtmlUrl":79},".openskills.json","REFERENCE","参考文档",259,"https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fblob\u002Fmain\u002Fskills\u002Freplicate-automation\u002F.openskills.json",[81,104,113,123,144,160],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":96,"publishedAt":43},"01M6J7MPK8ZE9VQJR4KK6ZMZJQ","zyte-api-automation","Automate Zyte API tasks via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fblob\u002Fmain\u002Fskills\u002Fzyte-api-automation\u002FSKILL.md",[87,90,91],{"categoryNo":88,"categoryName":89,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,97,98,99,28,30,32,38,100,101,102,103],"api","zyte api automation","for","first","Tools","search","tasks",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":111,"publishedAt":43},"01M6J7MK45K2ZZ0EWTP1N6SZ7F","zylvie-automation","Automate Zylvie tasks via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fblob\u002Fmain\u002Fskills\u002Fzylvie-automation\u002FSKILL.md",[110],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[24,112,28,103,99,30,32,38,100,101,102],"zylvie automation",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":120,"publishedAt":43},"01M6J7MGDCVZ3YCXGEAPR5V3MS","zoominfo-automation","Automate Zoominfo tasks via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fblob\u002Fmain\u002Fskills\u002Fzoominfo-automation\u002FSKILL.md",[119],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[121,122,24,38,32,101,30,103,99,102,28,100],"zoominfo","zoominfo automation",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":130,"publishedAt":43},"01M6J7MDK48N09B7C6H9TCPY9A","zoom-out","Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.","https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fblob\u002Fmain\u002Fskills\u002Fzoom-out\u002FSKILL.md",[129],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[131,132,133,134,135,136,137,138,139,140,141,142,143],"zoom out","zoom","perspective","code","re","you","with","understand","it","use","context","how","true",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":151,"publishedAt":43},"01M6J7MAD47Q9A55AK3EXS914H","zoho-mail-automation","Automate Zoho Mail tasks via Rube MCP (Composio): email sending, folders, labels, and mailbox management. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fblob\u002Fmain\u002Fskills\u002Fzoho-mail-automation\u002FSKILL.md",[150],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[152,153,154,155,24,156,102,103,28,101,157,99,30,158,32,159,38,100],"mail","zoho mail automation","zoho","zoho mail","email","labels","mailbox","management",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":170,"publishedAt":43},"01M6J7M76HTWPP8TRWWCDS42NB","zoho-invoice-automation","Automate Zoho Invoice tasks via Rube MCP (Composio): invoices, estimates, expenses, clients, and payment tracking. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fonfire7777\u002Funiversal-ai-skills-library\u002Fblob\u002Fmain\u002Fskills\u002Fzoho-invoice-automation\u002FSKILL.md",[166,167],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":168,"categoryName":169,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000040","财务",[171,24,154,172,28,30,99,173,174,175,32,176,177,38,100,101,102,103],"invoice","zoho invoice automation","invoices","expenses","clients","payment","tracking"]