[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6E783ESE68JMYXCFPGY6FWM":3,"skill-same:01M6E783ESE68JMYXCFPGY6FWM":76},{"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":31,"publishedAt":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":58,"ownerHtmlUrl":59,"ownerBlogUrl":6,"ownerDescription":60,"updatedAt":61,"install":62,"resources":75},"01M6E783ESE68JMYXCFPGY6FWM","ai-ml-api-automation",null,"Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas.","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002FComposioHQ\u002Fawesome-claude-skills\u002Fai-ml-api-automation\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44],"automation","ml","api","ai ml","ai ml api automation","MCP","tasks","search","Tools","first","automate","composio","via","2026-11-10 10:12:30",false,"---\nname: ai-ml-api-automation\ndescription: \"Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas.\"\nrequires:\n  mcp: [rube]\n---\n\n# AI ML API Automation via Rube MCP\n\nAutomate AI ML API operations through Composio's AI ML API toolkit via Rube MCP.\n\n**Toolkit docs**: [composio.dev\u002Ftoolkits\u002Fai_ml_api](https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Fai_ml_api)\n\n## Prerequisites\n\n- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)\n- Active AI ML API connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `ai_ml_api`\n- Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas\n\n## Setup\n\n**Get Rube MCP**: Add `https:\u002F\u002Frube.app\u002Fmcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.\n\n1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds\n2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `ai_ml_api`\n3. If connection is not ACTIVE, follow the returned auth link to complete setup\n4. Confirm connection status shows ACTIVE before running any workflows\n\n## Tool Discovery\n\nAlways discover available tools before executing workflows:\n\n```\nRUBE_SEARCH_TOOLS\nqueries: [{use_case: \"AI ML API operations\", known_fields: \"\"}]\nsession: {generate_id: true}\n```\n\nThis returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.\n\n## Core Workflow Pattern\n\n### Step 1: Discover Available Tools\n\n```\nRUBE_SEARCH_TOOLS\nqueries: [{use_case: \"your specific AI ML API task\"}]\nsession: {id: \"existing_session_id\"}\n```\n\n### Step 2: Check Connection\n\n```\nRUBE_MANAGE_CONNECTIONS\ntoolkits: [\"ai_ml_api\"]\nsession_id: \"your_session_id\"\n```\n\n### Step 3: Execute Tools\n\n```\nRUBE_MULTI_EXECUTE_TOOL\ntools: [{\n  tool_slug: \"TOOL_SLUG_FROM_SEARCH\",\n  arguments: {\u002F* schema-compliant args from search results *\u002F}\n}]\nmemory: {}\nsession_id: \"your_session_id\"\n```\n\n## Known Pitfalls\n\n- **Always search first**: Tool schemas change. Never hardcode tool slugs or arguments without calling `RUBE_SEARCH_TOOLS`\n- **Check connection**: Verify `RUBE_MANAGE_CONNECTIONS` shows ACTIVE status before executing tools\n- **Schema compliance**: Use exact field names and types from the search results\n- **Memory parameter**: Always include `memory` in `RUBE_MULTI_EXECUTE_TOOL` calls, even if empty (`{}`)\n- **Session reuse**: Reuse session IDs within a workflow. Generate new ones for new workflows\n- **Pagination**: Check responses for pagination tokens and continue fetching until complete\n\n## Quick Reference\n\n| Operation | Approach |\n|-----------|----------|\n| Find tools | `RUBE_SEARCH_TOOLS` with AI ML API-specific use case |\n| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `ai_ml_api` |\n| Execute | `RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs |\n| Bulk ops | `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` |\n| Full schema | `RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef` |\n\n---\n*Powered by [Composio](https:\u002F\u002Fcomposio.dev)*\n\n","# AI ML API Automation via Rube MCP\n\nAutomate AI ML API operations through Composio's AI ML API toolkit via Rube MCP.\n\n**Toolkit docs**: [composio.dev\u002Ftoolkits\u002Fai_ml_api](https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Fai_ml_api)\n\n## Prerequisites\n\n- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)\n- Active AI ML API connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `ai_ml_api`\n- Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas\n\n## Setup\n\n**Get Rube MCP**: Add `https:\u002F\u002Frube.app\u002Fmcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.\n\n1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds\n2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `ai_ml_api`\n3. If connection is not ACTIVE, follow the returned auth link to complete setup\n4. Confirm connection status shows ACTIVE before running any workflows\n\n## Tool Discovery\n\nAlways discover available tools before executing workflows:\n\n```\nRUBE_SEARCH_TOOLS\nqueries: [{use_case: \"AI ML API operations\", known_fields: \"\"}]\nsession: {generate_id: true}\n```\n\nThis returns available tool slugs, input schemas, recommended execution plans, and known pitfalls.\n\n## Core Workflow Pattern\n\n### Step 1: Discover Available Tools\n\n```\nRUBE_SEARCH_TOOLS\nqueries: [{use_case: \"your specific AI ML API task\"}]\nsession: {id: \"existing_session_id\"}\n```\n\n### Step 2: Check Connection\n\n```\nRUBE_MANAGE_CONNECTIONS\ntoolkits: [\"ai_ml_api\"]\nsession_id: \"your_session_id\"\n```\n\n### Step 3: Execute Tools\n\n```\nRUBE_MULTI_EXECUTE_TOOL\ntools: [{\n  tool_slug: \"TOOL_SLUG_FROM_SEARCH\",\n  arguments: {\u002F* schema-compliant args from search results *\u002F}\n}]\nmemory: {}\nsession_id: \"your_session_id\"\n```\n\n## Known Pitfalls\n\n- **Always search first**: Tool schemas change. Never hardcode tool slugs or arguments without calling `RUBE_SEARCH_TOOLS`\n- **Check connection**: Verify `RUBE_MANAGE_CONNECTIONS` shows ACTIVE status before executing tools\n- **Schema compliance**: Use exact field names and types from the search results\n- **Memory parameter**: Always include `memory` in `RUBE_MULTI_EXECUTE_TOOL` calls, even if empty (`{}`)\n- **Session reuse**: Reuse session IDs within a workflow. Generate new ones for new workflows\n- **Pagination**: Check responses for pagination tokens and continue fetching until complete\n\n## Quick Reference\n\n| Operation | Approach |\n|-----------|----------|\n| Find tools | `RUBE_SEARCH_TOOLS` with AI ML API-specific use case |\n| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `ai_ml_api` |\n| Execute | `RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs |\n| Bulk ops | `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` |\n| Full schema | `RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef` |\n\n---\n*Powered by [Composio](https:\u002F\u002Fcomposio.dev)*\n\n",{"name":5,"requires":50,"description":7},{"mcp":51},[52],"rube","main","def8531e65114c0fca8fb8551c1871ee0eed705c","skills\u002FComposioHQ\u002Fawesome-claude-skills\u002Fai-ml-api-automation",24,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub","https:\u002F\u002Fskillshub.wtf","https:\u002F\u002Fgithub.com\u002FComeOnOliver","AI & Blockchain 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