[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7A4DRRQ2MC5QSDB3JBTS0D0":3,"skill-same:01M7A4DRRQ2MC5QSDB3JBTS0D0":48},{"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":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":27,"commitSha":28,"skillDirectory":29,"forksCount":30,"repositoryHtmlUrl":31,"repositoryHomepageUrl":6,"ownerHtmlUrl":32,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":33,"install":34,"resources":47},"01M7A4DRRQ2MC5QSDB3JBTS0D0","docker_hub-automation",null,"Automate Docker Hub tasks via Rube MCP (Composio): repositories, images, tags, and container registry management. Always search tools first for current schemas.","siuserxiaowei\u002Fxiaowei-ai-tools","siuserxiaowei","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F226641659?v=4","01M7A3SYZKS0MVRZZJQC10XSYM","siuser小伟","01M7A3SZ0735VJJQ0479SNF44J",1,"MIT","https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei\u002Fxiaowei-ai-tools\u002Fblob\u002Fmain\u002Fprojects\u002F技能集合与工具目录\u002Fawesome-codex-skills\u002Fcomposio-skills\u002Fdocker_hub-automation\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: docker_hub-automation\ndescription: \"Automate Docker Hub tasks via Rube MCP (Composio): repositories, images, tags, and container registry management. Always search tools first for current schemas.\"\nrequires:\n  mcp: [rube]\n---\n\n# Docker Hub Automation via Rube MCP\n\nAutomate Docker Hub operations through Composio's Docker Hub toolkit via Rube MCP.\n\n**Toolkit docs**: [composio.dev\u002Ftoolkits\u002Fdocker_hub](https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Fdocker_hub)\n\n## Prerequisites\n\n- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)\n- Active Docker Hub connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `docker_hub`\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 `docker_hub`\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: queries=[{\"use_case\": \"repositories, images, tags, and container registry management\", \"known_fields\": \"\"}]\n```\n\nThis returns:\n- Available tool slugs for Docker Hub\n- Recommended execution plan steps\n- Known pitfalls and edge cases\n- Input schemas for each tool\n\n## Core Workflows\n\n### 1. Discover Available Docker Hub Tools\n\n```\nRUBE_SEARCH_TOOLS:\n  queries:\n    - use_case: \"list all available Docker Hub tools and capabilities\"\n```\n\nReview the returned tools, their descriptions, and input schemas before proceeding.\n\n### 2. Execute Docker Hub Operations\n\nAfter discovering tools, execute them via:\n\n```\nRUBE_MULTI_EXECUTE_TOOL:\n  tools:\n    - tool_slug: \"\u003Cdiscovered_tool_slug>\"\n      arguments: {\u003Cschema-compliant arguments>}\n  memory: {}\n  sync_response_to_workbench: false\n```\n\n### 3. Multi-Step Workflows\n\nFor complex workflows involving multiple Docker Hub operations:\n\n1. Search for all relevant tools: `RUBE_SEARCH_TOOLS` with specific use case\n2. Execute prerequisite steps first (e.g., fetch before update)\n3. Pass data between steps using tool responses\n4. Use `RUBE_REMOTE_WORKBENCH` for bulk operations or data processing\n\n## Common Patterns\n\n### Search Before Action\nAlways search for existing resources before creating new ones to avoid duplicates.\n\n### Pagination\nMany list operations support pagination. Check responses for `next_cursor` or `page_token` and continue fetching until exhausted.\n\n### Error Handling\n- Check tool responses for errors before proceeding\n- If a tool fails, verify the connection is still ACTIVE\n- Re-authenticate via `RUBE_MANAGE_CONNECTIONS` if connection expired\n\n### Batch Operations\nFor bulk operations, use `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` in a loop with `ThreadPoolExecutor` for parallel execution.\n\n## Known Pitfalls\n\n- **Always search tools first**: Tool schemas and available operations may change. Never hardcode tool slugs without first discovering them via `RUBE_SEARCH_TOOLS`.\n- **Check connection status**: Ensure the Docker Hub connection is ACTIVE before executing any tools. Expired OAuth tokens require re-authentication.\n- **Respect rate limits**: If you receive rate limit errors, reduce request frequency and implement backoff.\n- **Validate schemas**: Always pass strictly schema-compliant arguments. Use `RUBE_GET_TOOL_SCHEMAS` to load full input schemas when `schemaRef` is returned instead of `input_schema`.\n\n## Quick Reference\n\n| Operation | Approach |\n|-----------|----------|\n| Find tools | `RUBE_SEARCH_TOOLS` with Docker Hub-specific use case |\n| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `docker_hub` |\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> **Toolkit docs**: [composio.dev\u002Ftoolkits\u002Fdocker_hub](https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Fdocker_hub)\n","# Docker Hub Automation via Rube MCP\n\nAutomate Docker Hub operations through Composio's Docker Hub toolkit via Rube MCP.\n\n**Toolkit docs**: [composio.dev\u002Ftoolkits\u002Fdocker_hub](https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Fdocker_hub)\n\n## Prerequisites\n\n- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)\n- Active Docker Hub connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `docker_hub`\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 `docker_hub`\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: queries=[{\"use_case\": \"repositories, images, tags, and container registry management\", \"known_fields\": \"\"}]\n```\n\nThis returns:\n- Available tool slugs for Docker Hub\n- Recommended execution plan steps\n- Known pitfalls and edge cases\n- Input schemas for each tool\n\n## Core Workflows\n\n### 1. Discover Available Docker Hub Tools\n\n```\nRUBE_SEARCH_TOOLS:\n  queries:\n    - use_case: \"list all available Docker Hub tools and capabilities\"\n```\n\nReview the returned tools, their descriptions, and input schemas before proceeding.\n\n### 2. Execute Docker Hub Operations\n\nAfter discovering tools, execute them via:\n\n```\nRUBE_MULTI_EXECUTE_TOOL:\n  tools:\n    - tool_slug: \"\u003Cdiscovered_tool_slug>\"\n      arguments: {\u003Cschema-compliant arguments>}\n  memory: {}\n  sync_response_to_workbench: false\n```\n\n### 3. Multi-Step Workflows\n\nFor complex workflows involving multiple Docker Hub operations:\n\n1. Search for all relevant tools: `RUBE_SEARCH_TOOLS` with specific use case\n2. Execute prerequisite steps first (e.g., fetch before update)\n3. Pass data between steps using tool responses\n4. Use `RUBE_REMOTE_WORKBENCH` for bulk operations or data processing\n\n## Common Patterns\n\n### Search Before Action\nAlways search for existing resources before creating new ones to avoid duplicates.\n\n### Pagination\nMany list operations support pagination. Check responses for `next_cursor` or `page_token` and continue fetching until exhausted.\n\n### Error Handling\n- Check tool responses for errors before proceeding\n- If a tool fails, verify the connection is still ACTIVE\n- Re-authenticate via `RUBE_MANAGE_CONNECTIONS` if connection expired\n\n### Batch Operations\nFor bulk operations, use `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` in a loop with `ThreadPoolExecutor` for parallel execution.\n\n## Known Pitfalls\n\n- **Always search tools first**: Tool schemas and available operations may change. Never hardcode tool slugs without first discovering them via `RUBE_SEARCH_TOOLS`.\n- **Check connection status**: Ensure the Docker Hub connection is ACTIVE before executing any tools. Expired OAuth tokens require re-authentication.\n- **Respect rate limits**: If you receive rate limit errors, reduce request frequency and implement backoff.\n- **Validate schemas**: Always pass strictly schema-compliant arguments. Use `RUBE_GET_TOOL_SCHEMAS` to load full input schemas when `schemaRef` is returned instead of `input_schema`.\n\n## Quick Reference\n\n| Operation | Approach |\n|-----------|----------|\n| Find tools | `RUBE_SEARCH_TOOLS` with Docker Hub-specific use case |\n| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `docker_hub` |\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> **Toolkit docs**: [composio.dev\u002Ftoolkits\u002Fdocker_hub](https:\u002F\u002Fcomposio.dev\u002Ftoolkits\u002Fdocker_hub)\n",{"name":5,"requires":24,"description":7},{"mcp":25},[26],"rube","main","ebb257363024c428d3c797cb705194b35d00cb0f","projects\u002F技能集合与工具目录\u002Fawesome-codex-skills\u002Fcomposio-skills\u002Fdocker_hub-automation",0,"https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei\u002Fxiaowei-ai-tools","https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei","2026-11-03 21:39:44",{"source":8,"skillName":5,"commands":35,"prompt":45,"zipAvailable":46},[36,39,42],{"tool":37,"command":38},"npx","npx skills add siuserxiaowei\u002Fxiaowei-ai-tools --skill docker_hub-automation",{"tool":40,"command":41},"bunx","bunx skills add siuserxiaowei\u002Fxiaowei-ai-tools --skill docker_hub-automation",{"tool":43,"command":44},"pnpm","pnpm dlx skills add siuserxiaowei\u002Fxiaowei-ai-tools --skill docker_hub-automation","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei\u002Fxiaowei-ai-tools\u002Fblob\u002Fmain\u002Fprojects\u002F技能集合与工具目录\u002Fawesome-codex-skills\u002Fcomposio-skills\u002Fdocker_hub-automation\u002FSKILL.md",true,[],[49,56,63,70,77,84],{"skillNo":50,"name":51,"nameZh":6,"description":52,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":53,"categories":54,"keywords":55,"publishedAt":19},"01M7A66TQCYTAPVGB01H6593P0","x-article-draft-uploader","把本地 Markdown 转为经核验的 X Articles 新草稿。适用于需要保留首图封面、正文图片相对位置，并在独立 Playwright 会话中复用用户已授权 Chrome 登录态的任务；不负责公开发布。","https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei\u002Fxiaowei-ai-tools\u002Fblob\u002Fmain\u002Fskills\u002Fx-article-draft-uploader\u002FSKILL.md",[],[],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":62,"publishedAt":19},"01M7A66R643K97EQHY5AFBBVQ6","wecom-operations","通过用户已配置的官方 wecom-cli 管理企业微信文档、智能文档、待办、会议和日程。适合创建或查询这些云端对象、把本地 Markdown 转为智能文档，以及在明确确认后更新或取消对象；不发送消息、不控制桌面客户端。","https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei\u002Fxiaowei-ai-tools\u002Fblob\u002Fmain\u002Fskills\u002Fwecom-operations\u002FSKILL.md",[],[],{"skillNo":64,"name":65,"nameZh":6,"description":66,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":67,"categories":68,"keywords":69,"publishedAt":19},"01M7A66M3AXR54FQB7B4TX5VN9","wecom-local-vault","Inspect authorized local WeCom databases on macOS, create private plaintext snapshots, and query or export contacts, conversations, and messages without modifying the source account store. Use when the user asks to parse 企业微信\u002FWeCom local data, recover a private database snapshot, inspect local contacts or sessions, search chat history, or export a bounded conversation.","https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei\u002Fxiaowei-ai-tools\u002Fblob\u002Fmain\u002Fskills\u002Fwecom-local-vault\u002FSKILL.md",[],[],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":19},"01M7A6649YFS2SQ8SKFSTBRN2Z","wechat-reading","Read and analyze WeRead\u002F微信读书 search results, book metadata, bookshelf entries, progress, notes, highlights, public reviews, recommendations, and reading statistics through the official read-only Agent Gateway. Use for WeRead account questions or exports; do not imply that the current Gateway can add, remove, upload, rate, like, or edit content.","https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei\u002Fxiaowei-ai-tools\u002Fblob\u002Fmain\u002Fskills\u002Fwechat-reading\u002FSKILL.md",[],[],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":19},"01M7A65QZNA4FBYV32WH9S97QG","wechat-mp-batch-exporter","Build a bounded, private archive from known WeChat Official Account article URLs or an owner-authorized account-history export, with explicit reconciliation of article, publish-group, and platform-marked-original counts. Use for batch body capture, history normalization, or enhanced metrics\u002Fcomments workflows. Do not use for a one-page summary or to automate the WeChat client.","https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei\u002Fxiaowei-ai-tools\u002Fblob\u002Fmain\u002Fskills\u002Fwechat-mp-batch-exporter\u002FSKILL.md",[],[],{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":19},"01M7A65NP84R1JFFZEPVZT065P","wechat-local-vault","在 macOS 本机建立并查询私有微信数据快照。适用于盘点数据库、离线校验已有密钥候选、创建全量或增量明文快照、查会话与联系人、按时间检索消息、导出指定聊天、查看朋友圈或收藏，以及准备群聊摘要素材。所有查询只读，默认隐藏内部账号标识，不操控微信界面，也不发送任何内容。","https:\u002F\u002Fgithub.com\u002Fsiuserxiaowei\u002Fxiaowei-ai-tools\u002Fblob\u002Fmain\u002Fskills\u002Fwechat-local-vault\u002FSKILL.md",[],[]]