[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71R7X8FZQZ7TA91KB6CTWNH":3,"skill-same:01M71R7X8FZQZ7TA91KB6CTWNH":63},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":13,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":48,"install":49,"resources":62},"01M71R7X8FZQZ7TA91KB6CTWNH","airflow-dag-patterns",null,"Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.","javiertarazon\u002Fide-agente-free-jt7-","javiertarazon","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F153141207?v=4","01M71R52TB3S9HXKH6WSNT8A7V","01M71R52VG5KS2DKDDH4GDQ30A",0,"MIT","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fairflow-dag-patterns\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"dag","airflow dag","airflow","patterns","airflow dag patterns","sensors","apache","operators","with","batch","scheduling","best practices","unknown","when","workflows","use","testing","deployment","for","community","2026-11-10 13:02:02",false,"---\nname: airflow-dag-patterns\ndescription: \"Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.\"\nrisk: unknown\nsource: community\n---\n\n# Apache Airflow DAG Patterns\n\nProduction-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.\n\n## Use this skill when\n\n- Creating data pipeline orchestration with Airflow\n- Designing DAG structures and dependencies\n- Implementing custom operators and sensors\n- Testing Airflow DAGs locally\n- Setting up Airflow in production\n- Debugging failed DAG runs\n\n## Do not use this skill when\n\n- You only need a simple cron job or shell script\n- Airflow is not part of the tooling stack\n- The task is unrelated to workflow orchestration\n\n## Instructions\n\n1. Identify data sources, schedules, and dependencies.\n2. Design idempotent tasks with clear ownership and retries.\n3. Implement DAGs with observability and alerting hooks.\n4. Validate in staging and document operational runbooks.\n\nRefer to `resources\u002Fimplementation-playbook.md` for detailed patterns, checklists, and templates.\n\n## Safety\n\n- Avoid changing production DAG schedules without approval.\n- Test backfills and retries carefully to prevent data duplication.\n\n## Resources\n\n- `resources\u002Fimplementation-playbook.md` for detailed patterns, checklists, and templates.\n","# Apache Airflow DAG Patterns\n\nProduction-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.\n\n## Use this skill when\n\n- Creating data pipeline orchestration with Airflow\n- Designing DAG structures and dependencies\n- Implementing custom operators and sensors\n- Testing Airflow DAGs locally\n- Setting up Airflow in production\n- Debugging failed DAG runs\n\n## Do not use this skill when\n\n- You only need a simple cron job or shell script\n- Airflow is not part of the tooling stack\n- The task is unrelated to workflow orchestration\n\n## Instructions\n\n1. Identify data sources, schedules, and dependencies.\n2. Design idempotent tasks with clear ownership and retries.\n3. Implement DAGs with observability and alerting hooks.\n4. Validate in staging and document operational runbooks.\n\nRefer to `resources\u002Fimplementation-playbook.md` for detailed patterns, checklists, and templates.\n\n## Safety\n\n- Avoid changing production DAG schedules without approval.\n- Test backfills and retries carefully to prevent data duplication.\n\n## Resources\n\n- `resources\u002Fimplementation-playbook.md` for detailed patterns, checklists, and templates.\n",{"name":5,"risk":30,"source":37,"description":7},"release\u002Fv4.2.11-panel-pro","a92ea02bcf7e2b3dbaf46d49696c29a3cb490d4f",".github\u002Fskills\u002Fairflow-dag-patterns","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-","https:\u002F\u002Fgithub.com\u002Fjaviertarazon","2026-07-12 07:10:45",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add javiertarazon\u002Fide-agente-free-jt7- --skill airflow-dag-patterns",{"tool":55,"command":56},"bunx","bunx skills add javiertarazon\u002Fide-agente-free-jt7- --skill airflow-dag-patterns",{"tool":58,"command":59},"pnpm","pnpm dlx skills add javiertarazon\u002Fide-agente-free-jt7- --skill airflow-dag-patterns","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fairflow-dag-patterns\u002FSKILL.md",true,[],[64,91,117,137,152,172],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":75,"publishedAt":38},"01M71TQ7Q6Z10VWF3C2H5X1KW9","zustand-store-ts","Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state\u002Faction separation. Use when building React state management, creating global stores, or implementing reacti...","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzustand-store-ts\u002FSKILL.md",[70],{"categoryNo":71,"categoryName":72,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[76,77,78,37,79,80,33,81,31,30,82,26,83,84,85,86,87,88,89,90],"zustand","store","zustand store ts","middleware","implementing","react state management","react","state","create","state management","typescript","action","management","separation","global",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":100,"publishedAt":38},"01M71TQ5EAR40G6W0MV5ZDVEZT","zoom-automation","Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzoom-automation\u002FSKILL.md",[97],{"categoryNo":98,"categoryName":99,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000023","Skill与智能体开发",[101,102,103,37,104,36,105,106,107,30,108,109,110,111,112,113,114,115,88,116],"zoom automation","zoom","automation","creation","search","schemas","MCP","first","via","meeting","search tools","tracking","webinars","composio","recordings","Tools",{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":124,"publishedAt":38},"01M71TQ29B1EYBCEAP1ZBGXQ1A","zoho-crm-automation","Automate Zoho CRM tasks via Rube MCP (Composio): create\u002Fupdate records, search contacts, manage leads, and convert leads. 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Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity ...","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzapier-make-patterns\u002FSKILL.md",[],[159,160,21,161,162,163,164,165,166,103,167,30,168,169,24,170,171,151],"zapier make patterns","zapier","make","No-Code","complexity","writing","spawner","business","workflow","code","integromat","processes","but",{"skillNo":173,"name":174,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":181,"publishedAt":38},"01M71TPT5T10WXNKW9G7ZXZ27W","youtube-summarizer","Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fyoutube-summarizer\u002FSKILL.md",[178],{"categoryNo":179,"categoryName":180,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000016","图像与多媒体",[182,183,184,185,37,186,187,188,189,190,191,192,168,193,194,195,196,197,198,199],"summarizer","youtube","youtube summarizer","Video","content-analysis","frameworks","copilot","2025","github-copilot","extract transcripts","analysis","codex","cli","summaries","github","generate","summarization","2026"]