[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MMTAXMM7WHW2Y95SM6B2ES":3,"skill-same:01M6MMTAXMM7WHW2Y95SM6B2ES":101},{"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":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":57,"repositoryHtmlUrl":58,"repositoryHomepageUrl":6,"ownerHtmlUrl":59,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":60,"install":61,"resources":74},"01M6MMTAXMM7WHW2Y95SM6B2ES","bigquery-basics",null,"Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources, or leverage BigQuery's built-in ML capabilities. Also use when performing data analysis, ingesting data into BigQuery, or developing AI applications on BigQuery.","arkhe-genesis\u002FArkhe-OS","arkhe-genesis","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F272629719?v=4","01M6KJDTSTJD2AD5RFPVZNGYCP","Rafael Oliveira","01M6KJDTXSTA997KDK184EA55A",1,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbigquery-basics\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"bigquery basics","bigquery","basics","sql queries","for","you","insights","advanced","with","resources","leverage","manage","queries","data analysis","use","analysis","applications","capabilities","ml","gemini","2026-11-10 10:12:30",false,"---\nname: bigquery-basics\ndescription: >-\n  Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery\n  ML and Gemini for advanced data analytics and AI-driven insights. Use when\n  you need to interact with BigQuery, run SQL queries, manage BigQuery\n  resources, or leverage BigQuery's built-in ML capabilities. Also use when\n  performing data analysis, ingesting data into BigQuery, or developing AI\n  applications on BigQuery.\n---\n\n# BigQuery Basics\n\nBigQuery is a serverless, AI-ready data platform that enables high-speed\nanalysis of large datasets using SQL and Python. Its disaggregated architecture\nseparates compute and storage, allowing them to scale independently while\nproviding built-in machine learning, geospatial analysis, and business\nintelligence capabilities.\n\n## Setup and Basic Usage\n\n1.  **Enable the BigQuery API:**\n    ```bash\n    gcloud services enable bigquery.googleapis.com --quiet\n    ```\n\n2.  **Create a Dataset:**\n    ```bash\n    bq mk --dataset --location=US my_dataset\n    ```\n\n3.  **Create a Table:**\n\n    Create a file named `schema.json` with your table schema:\n\n    ```json\n    [\n      {\n        \"name\": \"name\",\n        \"type\": \"STRING\",\n        \"mode\": \"REQUIRED\"\n      },\n      {\n        \"name\": \"post_abbr\",\n        \"type\": \"STRING\",\n        \"mode\": \"NULLABLE\"\n      }\n    ]\n    ```\n\n    Then create the table with the `bq` tool:\n\n    ```bash\n    bq mk --table my_dataset.mytable schema.json\n    ```\n\n4.  **Run a Query:**\n    ```bash\n    bq query --use_legacy_sql=false \\\n    'SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` \\\n    WHERE state = \"TX\" LIMIT 10'\n    ```\n\n## Reference Directory\n\n- [Core Concepts](references\u002Fcore-concepts.md): Storage types, analytics\n  workflows, and BigQuery Studio features.\n\n- [CLI Usage](references\u002Fcli-usage.md): Essential `bq` command-line tool\n  operations for managing data and jobs.\n\n- [Client Libraries](references\u002Fclient-library-usage.md): Using Google Cloud\n  client libraries for Python, Java, Node.js, and Go.\n\n- [MCP Usage](references\u002Fmcp-usage.md): Using the BigQuery remote MCP server and\n  Gemini CLI extension.\n\n- [Infrastructure as Code](references\u002Fiac-usage.md): Terraform examples for\n  datasets, tables, and reservations.\n\n- [IAM & Security](references\u002Fiam-security.md): Roles, permissions, and data\n  governance best practices.\n\n*If you need product information not found in these references, use the\nDeveloper Knowledge MCP server `search_documents` tool.*\n\n## Related Skills\n\n- [BigQuery AI & ML Skill](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Ftree\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml):\n  SKILL.md file for BigQuery AI and ML capabilities.\n- [BigQuery AI & ML References](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Ftree\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences):\n  Reference files published for the BigQuery AI and ML skill.\n  - [bigquery_ai_classify.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_classify.md)\n  - [bigquery_ai_detect_anomalies.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_detect_anomalies.md)\n  - [bigquery_ai_forecast.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_forecast.md)\n  - [bigquery_ai_generate.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_generate.md)\n  - [bigquery_ai_generate_bool.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_generate_bool.md)\n  - [bigquery_ai_generate_double.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_generate_double.md)\n  - [bigquery_ai_generate_int.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_generate_int.md)\n  - [bigquery_ai_if.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_if.md)\n  - [bigquery_ai_score.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_score.md)\n  - [bigquery_ai_search.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_search.md)\n  - [bigquery_ai_similarity.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_similarity.md)\n","# BigQuery Basics\n\nBigQuery is a serverless, AI-ready data platform that enables high-speed\nanalysis of large datasets using SQL and Python. Its disaggregated architecture\nseparates compute and storage, allowing them to scale independently while\nproviding built-in machine learning, geospatial analysis, and business\nintelligence capabilities.\n\n## Setup and Basic Usage\n\n1.  **Enable the BigQuery API:**\n    ```bash\n    gcloud services enable bigquery.googleapis.com --quiet\n    ```\n\n2.  **Create a Dataset:**\n    ```bash\n    bq mk --dataset --location=US my_dataset\n    ```\n\n3.  **Create a Table:**\n\n    Create a file named `schema.json` with your table schema:\n\n    ```json\n    [\n      {\n        \"name\": \"name\",\n        \"type\": \"STRING\",\n        \"mode\": \"REQUIRED\"\n      },\n      {\n        \"name\": \"post_abbr\",\n        \"type\": \"STRING\",\n        \"mode\": \"NULLABLE\"\n      }\n    ]\n    ```\n\n    Then create the table with the `bq` tool:\n\n    ```bash\n    bq mk --table my_dataset.mytable schema.json\n    ```\n\n4.  **Run a Query:**\n    ```bash\n    bq query --use_legacy_sql=false \\\n    'SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` \\\n    WHERE state = \"TX\" LIMIT 10'\n    ```\n\n## Reference Directory\n\n- [Core Concepts](references\u002Fcore-concepts.md): Storage types, analytics\n  workflows, and BigQuery Studio features.\n\n- [CLI Usage](references\u002Fcli-usage.md): Essential `bq` command-line tool\n  operations for managing data and jobs.\n\n- [Client Libraries](references\u002Fclient-library-usage.md): Using Google Cloud\n  client libraries for Python, Java, Node.js, and Go.\n\n- [MCP Usage](references\u002Fmcp-usage.md): Using the BigQuery remote MCP server and\n  Gemini CLI extension.\n\n- [Infrastructure as Code](references\u002Fiac-usage.md): Terraform examples for\n  datasets, tables, and reservations.\n\n- [IAM & Security](references\u002Fiam-security.md): Roles, permissions, and data\n  governance best practices.\n\n*If you need product information not found in these references, use the\nDeveloper Knowledge MCP server `search_documents` tool.*\n\n## Related Skills\n\n- [BigQuery AI & ML Skill](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Ftree\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml):\n  SKILL.md file for BigQuery AI and ML capabilities.\n- [BigQuery AI & ML References](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Ftree\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences):\n  Reference files published for the BigQuery AI and ML skill.\n  - [bigquery_ai_classify.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_classify.md)\n  - [bigquery_ai_detect_anomalies.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_detect_anomalies.md)\n  - [bigquery_ai_forecast.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_forecast.md)\n  - [bigquery_ai_generate.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_generate.md)\n  - [bigquery_ai_generate_bool.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_generate_bool.md)\n  - [bigquery_ai_generate_double.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_generate_double.md)\n  - [bigquery_ai_generate_int.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_generate_int.md)\n  - [bigquery_ai_if.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_if.md)\n  - [bigquery_ai_score.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_score.md)\n  - [bigquery_ai_search.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_search.md)\n  - [bigquery_ai_similarity.md](https:\u002F\u002Fgithub.com\u002Fgoogle\u002Fadk-python\u002Fblob\u002Fmain\u002Fsrc\u002Fgoogle\u002Fadk\u002Ftools\u002Fbigquery\u002Fskills\u002Fbigquery-ai-ml\u002Freferences\u002Fbigquery_ai_similarity.md)\n",{"name":5,"description":7},"main","74cd3c4137064fdcde71ed9fe5c4bff58921d899",".agents\u002Fskills\u002Fbigquery-basics",0,"https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS","https:\u002F\u002Fgithub.com\u002Farkhe-genesis","2026-11-08 09:08:55",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add arkhe-genesis\u002FArkhe-OS --skill bigquery-basics",{"tool":67,"command":68},"bunx","bunx skills add arkhe-genesis\u002FArkhe-OS --skill bigquery-basics",{"tool":70,"command":71},"pnpm","pnpm dlx skills add arkhe-genesis\u002FArkhe-OS --skill bigquery-basics","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbigquery-basics\u002FSKILL.md",true,[75,81,85,89,93,97],{"path":76,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":80},"references\u002Fcli-usage.md","REFERENCE","参考文档",2040,"https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbigquery-basics\u002Freferences\u002Fcli-usage.md",{"path":82,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":83,"sourceHtmlUrl":84},"references\u002Fclient-library-usage.md",2298,"https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbigquery-basics\u002Freferences\u002Fclient-library-usage.md",{"path":86,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":87,"sourceHtmlUrl":88},"references\u002Fcore-concepts.md",3442,"https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbigquery-basics\u002Freferences\u002Fcore-concepts.md",{"path":90,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":91,"sourceHtmlUrl":92},"references\u002Fiac-usage.md",1777,"https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbigquery-basics\u002Freferences\u002Fiac-usage.md",{"path":94,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":95,"sourceHtmlUrl":96},"references\u002Fiam-security.md",1987,"https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbigquery-basics\u002Freferences\u002Fiam-security.md",{"path":98,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":99,"sourceHtmlUrl":100},"references\u002Fmcp-usage.md",2351,"https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbigquery-basics\u002Freferences\u002Fmcp-usage.md",[102,124,140,159,182,199],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":49},"01M6MN97RPP1Q9BG489WHW70R8","career-ops","AI job search command center -- evaluate offers, generate CVs, scan portals, track applications","https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002Ftools\u002F.ai-integrations\u002Fvscode\u002F.claude\u002Fskills\u002Fcareer-ops\u002FSKILL.md",[],[109,110,111,112,45,113,114,115,116,117,118,119,120,121,122,123],"ops","career","career ops","track","evaluate","mode","true","command center","cvs","scan","command","offers","Job Search","search","generate",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":130,"publishedAt":49},"01M6MN93GFX8W9J1PCKDKZVD3N","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\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002Ftools\u002F.agents\u002Fskills\u002Fzoom-out\u002FSKILL.md",[],[131,132,43,133,134,135,136,137,115,138,34,37,139],"zoom out","zoom","how","context","code","it","perspective","re","understand",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":149,"publishedAt":49},"01M6MN8Y2ETBC91BGREF4D39JH","write-a-skill","Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.","https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002Ftools\u002F.agents\u002Fskills\u002Fwrite-a-skill\u002FSKILL.md",[146],{"categoryNo":147,"categoryName":148,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[150,151,152,37,38,153,154,155,156,43,157,158],"write","write a skill","progressive disclosure","new agent","structure","new skill","build","user","create",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":166,"publishedAt":49},"01M6MN8RWE2V2PPFVPD0G8FHKF","triage","Triage issues through a state machine driven by triage roles. Use when user wants to create an issue, triage issues, review incoming bugs or feature requests, prepare issues for an AFK agent, or manage issue workflow.","https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002Ftools\u002F.agents\u002Fskills\u002Ftriage\u002FSKILL.md",[165],{"categoryNo":147,"categoryName":148,"taxonomyType":21,"taxonomyTypeDesc":22},[161,167,168,158,169,170,171,172,173,40,174,43,175,176,33,177,178,179,180,181],"bugs","state machine","requests","machine","feature","roles","issue workflow","issue","issues","state","feature requests","prepare","triage issues","workflow","review",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":191,"publishedAt":49},"01M6MN8KVDBD28672WMER7HPXM","to-prd","Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.","https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002Ftools\u002F.agents\u002Fskills\u002Fto-prd\u002FSKILL.md",[188],{"categoryNo":189,"categoryName":190,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000031","产品经理",[192,193,43,157,134,194,158,174,195,136,196,197,198],"to prd","prd","publish","issue tracker","project","conversation","tracker",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":205,"publishedAt":49},"01M6MN8E9CGYVWVDDR0NJEFDBB","to-issues","Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices. Use when user wants to convert a plan into issues, create implementation tickets, or break down work into issues.","https:\u002F\u002Fgithub.com\u002Farkhe-genesis\u002FArkhe-OS\u002Fblob\u002Fmain\u002Ftools\u002F.agents\u002Fskills\u002Fto-issues\u002FSKILL.md",[],[175,206,207,196,208,209,195,210,211,198,174,212,43,157,213,214,215,193,158],"to issues","spec","down","break","break down","tickets","implementation","work","convert","plan"]