[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ACR5AMFS59XAGCMGAF579M":3,"skill-same:01M6ACR5AMFS59XAGCMGAF579M":79},{"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":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":55,"ownerHtmlUrl":56,"ownerBlogUrl":57,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M6ACR5AMFS59XAGCMGAF579M","hugegraph-operator",null,"Route HugeGraph MCP operational checks to status, schema, MCP read-only state, AI availability, and read-only verification tools. Use when the user asks to check the current graph, schema, MCP connection, readonly state, HugeGraph-AI state, counts, indexes, or readiness.","apache\u002Fhugegraph-ai","apache","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4","01M6AC83E6K4FDKK7HZ8WNMQKE","The Apache Software Foundation","01M6ACQZNB0AFESNRY6DD0M1HD",146,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fapache\u002Fhugegraph-ai\u002Fblob\u002Fmain\u002Fskills\u002Fhugegraph-operator\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"hugegraph","hugegraph operator","operator","use","when","read-only","connection","availability","readiness","route","indexes","only","readonly","schema","MCP","read","check","graph","verification","state","status","2026-11-10 10:12:30",false,"---\nname: hugegraph-operator\ndescription: Route HugeGraph MCP operational checks to status, schema, MCP read-only state, AI availability, and read-only verification tools. Use when the user asks to check the current graph, schema, MCP connection, readonly state, HugeGraph-AI state, counts, indexes, or readiness.\n---\n\n# HugeGraph Operator\n\n## Tool Routes\n\n| Goal | Tool |\n| --- | --- |\n| Quick check connection, status, MCP read-only state | `inspect_graph_tool(include_raw_schema=false)` |\n| Fetch vertex\u002Fedge counts | `inspect_graph_tool(include_counts=true)` |\n| Inspect full schema, primary keys, indexes, edge endpoints | `inspect_graph_tool(include_raw_schema=true)` |\n| Check readonly, graph, or graphspace | `inspect_graph_tool(include_raw_schema=false)` |\n| Verify whether graph data exists | `query_graph_data_tool` (bounded page or exact ID query) |\n| Get schema context before query | `inspect_graph_tool(include_raw_schema=true)` |\n| Check schema before import | `inspect_graph_tool(include_raw_schema=true)` |\n| Check schema before schema design | `inspect_graph_tool(include_raw_schema=true)` |\n| Check AI generation readiness | `inspect_graph_tool(include_raw_schema=false)`, then optionally `generate_gremlin_tool(query, execute=false)` |\n\n`inspect_graph_tool` reports `hugegraph_ai_status`, but does not expose the\n`HUGEGRAPH_MCP_ALLOW_AI` or `HUGEGRAPH_MCP_ADMIN_MODE` configuration values.\nCheck those environment variables in the server process when diagnosing a\ndisabled AI call or an admin-gated tool.\n\n## Order\n\n```text\nStatus check: inspect_graph_tool\nSchema audit: inspect_graph_tool(include_raw_schema=true)\nData verification: inspect_graph_tool(include_counts=true) -> query_graph_data_tool\n```\n\nWhen AI is disabled by configuration, `hugegraph_ai_status=\"disabled\"` is normal; no AI service check is needed. `unavailable` means an enabled AI service check failed.\n\nStructured query and plan lifecycle tools require the default `core` toolset. For a `legacy` deployment, enable `HUGEGRAPH_MCP_TOOLSET=core` and restart before using them.\n\nThese skills describe the current release with `core` \u002F `legacy`. The previous `1.7.1` release uses `v2_core` \u002F `v1`; see the [migration guide](..\u002F..\u002Fhugegraph-mcp\u002FREADME.md#toolset-naming-and-migration).\n","# HugeGraph Operator\n\n## Tool Routes\n\n| Goal | Tool |\n| --- | --- |\n| Quick check connection, status, MCP read-only state | `inspect_graph_tool(include_raw_schema=false)` |\n| Fetch vertex\u002Fedge counts | `inspect_graph_tool(include_counts=true)` |\n| Inspect full schema, primary keys, indexes, edge endpoints | `inspect_graph_tool(include_raw_schema=true)` |\n| Check readonly, graph, or graphspace | `inspect_graph_tool(include_raw_schema=false)` |\n| Verify whether graph data exists | `query_graph_data_tool` (bounded page or exact ID query) |\n| Get schema context before query | `inspect_graph_tool(include_raw_schema=true)` |\n| Check schema before import | `inspect_graph_tool(include_raw_schema=true)` |\n| Check schema before schema design | `inspect_graph_tool(include_raw_schema=true)` |\n| Check AI generation readiness | `inspect_graph_tool(include_raw_schema=false)`, then optionally `generate_gremlin_tool(query, execute=false)` |\n\n`inspect_graph_tool` reports `hugegraph_ai_status`, but does not expose the\n`HUGEGRAPH_MCP_ALLOW_AI` or `HUGEGRAPH_MCP_ADMIN_MODE` configuration values.\nCheck those environment variables in the server process when diagnosing a\ndisabled AI call or an admin-gated tool.\n\n## Order\n\n```text\nStatus check: inspect_graph_tool\nSchema audit: inspect_graph_tool(include_raw_schema=true)\nData verification: inspect_graph_tool(include_counts=true) -> query_graph_data_tool\n```\n\nWhen AI is disabled by configuration, `hugegraph_ai_status=\"disabled\"` is normal; no AI service check is needed. `unavailable` means an enabled AI service check failed.\n\nStructured query and plan lifecycle tools require the default `core` toolset. For a `legacy` deployment, enable `HUGEGRAPH_MCP_TOOLSET=core` and restart before using them.\n\nThese skills describe the current release with `core` \u002F `legacy`. The previous `1.7.1` release uses `v2_core` \u002F `v1`; see the [migration guide](..\u002F..\u002Fhugegraph-mcp\u002FREADME.md#toolset-naming-and-migration).\n",{"name":5,"description":7},"main","f85393030be2605899e26165b3c0873c368e2425","skills\u002Fhugegraph-operator",97,"https:\u002F\u002Fgithub.com\u002Fapache\u002Fhugegraph-ai","https:\u002F\u002Fhugegraph.apache.org\u002Fdocs\u002Fquickstart\u002Fhugegraph-ai\u002F","https:\u002F\u002Fgithub.com\u002Fapache","https:\u002F\u002Fwww.apache.org\u002F","2026-11-12 21:32:26",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add apache\u002Fhugegraph-ai --skill hugegraph-operator",{"tool":65,"command":66},"bunx","bunx skills add apache\u002Fhugegraph-ai --skill hugegraph-operator",{"tool":68,"command":69},"pnpm","pnpm dlx skills add apache\u002Fhugegraph-ai --skill hugegraph-operator","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fapache\u002Fhugegraph-ai\u002Fblob\u002Fmain\u002Fskills\u002Fhugegraph-operator\u002FSKILL.md",true,[73],{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"agents\u002Fopenai.yaml","REFERENCE","参考文档",1023,"https:\u002F\u002Fgithub.com\u002Fapache\u002Fhugegraph-ai\u002Fblob\u002Fmain\u002Fskills\u002Fhugegraph-operator\u002Fagents\u002Fopenai.yaml",[80,102,124,142],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":87,"publishedAt":45},"01M6ACRC6PVEJN96TS4C813K57","hugegraph-schema-designer","Route HugeGraph MCP schema design, validation, and dry-run preview tasks to stable public tools. Use when the user asks to design vertex labels, edge labels, properties, primary keys, indexes, or preview schema operations.","https:\u002F\u002Fgithub.com\u002Fapache\u002Fhugegraph-ai\u002Fblob\u002Fmain\u002Fskills\u002Fhugegraph-schema-designer\u002FSKILL.md",[86],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[88,24,89,90,37,27,28,91,92,93,94,33,34,95,96,97,98,99,100,38,101],"schema designer","hugegraph schema designer","designer","labels","keys","dry","preview","properties","operations","edge","validation","run","tasks","design",{"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":109,"publishedAt":45},"01M6ACR9Q2X621EA1YMX4ZT29T","hugegraph-regression-tester","Route HugeGraph MCP regression testing tasks to the current public tool surface, including inspection, read-only queries, Gremlin generation, extraction, controlled import, schema validate\u002Fdry-run, safety guards, and admin-gated tool checks.","https:\u002F\u002Fgithub.com\u002Fapache\u002Fhugegraph-ai\u002Fblob\u002Fmain\u002Fskills\u002Fhugegraph-regression-tester\u002FSKILL.md",[108],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[110,111,112,113,24,114,37,115,116,117,93,118,33,119,120,35,121,29,122,100,123,38,99],"regression tester","tester","regression","hugegraph regression tester","admin","testing","extraction","import","generation","queries","gremlin","tool","inspection","validate",{"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":131,"publishedAt":45},"01M6ACR7HQ0V0XSNW7FNKGNPVR","hugegraph-query-analyst","Route HugeGraph MCP structured graph query tasks to stable read-only tools. Use when the user asks graph questions, asks to generate Gremlin, provides Gremlin to explain, or needs read-only graph exploration.","https:\u002F\u002Fgithub.com\u002Fapache\u002Fhugegraph-ai\u002Fblob\u002Fmain\u002Fskills\u002Fhugegraph-query-analyst\u002FSKILL.md",[130],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[132,24,133,134,100,38,135,35,28,29,136,33,137,27,138,39,139,140,141,120,41],"hugegraph query analyst","query","analyst","generate","questions","exploration","user","explain","Tools","graph query",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":154,"publishedAt":45},"01M6ACR1ZEX5SJ5SXAQ1P7FWHE","hugegraph-data-importer","Route HugeGraph MCP graph data extraction and controlled import\u002Fdelete tasks to stable public tools. Use when the user asks to extract graph data from text, import structured vertices or edges, verify an import, or asks whether table, SQL, update, or delete graph writes are available.","https:\u002F\u002Fgithub.com\u002Fapache\u002Fhugegraph-ai\u002Fblob\u002Fmain\u002Fskills\u002Fhugegraph-data-importer\u002FSKILL.md",[148,149],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":150,"categoryName":151,"taxonomyType":152,"taxonomyTypeDesc":153},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[155,156,157,24,158,28,159,117,33,27,160,138,161,162,140,41,116,163,164,100,165,38],"importer","data","hugegraph data importer","public","Data Extraction","extract","text","verify","update","delete","sql"]