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...\naws_secret_access_key = ...\naws_region = us-east-1\n",[678],{"type":46,"tag":121,"props":679,"children":680},{"__ignoreMap":321},[681,689,697,705],{"type":46,"tag":327,"props":682,"children":683},{"class":329,"line":330},[684],{"type":46,"tag":327,"props":685,"children":686},{},[687],{"type":52,"value":688},"# be.conf — S3 credential chain\n",{"type":46,"tag":327,"props":690,"children":691},{"class":329,"line":339},[692],{"type":46,"tag":327,"props":693,"children":694},{},[695],{"type":52,"value":696},"aws_access_key_id = ...\n",{"type":46,"tag":327,"props":698,"children":699},{"class":329,"line":348},[700],{"type":46,"tag":327,"props":701,"children":702},{},[703],{"type":52,"value":704},"aws_secret_access_key = ...\n",{"type":46,"tag":327,"props":706,"children":707},{"class":329,"line":26},[708],{"type":46,"tag":327,"props":709,"children":710},{},[711],{"type":52,"value":712},"aws_region = us-east-1\n",{"type":46,"tag":316,"props":714,"children":716},{"className":445,"code":715,"language":447,"meta":321,"style":321},"# Test S3 reachability from BE host\ncurl -I \"https:\u002F\u002F\u003Cbucket>.s3.\u003Cregion>.amazonaws.com\"\n",[717],{"type":46,"tag":121,"props":718,"children":719},{"__ignoreMap":321},[720,728],{"type":46,"tag":327,"props":721,"children":722},{"class":329,"line":330},[723],{"type":46,"tag":327,"props":724,"children":725},{"style":457},[726],{"type":52,"value":727},"# Test S3 reachability from BE host\n",{"type":46,"tag":327,"props":729,"children":730},{"class":329,"line":339},[731,736,741,745,750],{"type":46,"tag":327,"props":732,"children":733},{"style":466},[734],{"type":52,"value":735},"curl",{"type":46,"tag":327,"props":737,"children":738},{"style":472},[739],{"type":52,"value":740}," -I",{"type":46,"tag":327,"props":742,"children":743},{"style":488},[744],{"type":52,"value":491},{"type":46,"tag":327,"props":746,"children":747},{"style":472},[748],{"type":52,"value":749},"https:\u002F\u002F\u003Cbucket>.s3.\u003Cregion>.amazonaws.com",{"type":46,"tag":327,"props":751,"children":752},{"style":488},[753],{"type":52,"value":502},{"type":46,"tag":316,"props":755,"children":757},{"className":654,"code":756,"language":656,"meta":321,"style":321},"# fe.conf for HDFS catalog\nhadoop_conf_dir = \u002Fpath\u002Fto\u002Fhadoop\u002Fconf  # must contain core-site.xml + hdfs-site.xml\n",[758],{"type":46,"tag":121,"props":759,"children":760},{"__ignoreMap":321},[761,769],{"type":46,"tag":327,"props":762,"children":763},{"class":329,"line":330},[764],{"type":46,"tag":327,"props":765,"children":766},{},[767],{"type":52,"value":768},"# fe.conf for HDFS catalog\n",{"type":46,"tag":327,"props":770,"children":771},{"class":329,"line":339},[772],{"type":46,"tag":327,"props":773,"children":774},{},[775],{"type":52,"value":776},"hadoop_conf_dir = \u002Fpath\u002Fto\u002Fhadoop\u002Fconf  # must contain core-site.xml + hdfs-site.xml\n",{"type":46,"tag":55,"props":778,"children":780},{"id":779},"cause-e-credential-rotation",[781],{"type":52,"value":782},"Cause E — Credential rotation",{"type":46,"tag":603,"props":784,"children":785},{},[786],{"type":52,"value":787},"For STS\u002FAssumeRole-based S3 access, the cached credential may expire:",{"type":46,"tag":316,"props":789,"children":791},{"className":318,"code":790,"language":320,"meta":321,"style":321},"-- Force credential refresh (Doris 2.1+ \u002F 3.0)\nREFRESH CATALOG hive_catalog;\n",[792],{"type":46,"tag":121,"props":793,"children":794},{"__ignoreMap":321},[795,803],{"type":46,"tag":327,"props":796,"children":797},{"class":329,"line":330},[798],{"type":46,"tag":327,"props":799,"children":800},{},[801],{"type":52,"value":802},"-- Force credential refresh (Doris 2.1+ \u002F 3.0)\n",{"type":46,"tag":327,"props":804,"children":805},{"class":329,"line":339},[806],{"type":46,"tag":327,"props":807,"children":808},{},[809],{"type":52,"value":372},{"type":46,"tag":603,"props":811,"children":812},{},[813],{"type":52,"value":814},"For long-running queries against external tables, ensure credential TTL > query timeout.",{"type":46,"tag":55,"props":816,"children":818},{"id":817},"source",[819],{"type":52,"value":820},"Source",{"type":46,"tag":822,"props":823,"children":824},"ul",{},[825,835,844,855,866,877],{"type":46,"tag":826,"props":827,"children":828},"li",{},[829],{"type":46,"tag":121,"props":830,"children":832},{"className":831},[],[833],{"type":52,"value":834},"fe\u002F...\u002Fdatasource\u002Fhive\u002FHMSExternalCatalog.java",{"type":46,"tag":826,"props":836,"children":837},{},[838],{"type":46,"tag":121,"props":839,"children":841},{"className":840},[],[842],{"type":52,"value":843},"fe\u002F...\u002Fdatasource\u002Fhive\u002FHMSClient.java",{"type":46,"tag":826,"props":845,"children":846},{},[847,853],{"type":46,"tag":121,"props":848,"children":850},{"className":849},[],[851],{"type":52,"value":852},"be\u002Fsrc\u002Fio\u002Ffs\u002Fs3\u002FS3FileSystem.cpp",{"type":52,"value":854}," — S3 connector",{"type":46,"tag":826,"props":856,"children":857},{},[858,864],{"type":46,"tag":121,"props":859,"children":861},{"className":860},[],[862],{"type":52,"value":863},"be\u002Fsrc\u002Fio\u002Ffs\u002Fhdfs\u002FHdfsFileSystem.cpp",{"type":52,"value":865}," — HDFS connector",{"type":46,"tag":826,"props":867,"children":868},{},[869,875],{"type":46,"tag":121,"props":870,"children":872},{"className":871},[],[873],{"type":52,"value":874},"be\u002Fsrc\u002Fvec\u002Fexec\u002Fformat\u002Fparquet\u002Fvparquet_reader.cpp",{"type":52,"value":876}," — parquet reader",{"type":46,"tag":826,"props":878,"children":879},{},[880,886],{"type":46,"tag":121,"props":881,"children":883},{"className":882},[],[884],{"type":52,"value":885},"fe\u002F...\u002Fmtmv\u002FMTMVService.java",{"type":52,"value":887}," — external MV rewrite",{"type":46,"tag":889,"props":890,"children":891},"style",{},[892],{"type":52,"value":893},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":895,"total":1047},[896,913,927,940,953,966,984,995,1005,1016,1026,1036],{"slug":897,"name":897,"fn":898,"description":899,"org":900,"tags":901,"stars":910,"repoUrl":911,"updatedAt":912},"datafusion-python","write Apache DataFusion Python code","Use when the user is writing datafusion-python (Apache DataFusion Python bindings) DataFrame or SQL code. Covers imports, data loading, DataFrame operations, expression building, SQL-to-DataFrame mappings, idiomatic patterns, and common pitfalls.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[902,905,908],{"name":903,"slug":904,"type":15},"Data Analysis","data-analysis",{"name":906,"slug":907,"type":15},"Python","python",{"name":909,"slug":320,"type":15},"SQL",593,"https:\u002F\u002Fgithub.com\u002Fapache\u002Fdatafusion-python","2026-07-12T08:36:04.957626",{"slug":914,"name":914,"fn":915,"description":916,"org":917,"tags":918,"stars":924,"repoUrl":925,"updatedAt":926},"bydbql","generate and execute BanyanDB BydbQL queries","Generate, validate, and optionally execute read-only BanyanDB BydbQL for STREAM, MEASURE, TRACE, and PROPERTY resources. Use when the user asks to query BanyanDB, translate natural language to BydbQL, inspect BanyanDB schema or data, validate BydbQL, or fetch raw BanyanDB records.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[919,922,923],{"name":920,"slug":921,"type":15},"Analytics","analytics",{"name":17,"slug":18,"type":15},{"name":909,"slug":320,"type":15},344,"https:\u002F\u002Fgithub.com\u002Fapache\u002Fskywalking-banyandb","2026-07-12T08:31:01.294423",{"slug":928,"name":928,"fn":929,"description":930,"org":931,"tags":932,"stars":924,"repoUrl":925,"updatedAt":939},"compiling","compile and build BanyanDB projects","Compile and build the SkyWalking BanyanDB project. Use when the user asks to compile, build, or generate code for this project.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[933,936],{"name":934,"slug":935,"type":15},"Build","build",{"name":937,"slug":938,"type":15},"Engineering","engineering","2026-07-12T08:31:06.373309",{"slug":941,"name":941,"fn":942,"description":943,"org":944,"tags":945,"stars":924,"repoUrl":925,"updatedAt":952},"gh-pull-request","create GitHub pull requests for BanyanDB","Create a GitHub pull request for SkyWalking BanyanDB. Use when the user asks to create a PR, submit changes, or open a pull request.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[946,949],{"name":947,"slug":948,"type":15},"GitHub","github",{"name":950,"slug":951,"type":15},"Pull Requests","pull-requests","2026-07-12T08:31:03.792415",{"slug":954,"name":954,"fn":955,"description":956,"org":957,"tags":958,"stars":924,"repoUrl":925,"updatedAt":965},"vendor-update","update Go and Node.js vendor dependencies","Upgrade Go\u002FNode.js vendor dependencies and sync tool versions. Use whenever the user says \"upgrade dependencies\", \"update vendors\", \"vendor update\", \"run vendor-upgrade\", \"bump dependencies\", \"update packages\", or asks to run the `vendor-update` Make target. This skill also checks `scripts\u002Fbuild\u002Fversion.mk` after upgrading to see if any tracked tool versions need updating too, and removes stale binaries from `bin\u002F` when versions change.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[959,962],{"name":960,"slug":961,"type":15},"Go","go",{"name":963,"slug":964,"type":15},"Node.js","node-js","2026-07-12T08:31:02.555555",{"slug":967,"name":967,"fn":968,"description":969,"org":970,"tags":971,"stars":981,"repoUrl":982,"updatedAt":983},"cayenne-cgen","generate Cayenne entity Java classes","Use this skill whenever the user wants to (re)generate Cayenne entity Java classes from a DataMap. Trigger on phrases like 'generate Java classes', 'regenerate entities', 'run cgen', 'create the entity classes', 'why is the Artist class missing fields', 'where did the `_Abstract*` classes come from', 'sync the entity classes with the model', or any request to materialize Java from the DataMap. Also trigger as a follow-up after modeling changes (someone added an entity, attribute, or relationship and now the Java side is stale). This skill exclusively uses the `mcp__cayenne__cgen_run` MCP tool — it does NOT use `mvn cayenne:cgen` or the Gradle cgen task.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[972,975,978],{"name":973,"slug":974,"type":15},"Data Modeling","data-modeling",{"name":976,"slug":977,"type":15},"Java","java",{"name":979,"slug":980,"type":15},"ORM","orm",343,"https:\u002F\u002Fgithub.com\u002Fapache\u002Fcayenne","2026-07-12T08:32:33.575211",{"slug":985,"name":985,"fn":986,"description":987,"org":988,"tags":989,"stars":981,"repoUrl":982,"updatedAt":994},"cayenne-db-import","import database schema into Cayenne DataMaps","Use this skill when the user wants to import database schema metadata into a Cayenne DataMap — the *model\u002Fmapping only*, not names or Java classes. Trigger on phrases like 'reverse engineer the database', 'import the schema', 'generate a DataMap from my DB', 'add the new tables from the DB into the model', 'import the customer table', 'create entities from these tables', or any request to read database metadata to populate or update a DataMap's XML. This is for *full schema* or *bulk table* import; one-off a-la-carte entity additions belong in the cayenne-modeling skill. IMPORTANT — scope: this imports the mapping ONLY; it does not clean up the Object-layer names or (re)generate Java classes. When the user wants their whole project brought in line with the DB ('sync my project with the database', 'my schema changed, update everything', 'update my entities\u002Fclasses from the DB'), that is the end-to-end `cayenne-full-db-sync` skill, which runs this import and then name cleanup and class generation. To regenerate classes alone use `cayenne-cgen`. The skill runs reverse engineering directly via the `mcp__cayenne__dbimport_run` MCP tool when a DBConnector is already configured; otherwise it opens the CayenneModeler GUI via `mcp__cayenne__open_project` to configure the connection first.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[990,991,992,993],{"name":17,"slug":18,"type":15},{"name":976,"slug":977,"type":15},{"name":979,"slug":980,"type":15},{"name":909,"slug":320,"type":15},"2026-07-19T05:40:33.655062",{"slug":996,"name":996,"fn":997,"description":998,"org":999,"tags":1000,"stars":981,"repoUrl":982,"updatedAt":1004},"cayenne-full-db-sync","synchronize Cayenne projects with database","Use this skill when the user wants to bring their WHOLE Cayenne project in line with the database in one shot — the mapping, the Object-layer names, and the generated Java classes together. This is the end-to-end 'sync with the DB' workflow, and it orchestrates three skills in order: `cayenne-db-import` (import schema metadata into the DataMap) → `cayenne-model-naming` (polish the just-imported names) → `cayenne-cgen` (regenerate Java classes). Trigger on holistic phrases like 'sync my project with the database', 'sync with the DB', 'my schema changed, update everything', 'update my entities\u002Fclasses from the database', 'reverse engineer and regenerate the classes', 'import the new tables and rebuild the entities', 'full DB sync', 'bring the model and classes up to date with the DB'. The distinguishing signal is scope: the user wants the whole project (mapping + names + Java code), not just one stage. For the *model\u002Fmapping only* (no name cleanup, no class generation) use `cayenne-db-import`; to (re)generate classes alone use `cayenne-cgen`; to clean names alone use `cayenne-model-naming`. Uses the `mcp__cayenne__dbimport_run` and `mcp__cayenne__cgen_run` MCP tools via the sub-skills; does NOT use Maven or Gradle goals.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1001,1002,1003],{"name":17,"slug":18,"type":15},{"name":976,"slug":977,"type":15},{"name":979,"slug":980,"type":15},"2026-07-19T06:03:49.112969",{"slug":1006,"name":1006,"fn":1007,"description":1008,"org":1009,"tags":1010,"stars":981,"repoUrl":982,"updatedAt":1015},"cayenne-model-naming","clean up Cayenne object-layer names","Use this skill to clean up Object-layer names in a Cayenne DataMap — ObjEntity, ObjAttribute, and ObjRelationship names, plus DbRelationship names (the first-class unit of relationship cleanup — every FK has one whether or not an ObjRelationship was generated; the ObjRelationship name is synced to it when one exists) — so they read as descriptive, consistent Java. Trigger on phrases like 'clean up the model names', 'fix the entity names', 'these names look ugly', 'make the names descriptive', 'normalize the ObjEntity\u002Fattribute\u002Frelationship names', 'why is this relationship called team1', 'rename entities to be consistent', 'the import produced Gametype instead of GameType'. Invoke it on an explicit user request, or as a manual follow-up after a `cayenne-db-import` to polish the just-imported additions — it is never triggered automatically. IMPORTANT: this is a LIGHT polish pass — CayenneModeler's reverse-engineering already produces good names for the common case; only improve the specific things its deterministic algorithm cannot (run-together names with no separators like `gametype`, meaningless numbered names like `team1` from multiple relationships between two tables, and a common entity prefix that leaks into relationship names like `aaOrders`). Do NOT rewrite names that are already correct. This is Obj-layer naming polish; for structural model edits use `cayenne-modeling`, and for regenerating classes afterward use `cayenne-cgen`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1011,1012,1013,1014],{"name":973,"slug":974,"type":15},{"name":17,"slug":18,"type":15},{"name":976,"slug":977,"type":15},{"name":979,"slug":980,"type":15},"2026-07-22T05:35:32.342548",{"slug":1017,"name":1017,"fn":1018,"description":1019,"org":1020,"tags":1021,"stars":981,"repoUrl":982,"updatedAt":1025},"cayenne-modeler","manage Cayenne projects with CayenneModeler","Use this skill when the user explicitly wants to open CayenneModeler (the GUI) on a Cayenne project, or when the modeling task is inherently visual — reverse engineering (delegated to cayenne-db-import), bulk relationship layout, multi-entity visual refactoring. Trigger on phrases like 'open the Modeler', 'open in CayenneModeler', 'launch the GUI', 'edit visually', 'show me the project in the Modeler'. Do NOT trigger as a fallback for ordinary a-la-carte XML edits — those belong in the cayenne-modeling skill, which is faster and doesn't require the user to context-switch.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1022,1023,1024],{"name":973,"slug":974,"type":15},{"name":976,"slug":977,"type":15},{"name":979,"slug":980,"type":15},"2026-07-12T08:32:37.199428",{"slug":1027,"name":1027,"fn":1028,"description":1029,"org":1030,"tags":1031,"stars":981,"repoUrl":982,"updatedAt":1035},"cayenne-modeling","edit and extend Cayenne ORM models","Use this skill whenever the user wants to edit, inspect, or extend the Cayenne ORM model in a project — adding or modifying entities, attributes, relationships, embeddables, named queries, stored procedures, or DataNodes. Trigger on phrases like 'add an ObjEntity', 'add a DbEntity', 'add a relationship', 'expose this column as an attribute', 'create a new DataMap', 'add a named query', 'create an embeddable', 'add a stored procedure', 'change the attribute type', 'mark this column as nullable', 'rename this entity', or any mention of a Cayenne `*.map.xml` or `cayenne-*.xml` file. Also trigger when the user references modeling concepts (ObjEntity, DbEntity, ObjAttribute, DbAttribute, ObjRelationship, DbRelationship, Embeddable, dbEntityName, deleteRule, db-attribute-path, db-relationship-path, defaultPackage) in the context of a Cayenne-using app. This is the *primary* skill for a-la-carte ORM model manipulation — direct XML edits, not the Modeler GUI.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1032,1033,1034],{"name":17,"slug":18,"type":15},{"name":976,"slug":977,"type":15},{"name":979,"slug":980,"type":15},"2026-07-19T05:40:32.6889",{"slug":1037,"name":1037,"fn":1038,"description":1039,"org":1040,"tags":1041,"stars":981,"repoUrl":982,"updatedAt":1046},"cayenne-query","write and modify Cayenne database queries","Use this skill whenever the user wants to write or modify a Cayenne query — fetching entities by criteria, joining, prefetching to avoid N+1, ordering, paginating, aggregating, or running raw SQL through Cayenne. Trigger on phrases like 'query for X', 'fetch all artists where ...', 'write an ObjectSelect', 'use SQLSelect', 'use SelectById', 'add a prefetch', 'get distinct values', 'count rows', 'find by ID', 'load by primary key', 'build a Cayenne expression', 'why am I getting N+1', 'how do I paginate', 'select a single column', 'select columns into a DTO', 'named query in the DataMap'. Do NOT trigger for modeling changes (use cayenne-modeling) or runtime bootstrap (use cayenne-runtime).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1042,1043,1044,1045],{"name":17,"slug":18,"type":15},{"name":976,"slug":977,"type":15},{"name":979,"slug":980,"type":15},{"name":909,"slug":320,"type":15},"2026-07-12T08:32:35.072322",108,{"items":1049,"total":1131},[1050,1065,1077,1091,1103,1113,1119],{"slug":1051,"name":1051,"fn":1052,"description":1053,"org":1054,"tags":1055,"stars":22,"repoUrl":23,"updatedAt":1064},"doris-architecture-advisor","design Apache Doris data architectures","Workload-aware architecture design for Apache Doris. MUST USE when designing data architectures, choosing between data models, planning ingestion strategies, sizing clusters, or translating business requirements into Apache Doris system designs. Complements doris-best-practices with decision frameworks and sizing-first workflow. Use when user describes a workload involving: IoT, sensor data, telemetry, real-time analytics, dashboard, log analysis, log search, CDC sync, time-series, device monitoring, point query service, ad-hoc analytics, lakehouse federation, ETL\u002FELT pipeline, report analytics, clickstream, user behavior, observability, metrics, fleet tracking, or any OLAP workload requiring table design from scratch. Also triggers on prompts like: \"design a table for...\", \"how should I store...\", \"build an architecture for...\", \"we have X devices sending data every Y seconds\", \"recommend a cluster size for...\", \"what data model should I use for...\", \"we need to ingest X GB\u002Fday\", \"migrate from MySQL\u002FPostgreSQL to Apache Doris\". Also use for legacy analytics\u002Fsearch\u002Fserving stack consolidation prompts even when Apache Doris is not named explicitly, including replacing or migrating from Impala, Kudu, Elasticsearch\u002FES, Greenplum, Presto, HBase, Hive, Hadoop, Redis, or Lambda-style multi-engine data platforms.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1056,1059,1060,1063],{"name":1057,"slug":1058,"type":15},"Architecture","architecture",{"name":13,"slug":14,"type":15},{"name":1061,"slug":1062,"type":15},"Data Pipeline","data-pipeline",{"name":17,"slug":18,"type":15},"2026-07-12T08:35:33.88758",{"slug":1066,"name":1066,"fn":1067,"description":1068,"org":1069,"tags":1070,"stars":22,"repoUrl":23,"updatedAt":1076},"doris-best-practices","optimize Apache Doris table design and clusters","Apache Doris table design and cluster sizing best practices. MUST USE when writing, reviewing, or optimizing Doris CREATE TABLE statements, partition\u002Fbucket strategies, data models, or cluster configurations. ALSO MUST USE whenever the doris-architecture-advisor skill produces DDL — apply the Pre-Flight Checklist to every CREATE TABLE before output. Also triggers on any workload design involving: IoT, analytics, dashboard, CDC, time-series, log analysis, real-time warehouse, point query, data platform, or any scenario where table design decisions are being made. Also triggers on replacing or migrating from legacy analytics\u002Fsearch\u002Fserving stacks such as Impala, Kudu, Elasticsearch\u002FES, Greenplum, Presto, HBase, Hive, Hadoop, Redis, or Lambda-style multi-engine data platforms, even when Apache Doris is not named explicitly. Also use when user provides an Apache Doris connection string or asks to get started. Also triggers on slow query investigation, query profiling, runtime performance diagnosis, tablet skew analysis, and table health checks — any scenario where runtime evidence (profile output, tablet distribution) informs optimization. Cluster lifecycle, billing, and networking are managed-service operations, out of scope here — use your platform's cluster-management console for those.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1071,1072,1073],{"name":17,"slug":18,"type":15},{"name":937,"slug":938,"type":15},{"name":1074,"slug":1075,"type":15},"Performance","performance","2026-07-12T08:35:32.619438",{"slug":1078,"name":1078,"fn":1079,"description":1080,"org":1081,"tags":1082,"stars":22,"repoUrl":23,"updatedAt":1090},"doris-debug","diagnose Apache Doris production issues","Apache Doris production diagnostics router. Use when Apache Doris queries are slow, imports are failing or timing out, compaction is raising -235 errors, nodes are OOM or crashing, materialized views are not rewriting, or tablet\u002Freplica health is degraded. Routes to the appropriate doris-debug-* skill. Covers shared-nothing and cloud (storage-compute separation) deployments.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1083,1084,1087],{"name":20,"slug":21,"type":15},{"name":1085,"slug":1086,"type":15},"Monitoring","monitoring",{"name":1088,"slug":1089,"type":15},"Operations","operations","2026-07-25T05:56:31.330361",{"slug":1092,"name":1092,"fn":1093,"description":1094,"org":1095,"tags":1096,"stars":22,"repoUrl":23,"updatedAt":1102},"doris-debug-cloud","debug Apache Doris cloud mode issues","Use for Doris storage-compute separation (cloud mode) issues: meta-service latency, cache miss storms, object store throughput, and shared-nothing config conflicts in compute groups.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1097,1100,1101],{"name":1098,"slug":1099,"type":15},"Cloud","cloud",{"name":20,"slug":21,"type":15},{"name":1074,"slug":1075,"type":15},"2026-07-25T05:56:24.239866",{"slug":1104,"name":1104,"fn":1105,"description":1106,"org":1107,"tags":1108,"stars":22,"repoUrl":23,"updatedAt":1112},"doris-debug-compaction","resolve Apache Doris compaction lag","Use for Doris -235 \u002F too many versions and compaction lag. Error raised in RowsetBuilder::check_tablet_version_count when version_count > max_tablet_version_num (default 2000) or meta serialize size limit.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1109,1110,1111],{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"name":1074,"slug":1075,"type":15},"2026-07-25T05:56:31.974921",{"slug":4,"name":4,"fn":5,"description":6,"org":1114,"tags":1115,"stars":22,"repoUrl":23,"updatedAt":24},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1116,1117,1118],{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"slug":1120,"name":1120,"fn":1121,"description":1122,"org":1123,"tags":1124,"stars":22,"repoUrl":23,"updatedAt":1130},"doris-debug-deployment","troubleshoot Apache Doris deployment failures","Use for Doris FE\u002FBE startup failures, port conflicts, priority_networks misrouting, meta_dir corruption, and ADD\u002FDROP BACKEND issues.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1125,1126,1129],{"name":20,"slug":21,"type":15},{"name":1127,"slug":1128,"type":15},"Deployment","deployment",{"name":1088,"slug":1089,"type":15},"2026-07-25T05:56:21.494401",14]