[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"org-apache":3,"repo-skills-v-0-3-0":333},{"org":4,"repos":59},{"slug":5,"name":6,"logoUrl":7,"githubOrg":5,"website":8,"skillCount":9,"repoCount":10,"topRepos":11,"topTags":27,"lastUpdatedAt":58},"apache","Apache Software Foundation","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fapache.png","https:\u002F\u002Fwww.apache.org",108,11,[12,15,18,21,24],{"name":13,"skillCount":14},"apache\u002Fmagpie",71,{"name":16,"skillCount":17},"apache\u002Fdoris-skills",14,{"name":19,"skillCount":20},"apache\u002Fcayenne",8,{"name":22,"skillCount":23},"apache\u002Fskywalking-banyandb",4,{"name":25,"skillCount":26},"apache\u002Fdoris-website",3,[28,31,34,37,40,43,46,49,52,55],{"slug":29,"name":30},"engineering","Engineering",{"slug":32,"name":33},"security","Security",{"slug":35,"name":36},"github","GitHub",{"slug":38,"name":39},"debugging","Debugging",{"slug":41,"name":42},"database","Database",{"slug":44,"name":45},"operations","Operations",{"slug":47,"name":48},"audit","Audit",{"slug":50,"name":51},"automation","Automation",{"slug":53,"name":54},"java","Java",{"slug":56,"name":57},"compliance","Compliance","2026-08-01T05:43:46.738724",[60,80,106,132,161,202,226,244,269,285,302],{"name":61,"fullName":13,"repoUrl":62,"skillCount":14,"stars":63,"forks":64,"description":65,"topics":66,"topTags":72,"topTagCount":79,"lastUpdatedAt":58},"magpie","https:\u002F\u002Fgithub.com\u002Fapache\u002Fmagpie",61,42,"Agent-assisted maintainership and development framework for Apache projects — Triage, Mentoring, Drafting (agent-authored fixes with human review), and Pairing (developer-side dev-cycle) skills shipping; Agentic Autonomous (auto-merge) on the roadmap.",[67,5,50,68,69,32,70,71],"agent-skills","claude-code","cve","vulnerability-disclosure","vulnerability-management",[73,74,75,76,77,78],{"slug":29,"name":30},{"slug":32,"name":33},{"slug":35,"name":36},{"slug":47,"name":48},{"slug":56,"name":57},{"slug":50,"name":51},40,{"name":81,"fullName":16,"repoUrl":82,"skillCount":17,"stars":83,"forks":23,"description":84,"topics":85,"topTags":91,"topTagCount":104,"lastUpdatedAt":105},"doris-skills","https:\u002F\u002Fgithub.com\u002Fapache\u002Fdoris-skills",19,"Agent skills for Apache Doris",[86,87,41,88,89,90],"agent","cli","doris","mcp","skills",[92,93,96,97,98,101],{"slug":38,"name":39},{"slug":94,"name":95},"performance","Performance",{"slug":41,"name":42},{"slug":44,"name":45},{"slug":99,"name":100},"data-engineering","Data Engineering",{"slug":102,"name":103},"monitoring","Monitoring",13,"2026-07-25T05:56:33.916729",{"name":107,"fullName":19,"repoUrl":108,"skillCount":20,"stars":109,"forks":110,"description":111,"topics":112,"topTags":118,"topTagCount":130,"lastUpdatedAt":131},"cayenne","https:\u002F\u002Fgithub.com\u002Fapache\u002Fcayenne",343,137,"Mirror of Apache Cayenne",[107,41,53,113,114,115,116,117],"library","network-client","network-server","web-framework","xml",[119,120,123,124,127],{"slug":53,"name":54},{"slug":121,"name":122},"orm","ORM",{"slug":41,"name":42},{"slug":125,"name":126},"data-modeling","Data Modeling",{"slug":128,"name":129},"sql","SQL",5,"2026-07-22T05:35:32.954513",{"name":133,"fullName":22,"repoUrl":134,"skillCount":23,"stars":135,"forks":136,"description":137,"topics":138,"topTags":146,"topTagCount":159,"lastUpdatedAt":160},"skywalking-banyandb","https:\u002F\u002Fgithub.com\u002Fapache\u002Fskywalking-banyandb",344,114,"An observability database aims to ingest, analyze and store Metrics, Tracing and Logging data.",[139,41,140,141,142,102,143,144,145],"apm","distributed-tracing","logging","metrics","observability","skywalking","time-series",[147,150,153,154,155,156],{"slug":148,"name":149},"analytics","Analytics",{"slug":151,"name":152},"build","Build",{"slug":41,"name":42},{"slug":29,"name":30},{"slug":35,"name":36},{"slug":157,"name":158},"go","Go",9,"2026-07-12T08:31:06.373309",{"name":162,"fullName":25,"repoUrl":163,"skillCount":26,"stars":164,"forks":165,"description":166,"topics":167,"topTags":182,"topTagCount":20,"lastUpdatedAt":201},"doris-website","https:\u002F\u002Fgithub.com\u002Fapache\u002Fdoris-website",129,442,"Apache Doris Website",[148,5,168,169,41,170,171,172,88,173,174,175,176,177,178,179,180,181],"big-data","data-warehousing","datalake","dbms","distributed-system","hadoop","hive","hudi","iceberg","mpp","olap","ssb","tpch","vectorized",[183,186,189,192,195,198],{"slug":184,"name":185},"documentation","Documentation",{"slug":187,"name":188},"technical-writing","Technical Writing",{"slug":190,"name":191},"communications","Communications",{"slug":193,"name":194},"deployment","Deployment",{"slug":196,"name":197},"reporting","Reporting",{"slug":199,"name":200},"seo","SEO","2026-07-19T05:38:47.44971",{"name":203,"fullName":204,"repoUrl":205,"skillCount":26,"stars":206,"forks":207,"description":208,"topics":209,"topTags":212,"topTagCount":224,"lastUpdatedAt":225},"sling-whiteboard","apache\u002Fsling-whiteboard","https:\u002F\u002Fgithub.com\u002Fapache\u002Fsling-whiteboard",48,32,"Apache Sling Whiteboard - testing ground for new ideas",[210,53,211],"experimental","sling",[213,214,215,218,220,221],{"slug":29,"name":30},{"slug":53,"name":54},{"slug":216,"name":217},"maven","Maven",{"slug":87,"name":219},"CLI",{"slug":193,"name":194},{"slug":222,"name":223},"docker","Docker",7,"2026-07-29T05:38:51.809245",{"name":227,"fullName":228,"repoUrl":229,"skillCount":230,"stars":231,"forks":232,"description":233,"topics":234,"topTags":235,"topTagCount":26,"lastUpdatedAt":243},"datafusion-python","apache\u002Fdatafusion-python","https:\u002F\u002Fgithub.com\u002Fapache\u002Fdatafusion-python",1,593,161,"Apache DataFusion Python Bindings",[],[236,239,242],{"slug":237,"name":238},"data-analysis","Data Analysis",{"slug":240,"name":241},"python","Python",{"slug":128,"name":129},"2026-07-12T08:36:04.957626",{"name":245,"fullName":246,"repoUrl":247,"skillCount":230,"stars":248,"forks":249,"description":250,"topics":251,"topTags":260,"topTagCount":267,"lastUpdatedAt":268},"ofbiz-plugins","apache\u002Fofbiz-plugins","https:\u002F\u002Fgithub.com\u002Fapache\u002Fofbiz-plugins",174,214,"Apache OFBiz is an open source product for the automation of enterprise processes. It includes framework components and business applications for ERP, CRM, E-Business\u002FE-Commerce, Supply Chain Management and Manufacturing Resource Planning. OFBiz provides a foundation and starting point for reliable, secure and scalable enterprise solutions.",[252,41,253,254,255,256,53,257,115,258,259,116,117],"content","geospatial","groovy","hacktoberfest","https","javascript","ofbiz","plugins",[261,264],{"slug":262,"name":263},"api-development","API Development",{"slug":265,"name":266},"rest-api","REST API",2,"2026-07-12T08:31:25.110226",{"name":270,"fullName":271,"repoUrl":272,"skillCount":230,"stars":273,"forks":130,"description":274,"topics":275,"topTags":280,"topTagCount":26,"lastUpdatedAt":284},"opendal-oli","apache\u002Fopendal-oli","https:\u002F\u002Fgithub.com\u002Fapache\u002Fopendal-oli",24,"`oli` stands for OpenDAL Command Line Interface. It aims to provide a unified and user-friendly way to manipulate data stored in various storage service.",[87,276,277,278,279],"fs","rust","s3","storage",[281,282,283],{"slug":50,"name":51},{"slug":87,"name":219},{"slug":99,"name":100},"2026-07-12T08:35:59.577856",{"name":286,"fullName":287,"repoUrl":288,"skillCount":230,"stars":289,"forks":290,"description":291,"topics":292,"topTags":295,"topTagCount":26,"lastUpdatedAt":301},"opendal-reqsign","apache\u002Fopendal-reqsign","https:\u002F\u002Fgithub.com\u002Fapache\u002Fopendal-reqsign",162,72,"Signing HTTP requests without heavy SDKs.",[293,294,277,278],"azblob","gcs",[296,297,298],{"slug":193,"name":194},{"slug":29,"name":30},{"slug":299,"name":300},"packaging","Packaging","2026-07-29T05:38:54.777129",{"name":303,"fullName":304,"repoUrl":305,"skillCount":230,"stars":306,"forks":307,"description":308,"topics":309,"topTags":323,"topTagCount":23,"lastUpdatedAt":332},"seatunnel-tools","apache\u002Fseatunnel-tools","https:\u002F\u002Fgithub.com\u002Fapache\u002Fseatunnel-tools",36,6,"SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.",[5,310,311,312,313,314,315,316,317,318,319,320,321,322],"batch","cdc","change-data-capture","data-ingestion","data-integration","elt","embeddings","high-performance","llm","multimodal","offline","real-time","streaming",[324,325,326,329],{"slug":50,"name":51},{"slug":99,"name":100},{"slug":327,"name":328},"data-pipeline","Data Pipeline",{"slug":330,"name":331},"etl","ETL","2026-07-16T05:59:10.321676",{"items":334,"total":17},[335,349,359,369,381,391,401,411,420,430,441,451,461,471],{"slug":336,"name":336,"fn":337,"description":338,"org":339,"tags":340,"stars":83,"repoUrl":82,"updatedAt":348},"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":5,"name":6,"logoUrl":7,"githubOrg":5},[341,345,346,347],{"name":342,"slug":343,"type":344},"Architecture","architecture","tag",{"name":100,"slug":99,"type":344},{"name":328,"slug":327,"type":344},{"name":42,"slug":41,"type":344},"2026-07-12T08:35:33.88758",{"slug":350,"name":350,"fn":351,"description":352,"org":353,"tags":354,"stars":83,"repoUrl":82,"updatedAt":358},"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":5,"name":6,"logoUrl":7,"githubOrg":5},[355,356,357],{"name":42,"slug":41,"type":344},{"name":30,"slug":29,"type":344},{"name":95,"slug":94,"type":344},"2026-07-12T08:35:32.619438",{"slug":360,"name":360,"fn":361,"description":362,"org":363,"tags":364,"stars":83,"repoUrl":82,"updatedAt":368},"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":5,"name":6,"logoUrl":7,"githubOrg":5},[365,366,367],{"name":39,"slug":38,"type":344},{"name":103,"slug":102,"type":344},{"name":45,"slug":44,"type":344},"2026-07-25T05:56:31.330361",{"slug":370,"name":370,"fn":371,"description":372,"org":373,"tags":374,"stars":83,"repoUrl":82,"updatedAt":380},"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":5,"name":6,"logoUrl":7,"githubOrg":5},[375,378,379],{"name":376,"slug":377,"type":344},"Cloud","cloud",{"name":39,"slug":38,"type":344},{"name":95,"slug":94,"type":344},"2026-07-25T05:56:24.239866",{"slug":382,"name":382,"fn":383,"description":384,"org":385,"tags":386,"stars":83,"repoUrl":82,"updatedAt":390},"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":5,"name":6,"logoUrl":7,"githubOrg":5},[387,388,389],{"name":42,"slug":41,"type":344},{"name":39,"slug":38,"type":344},{"name":95,"slug":94,"type":344},"2026-07-25T05:56:31.974921",{"slug":392,"name":392,"fn":393,"description":394,"org":395,"tags":396,"stars":83,"repoUrl":82,"updatedAt":400},"doris-debug-data-lake","debug Apache Doris data lake connectivity","Use for Doris external catalog issues: Hive\u002FIceberg\u002FPaimon\u002FHudi query failures, metadata refresh, filesystem S3\u002FHDFS connectivity, external MV rewrite misses.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[397,398,399],{"name":100,"slug":99,"type":344},{"name":42,"slug":41,"type":344},{"name":39,"slug":38,"type":344},"2026-07-25T05:56:23.920304",{"slug":402,"name":402,"fn":403,"description":404,"org":405,"tags":406,"stars":83,"repoUrl":82,"updatedAt":410},"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":5,"name":6,"logoUrl":7,"githubOrg":5},[407,408,409],{"name":39,"slug":38,"type":344},{"name":194,"slug":193,"type":344},{"name":45,"slug":44,"type":344},"2026-07-25T05:56:21.494401",{"slug":412,"name":412,"fn":413,"description":414,"org":415,"tags":416,"stars":83,"repoUrl":82,"updatedAt":105},"doris-debug-import","troubleshoot Apache Doris data import issues","Use for Doris Stream\u002FBroker\u002FRoutine Load issues and Group Commit async_mode WAL pile-up. Tunables: table group_commit_interval_ms \u002F group_commit_data_bytes; BE group_commit_insert_threads, group_commit_wal_path, group_commit_wal_max_disk_limit.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[417,418,419],{"name":100,"slug":99,"type":344},{"name":42,"slug":41,"type":344},{"name":39,"slug":38,"type":344},{"slug":421,"name":421,"fn":422,"description":423,"org":424,"tags":425,"stars":83,"repoUrl":82,"updatedAt":429},"doris-debug-materialized-view","debug Apache Doris materialized view issues","Use for Doris sync MV (rollup) miss or async MTMV refresh\u002Frewrite issues. Commands: SHOW ALTER TABLE MATERIALIZED VIEW, mv_infos(), EXPLAIN, REFRESH MATERIALIZED VIEW.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[426,427,428],{"name":42,"slug":41,"type":344},{"name":39,"slug":38,"type":344},{"name":95,"slug":94,"type":344},"2026-07-25T05:56:23.562046",{"slug":431,"name":431,"fn":432,"description":433,"org":434,"tags":435,"stars":83,"repoUrl":82,"updatedAt":440},"doris-debug-node","debug Apache Doris node failures","Use for Doris FE\u002FBE OOM, crash, or false Alive. BE: MemTrackerLimiter lines in be.WARNING; FE: JVM heap \u002F jstack. Distinguish heartbeat Alive from query\u002Fbrpc serving health.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[436,437,439],{"name":39,"slug":38,"type":344},{"name":438,"slug":143,"type":344},"Observability",{"name":95,"slug":94,"type":344},"2026-07-25T05:56:31.002395",{"slug":442,"name":442,"fn":443,"description":444,"org":445,"tags":446,"stars":83,"repoUrl":82,"updatedAt":450},"doris-debug-query","diagnose Apache Doris query performance","Use for Apache Doris slow\u002Fhanging\u002Ftimeout queries. Covers FE planner (Nereids timeout), BE Profile bottlenecks, and Exchange WaitForData \u002F brpc E1008 on port 8060. Session vars: enable_profile, query_timeout, nereids_timeout_second.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[447,448,449],{"name":39,"slug":38,"type":344},{"name":103,"slug":102,"type":344},{"name":95,"slug":94,"type":344},"2026-07-25T05:56:21.12386",{"slug":452,"name":452,"fn":453,"description":454,"org":455,"tags":456,"stars":83,"repoUrl":82,"updatedAt":460},"doris-debug-resource-isolation","debug Apache Doris resource isolation issues","Use for Doris Workload Group \u002F resource tag queue starvation, CPU\u002Fmemory isolation leaks, and workload policy debugging. Commands: SHOW WORKLOAD GROUPS, EXPLAIN resource.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[457,458,459],{"name":39,"slug":38,"type":344},{"name":45,"slug":44,"type":344},{"name":95,"slug":94,"type":344},"2026-07-25T05:56:20.804232",{"slug":462,"name":462,"fn":463,"description":464,"org":465,"tags":466,"stars":83,"repoUrl":82,"updatedAt":470},"doris-debug-tablet","manage Apache Doris tablet and replica health","Use for Doris tablet\u002Freplica health, version skew, clone backlog, disk balance, and tablet repair. Commands: SHOW PROC tablet_health, SHOW TABLET, ADMIN REPAIR.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[467,468,469],{"name":42,"slug":41,"type":344},{"name":39,"slug":38,"type":344},{"name":45,"slug":44,"type":344},"2026-07-25T05:56:31.638965",{"slug":472,"name":472,"fn":473,"description":474,"org":475,"tags":476,"stars":83,"repoUrl":82,"updatedAt":480},"doris-profile-reader","analyze Apache Doris query profiles","Interpret Apache Doris query runtime profiles, especially profile bottleneck triage, misleading wait counters, per-operator metric priority, scan, join-order\u002Fruntime-filter analysis, and evidence-bounded performance explanations. Use when given a Doris profile, query id, profile URL\u002Ftext, or a request to explain Doris query performance.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[477,478,479],{"name":149,"slug":148,"type":344},{"name":39,"slug":38,"type":344},{"name":95,"slug":94,"type":344},"2026-07-12T08:35:36.788049"]