[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-databricks-databricks-dabs":3,"mdc--gc9axs-key":33,"related-org-databricks-databricks-dabs":310,"related-repo-databricks-databricks-dabs":491},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":29,"sourceUrl":31,"mdContent":32},"databricks-dabs","manage Databricks Declarative Automation Bundles","Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"databricks","Databricks","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fdatabricks.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Configuration","configuration","tag",{"name":17,"slug":18,"type":15},"Automation","automation",{"name":20,"slug":21,"type":15},"Deployment","deployment",{"name":9,"slug":8,"type":15},204,"https:\u002F\u002Fgithub.com\u002Fdatabricks\u002Fdatabricks-agent-skills","2026-07-15T05:41:35.930355",null,60,[],{"repoUrl":24,"stars":23,"forks":27,"topics":30,"description":26},[],"https:\u002F\u002Fgithub.com\u002Fdatabricks\u002Fdatabricks-agent-skills\u002Ftree\u002FHEAD\u002Fplugins\u002Fdatabricks\u002Fcopilot\u002Fskills\u002Fdatabricks-dabs","---\nname: databricks-dabs\ndescription: 'Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.'\n---\n\n# Declarative Automation Bundles (DABs)\n\nUse this skill for any bundle-related request including creating, configuring, validating, deploying, running, and managing Databricks resources through DABs.\n\n## Reference Documentation\n\nThe following reference files provide detailed guidance for specific bundle tasks:\n\n- **[Bundle Structure](references\u002Fbundle-structure.md)** - Bundle structure, databricks.yml configuration, resource definitions, path resolution, variables, and multi-environment targets\n- **[SDP Pipelines](references\u002Fsdp-pipelines.md)** - Spark Declarative Pipeline configurations for DABs\n- **[SQL Alerts](references\u002Falerts.md)** - SQL Alert schemas and configuration (critical - API differs from other resources)\n- **[Deploy and Run](references\u002Fdeploy-and-run.md)** - Validation, deployment, running resources, monitoring logs, and troubleshooting common issues\n- **[Resource Permissions](references\u002Fresource-permissions.md)** - Permission levels and access control for bundle resources, per-resource-type levels, grants vs permissions\n\n## When to Use This Skill\n\nLoad this skill for any request involving:\n\n- Creating new bundle projects or resources\n- Configuring databricks.yml or resource YAML files\n- Setting up multi-environment deployments (dev\u002Fprod targets)\n- Deploying or running bundle resources\n- Managing permissions for bundle resources\n- Troubleshooting bundle validation or deployment errors\n- Working with specific resource types (dashboards, jobs, pipelines, alerts, volumes, apps)\n\n## General Guidelines\n\n1. **Always validate after configuration changes** - Use `bundle validate --strict --target \u003Ctarget>` after any change\n2. **Use reference documentation** - Consult the appropriate reference file for detailed patterns and examples\n3. **Follow naming conventions** - Resource files should use `\u003Cname>.\u003Cresource_type>.yml` format\n4. **Path resolution is critical** - Paths differ based on file location (see Bundle Structure reference)\n5. **Preserve existing structure** - Keep user comments and structure when editing YAML files\n6. **Use variables** - Parameterize catalog, schema, and warehouse for multi-environment support\n\n## Documentation\n\n- [Declarative Automation Bundles](https:\u002F\u002Fdocs.databricks.com\u002Fdev-tools\u002Fbundles\u002F)\n- [Bundle Examples Repository](https:\u002F\u002Fgithub.com\u002Fdatabricks\u002Fbundle-examples) - official end-to-end example bundles (jobs, pipelines, dashboards, apps, and more); use as working references for patterns not covered by the reference files above\n",{"data":34,"body":35},{"name":4,"description":6},{"type":36,"children":37},"root",[38,47,53,60,65,142,148,153,191,197,278,284],{"type":39,"tag":40,"props":41,"children":43},"element","h1",{"id":42},"declarative-automation-bundles-dabs",[44],{"type":45,"value":46},"text","Declarative Automation Bundles (DABs)",{"type":39,"tag":48,"props":49,"children":50},"p",{},[51],{"type":45,"value":52},"Use this skill for any bundle-related request including creating, configuring, validating, deploying, running, and managing Databricks resources through DABs.",{"type":39,"tag":54,"props":55,"children":57},"h2",{"id":56},"reference-documentation",[58],{"type":45,"value":59},"Reference Documentation",{"type":39,"tag":48,"props":61,"children":62},{},[63],{"type":45,"value":64},"The following reference files provide detailed guidance for specific bundle tasks:",{"type":39,"tag":66,"props":67,"children":68},"ul",{},[69,86,100,114,128],{"type":39,"tag":70,"props":71,"children":72},"li",{},[73,84],{"type":39,"tag":74,"props":75,"children":76},"strong",{},[77],{"type":39,"tag":78,"props":79,"children":81},"a",{"href":80},"references\u002Fbundle-structure.md",[82],{"type":45,"value":83},"Bundle Structure",{"type":45,"value":85}," - Bundle structure, databricks.yml configuration, resource definitions, path resolution, variables, and multi-environment targets",{"type":39,"tag":70,"props":87,"children":88},{},[89,98],{"type":39,"tag":74,"props":90,"children":91},{},[92],{"type":39,"tag":78,"props":93,"children":95},{"href":94},"references\u002Fsdp-pipelines.md",[96],{"type":45,"value":97},"SDP Pipelines",{"type":45,"value":99}," - Spark Declarative Pipeline configurations for DABs",{"type":39,"tag":70,"props":101,"children":102},{},[103,112],{"type":39,"tag":74,"props":104,"children":105},{},[106],{"type":39,"tag":78,"props":107,"children":109},{"href":108},"references\u002Falerts.md",[110],{"type":45,"value":111},"SQL Alerts",{"type":45,"value":113}," - SQL Alert schemas and configuration (critical - API differs from other resources)",{"type":39,"tag":70,"props":115,"children":116},{},[117,126],{"type":39,"tag":74,"props":118,"children":119},{},[120],{"type":39,"tag":78,"props":121,"children":123},{"href":122},"references\u002Fdeploy-and-run.md",[124],{"type":45,"value":125},"Deploy and Run",{"type":45,"value":127}," - Validation, deployment, running resources, monitoring logs, and troubleshooting common issues",{"type":39,"tag":70,"props":129,"children":130},{},[131,140],{"type":39,"tag":74,"props":132,"children":133},{},[134],{"type":39,"tag":78,"props":135,"children":137},{"href":136},"references\u002Fresource-permissions.md",[138],{"type":45,"value":139},"Resource Permissions",{"type":45,"value":141}," - Permission levels and access control for bundle resources, per-resource-type levels, grants vs permissions",{"type":39,"tag":54,"props":143,"children":145},{"id":144},"when-to-use-this-skill",[146],{"type":45,"value":147},"When to Use This Skill",{"type":39,"tag":48,"props":149,"children":150},{},[151],{"type":45,"value":152},"Load this skill for any request involving:",{"type":39,"tag":66,"props":154,"children":155},{},[156,161,166,171,176,181,186],{"type":39,"tag":70,"props":157,"children":158},{},[159],{"type":45,"value":160},"Creating new bundle projects or resources",{"type":39,"tag":70,"props":162,"children":163},{},[164],{"type":45,"value":165},"Configuring databricks.yml or resource YAML files",{"type":39,"tag":70,"props":167,"children":168},{},[169],{"type":45,"value":170},"Setting up multi-environment deployments (dev\u002Fprod targets)",{"type":39,"tag":70,"props":172,"children":173},{},[174],{"type":45,"value":175},"Deploying or running bundle resources",{"type":39,"tag":70,"props":177,"children":178},{},[179],{"type":45,"value":180},"Managing permissions for bundle resources",{"type":39,"tag":70,"props":182,"children":183},{},[184],{"type":45,"value":185},"Troubleshooting bundle validation or deployment errors",{"type":39,"tag":70,"props":187,"children":188},{},[189],{"type":45,"value":190},"Working with specific resource types (dashboards, jobs, pipelines, alerts, volumes, apps)",{"type":39,"tag":54,"props":192,"children":194},{"id":193},"general-guidelines",[195],{"type":45,"value":196},"General Guidelines",{"type":39,"tag":198,"props":199,"children":200},"ol",{},[201,220,230,248,258,268],{"type":39,"tag":70,"props":202,"children":203},{},[204,209,211,218],{"type":39,"tag":74,"props":205,"children":206},{},[207],{"type":45,"value":208},"Always validate after configuration changes",{"type":45,"value":210}," - Use ",{"type":39,"tag":212,"props":213,"children":215},"code",{"className":214},[],[216],{"type":45,"value":217},"bundle validate --strict --target \u003Ctarget>",{"type":45,"value":219}," after any change",{"type":39,"tag":70,"props":221,"children":222},{},[223,228],{"type":39,"tag":74,"props":224,"children":225},{},[226],{"type":45,"value":227},"Use reference documentation",{"type":45,"value":229}," - Consult the appropriate reference file for detailed patterns and examples",{"type":39,"tag":70,"props":231,"children":232},{},[233,238,240,246],{"type":39,"tag":74,"props":234,"children":235},{},[236],{"type":45,"value":237},"Follow naming conventions",{"type":45,"value":239}," - Resource files should use ",{"type":39,"tag":212,"props":241,"children":243},{"className":242},[],[244],{"type":45,"value":245},"\u003Cname>.\u003Cresource_type>.yml",{"type":45,"value":247}," format",{"type":39,"tag":70,"props":249,"children":250},{},[251,256],{"type":39,"tag":74,"props":252,"children":253},{},[254],{"type":45,"value":255},"Path resolution is critical",{"type":45,"value":257}," - Paths differ based on file location (see Bundle Structure reference)",{"type":39,"tag":70,"props":259,"children":260},{},[261,266],{"type":39,"tag":74,"props":262,"children":263},{},[264],{"type":45,"value":265},"Preserve existing structure",{"type":45,"value":267}," - Keep user comments and structure when editing YAML files",{"type":39,"tag":70,"props":269,"children":270},{},[271,276],{"type":39,"tag":74,"props":272,"children":273},{},[274],{"type":45,"value":275},"Use variables",{"type":45,"value":277}," - Parameterize catalog, schema, and warehouse for multi-environment support",{"type":39,"tag":54,"props":279,"children":281},{"id":280},"documentation",[282],{"type":45,"value":283},"Documentation",{"type":39,"tag":66,"props":285,"children":286},{},[287,298],{"type":39,"tag":70,"props":288,"children":289},{},[290],{"type":39,"tag":78,"props":291,"children":295},{"href":292,"rel":293},"https:\u002F\u002Fdocs.databricks.com\u002Fdev-tools\u002Fbundles\u002F",[294],"nofollow",[296],{"type":45,"value":297},"Declarative Automation Bundles",{"type":39,"tag":70,"props":299,"children":300},{},[301,308],{"type":39,"tag":78,"props":302,"children":305},{"href":303,"rel":304},"https:\u002F\u002Fgithub.com\u002Fdatabricks\u002Fbundle-examples",[294],[306],{"type":45,"value":307},"Bundle Examples Repository",{"type":45,"value":309}," - official end-to-end example bundles (jobs, pipelines, dashboards, apps, and more); use as working references for patterns not covered by the reference files above",{"items":311,"total":490},[312,329,343,360,377,397,408,431,443,450,465,478],{"slug":313,"name":313,"fn":314,"description":315,"org":316,"tags":317,"stars":23,"repoUrl":24,"updatedAt":328},"databricks-agent-bricks","create Databricks Agent Bricks","Create Agent Bricks: Knowledge Assistants (KA) for document Q&A and Supervisor Agents for multi-agent orchestration (MAS).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[318,321,322,325],{"name":319,"slug":320,"type":15},"Agents","agents",{"name":9,"slug":8,"type":15},{"name":323,"slug":324,"type":15},"Knowledge Management","knowledge-management",{"name":326,"slug":327,"type":15},"Multi-Agent","multi-agent","2026-07-15T05:41:38.548954",{"slug":330,"name":330,"fn":331,"description":332,"org":333,"tags":334,"stars":23,"repoUrl":24,"updatedAt":342},"databricks-ai-functions","use Databricks built-in AI functions","Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_prep_search, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → prep_search → index → query).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[335,338,339],{"name":336,"slug":337,"type":15},"Data Analysis","data-analysis",{"name":9,"slug":8,"type":15},{"name":340,"slug":341,"type":15},"LLM","llm","2026-07-31T05:53:33.562077",{"slug":344,"name":344,"fn":345,"description":346,"org":347,"tags":348,"stars":23,"repoUrl":24,"updatedAt":359},"databricks-ai-runtime","submit and manage Databricks GPU workloads","Databricks AI Runtime (`air`) CLI — the command-line tool for submitting and managing GPU training workloads on Databricks serverless compute. Use for: running `air` workloads, custom Docker image setup, environment configuration, and troubleshooting `air` jobs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[349,352,353,356],{"name":350,"slug":351,"type":15},"CLI","cli",{"name":9,"slug":8,"type":15},{"name":354,"slug":355,"type":15},"Docker","docker",{"name":357,"slug":358,"type":15},"Engineering","engineering","2026-07-12T08:04:55.843982",{"slug":361,"name":361,"fn":362,"description":363,"org":364,"tags":365,"stars":23,"repoUrl":24,"updatedAt":376},"databricks-aibi-dashboards","create Databricks AI\u002FBI dashboards","Create Databricks AI\u002FBI dashboards. Must use when creating, updating, or deploying Lakeview dashboards as Databricks Dashboard have a unique json structure. CRITICAL: You MUST test ALL SQL queries via CLI BEFORE deploying. Follow guidelines strictly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[366,369,372,375],{"name":367,"slug":368,"type":15},"Analytics","analytics",{"name":370,"slug":371,"type":15},"Dashboards","dashboards",{"name":373,"slug":374,"type":15},"Data Visualization","data-visualization",{"name":9,"slug":8,"type":15},"2026-07-12T08:04:25.314591",{"slug":378,"name":378,"fn":379,"description":380,"org":381,"tags":382,"stars":23,"repoUrl":24,"updatedAt":396},"databricks-app-design","design UX for Databricks AppKit applications","Design the UX of custom-code Databricks Apps (AppKit\u002FReact) data screens — KPI\u002Foverview pages, reports, charts, tables, and Genie\u002Fchat data assistants — mapped to concrete AppKit components. Use when BUILDING or reviewing the UI of an AppKit\u002FReact app that displays data or answers data questions: choosing genre, layout, charts, KPIs, semantic color, required states (loading\u002Fempty\u002Ferror), IBCS notation, and AI-result trust (showing generated SQL\u002Fsources for Genie\u002Fchat). A plain \"create a dashboard\" request means a managed AI\u002FBI (Lakeview) dashboard → use databricks-aibi-dashboards, NOT this skill. Also NOT for non-data frontend (forms, settings, auth, marketing) or scaffolding\u002Fbuild\u002Fdeploy (→ databricks-apps). Complements databricks-apps; use it alongside whenever a custom app has a chart, table, KPI, report, or Genie\u002Fchat\u002FAI surface.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[383,384,387,390,393],{"name":9,"slug":8,"type":15},{"name":385,"slug":386,"type":15},"Design","design",{"name":388,"slug":389,"type":15},"Frontend","frontend",{"name":391,"slug":392,"type":15},"React","react",{"name":394,"slug":395,"type":15},"UI Components","ui-components","2026-07-12T08:04:02.02398",{"slug":398,"name":398,"fn":399,"description":400,"org":401,"tags":402,"stars":23,"repoUrl":24,"updatedAt":407},"databricks-apps","build applications on Databricks Apps","Build apps on Databricks Apps platform. Use when asked to create data apps, analytics tools, or custom interactive visualizations. A plain \"create a dashboard\" request means a managed AI\u002FBI (Lakeview) dashboard → use databricks-aibi-dashboards, not this skill. Evaluates data access patterns (analytics vs Lakebase synced tables) before scaffolding. Invoke BEFORE starting implementation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[403,404,405,406],{"name":367,"slug":368,"type":15},{"name":370,"slug":371,"type":15},{"name":336,"slug":337,"type":15},{"name":9,"slug":8,"type":15},"2026-07-12T08:03:59.061458",{"slug":409,"name":409,"fn":410,"description":411,"org":412,"tags":413,"stars":23,"repoUrl":24,"updatedAt":430},"databricks-apps-python","build Python backends for Databricks Apps","Python backend for Databricks Apps — FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex. **Default for a new Databricks App is `databricks-apps` (AppKit — Node\u002FTypeScript\u002FReact) — reach for it first.** Use this skill only when the user asks for a Python backend, extends an existing Python app, or the team is Python-only. Covers OAuth auth, app resources, SQL warehouse and Lakebase connectivity, foundation-model \u002F Vector Search \u002F model-serving APIs (via `databricks-python-sdk`), and deployment via CLI or DABs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[414,415,418,421,424,427],{"name":9,"slug":8,"type":15},{"name":416,"slug":417,"type":15},"FastAPI","fastapi",{"name":419,"slug":420,"type":15},"Flask","flask",{"name":422,"slug":423,"type":15},"Gradio","gradio",{"name":425,"slug":426,"type":15},"Python","python",{"name":428,"slug":429,"type":15},"Streamlit","streamlit","2026-07-12T08:04:10.970845",{"slug":432,"name":432,"fn":433,"description":434,"org":435,"tags":436,"stars":23,"repoUrl":24,"updatedAt":442},"databricks-core","configure Databricks CLI and authentication","Databricks CLI operations and the parent\u002Fentry-point skill for Databricks CLI use: authentication, profile selection, and bundles. Load this first for CLI, auth, profile, and bundle tasks, then load the matching product skill. For finding or exploring data, answering questions about the data, or generating SQL, load the databricks-data-discovery skill (it routes to Genie One). Contains up-to-date guidelines for Databricks-related CLI tasks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[437,440,441],{"name":438,"slug":439,"type":15},"Authentication","authentication",{"name":350,"slug":351,"type":15},{"name":9,"slug":8,"type":15},"2026-07-18T05:11:05.45506",{"slug":4,"name":4,"fn":5,"description":6,"org":444,"tags":445,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[446,447,448,449],{"name":17,"slug":18,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"slug":451,"name":451,"fn":452,"description":453,"org":454,"tags":455,"stars":23,"repoUrl":24,"updatedAt":464},"databricks-data-discovery","discover and query Databricks data","Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP. MUST be invoked whenever the user asks to find or locate data ('what tables are in X', 'where does X live', 'which catalog\u002Fschema has Y'), answer a natural-language question about the data, or write a SQL query.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[456,457,460,461],{"name":336,"slug":337,"type":15},{"name":458,"slug":459,"type":15},"Data Engineering","data-engineering",{"name":9,"slug":8,"type":15},{"name":462,"slug":463,"type":15},"SQL","sql","2026-07-31T05:53:32.561877",{"slug":466,"name":466,"fn":467,"description":468,"org":469,"tags":470,"stars":23,"repoUrl":24,"updatedAt":477},"databricks-dbsql","query and script Databricks SQL warehouses","Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities. This skill MUST be invoked when the user mentions: \"DBSQL\", \"Databricks SQL\", \"SQL warehouse\", \"SQL scripting\", \"stored procedure\", \"CALL procedure\", \"materialized view\", \"CREATE MATERIALIZED VIEW\", \"pipe syntax\", \"|>\", \"geospatial\", \"H3\", \"ST_\", \"spatial SQL\", \"collation\", \"COLLATE\", \"ai_query\", \"ai_classify\", \"ai_extract\", \"ai_gen\", \"AI function\", \"http_request\", \"remote_query\", \"read_files\", \"Lakehouse Federation\", \"recursive CTE\", \"WITH RECURSIVE\", \"multi-statement transaction\", \"temp table\", \"temporary view\", \"pipe operator\". SHOULD also invoke when the user asks about SQL best practices, data modeling patterns, or advanced SQL features on Databricks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[471,472,475,476],{"name":336,"slug":337,"type":15},{"name":473,"slug":474,"type":15},"Database","database",{"name":9,"slug":8,"type":15},{"name":462,"slug":463,"type":15},"2026-07-12T08:04:08.678282",{"slug":479,"name":479,"fn":480,"description":481,"org":482,"tags":483,"stars":23,"repoUrl":24,"updatedAt":489},"databricks-docs","search Databricks documentation","Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamiliar Databricks features, or needing authoritative docs on APIs, configurations, or platform capabilities.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[484,485,486],{"name":9,"slug":8,"type":15},{"name":283,"slug":280,"type":15},{"name":487,"slug":488,"type":15},"Reference","reference","2026-07-15T05:41:34.697746",31,{"items":492,"total":490},[493,500,506,513,520,528,535],{"slug":313,"name":313,"fn":314,"description":315,"org":494,"tags":495,"stars":23,"repoUrl":24,"updatedAt":328},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[496,497,498,499],{"name":319,"slug":320,"type":15},{"name":9,"slug":8,"type":15},{"name":323,"slug":324,"type":15},{"name":326,"slug":327,"type":15},{"slug":330,"name":330,"fn":331,"description":332,"org":501,"tags":502,"stars":23,"repoUrl":24,"updatedAt":342},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[503,504,505],{"name":336,"slug":337,"type":15},{"name":9,"slug":8,"type":15},{"name":340,"slug":341,"type":15},{"slug":344,"name":344,"fn":345,"description":346,"org":507,"tags":508,"stars":23,"repoUrl":24,"updatedAt":359},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[509,510,511,512],{"name":350,"slug":351,"type":15},{"name":9,"slug":8,"type":15},{"name":354,"slug":355,"type":15},{"name":357,"slug":358,"type":15},{"slug":361,"name":361,"fn":362,"description":363,"org":514,"tags":515,"stars":23,"repoUrl":24,"updatedAt":376},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[516,517,518,519],{"name":367,"slug":368,"type":15},{"name":370,"slug":371,"type":15},{"name":373,"slug":374,"type":15},{"name":9,"slug":8,"type":15},{"slug":378,"name":378,"fn":379,"description":380,"org":521,"tags":522,"stars":23,"repoUrl":24,"updatedAt":396},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[523,524,525,526,527],{"name":9,"slug":8,"type":15},{"name":385,"slug":386,"type":15},{"name":388,"slug":389,"type":15},{"name":391,"slug":392,"type":15},{"name":394,"slug":395,"type":15},{"slug":398,"name":398,"fn":399,"description":400,"org":529,"tags":530,"stars":23,"repoUrl":24,"updatedAt":407},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[531,532,533,534],{"name":367,"slug":368,"type":15},{"name":370,"slug":371,"type":15},{"name":336,"slug":337,"type":15},{"name":9,"slug":8,"type":15},{"slug":409,"name":409,"fn":410,"description":411,"org":536,"tags":537,"stars":23,"repoUrl":24,"updatedAt":430},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[538,539,540,541,542,543],{"name":9,"slug":8,"type":15},{"name":416,"slug":417,"type":15},{"name":419,"slug":420,"type":15},{"name":422,"slug":423,"type":15},{"name":425,"slug":426,"type":15},{"name":428,"slug":429,"type":15}]