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Use when building data warehouses on SAP BTP, creating analytic models, configuring data flows and replication flows, setting up connections to SAP and third-party systems, managing spaces and users, implementing data access controls, using the datasphere CLI, creating data products for the marketplace, or monitoring data integration tasks. Covers Data Builder (graphical\u002FSQL views, local\u002Fremote tables, transformation flows), Business Builder (business entities, consumption models), analytic models (dimensions, measures, hierarchies), 40+ connection types (SAP S\u002F4HANA, BW\u002F4HANA, HANA Cloud, AWS, Azure, GCP, Kafka, Generic HTTP), real-time replication, task chains, content transport, CLI automation, catalog governance, and data marketplace. Includes 2025 features: Generic HTTP connections, REST API tasks in task chains, SAP Business Data Cloud integration. Keywords: sap datasphere, data warehouse cloud, dwc, data builder, business builder, analytic model, graphical view, sql view, transformation flow, replication flow, data flow, task chain, remote table, local table, sap btp data warehouse, datasphere connection, datasphere space, data access control, elastic compute node, sap analytics cloud integration, datasphere cli, data products, data marketplace, catalog, governance","VRIL-LABS\u002Fskill-jam","VRIL-LABS","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F272046472?v=4","01M6QR9PNWM28WZYJJASER1RG2","𝗩𝗥𝗜𝗟 𝗟𝗔𝗕𝗦","01M6QR9PT6Q6JDCQ97EQBDX6E4",2,"GPL-3.0","https:\u002F\u002Fgithub.com\u002FVRIL-LABS\u002Fskill-jam\u002Fblob\u002Fmain\u002Fskills\u002Fai-ml\u002Fsap-skills-main\u002Fsap-skills-main\u002Fplugins\u002Fsap-datasphere\u002Fskills\u002Fsap-datasphere\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"sap datasphere","sap","local","for","implementing","tables","btp","remote","replication","transformation","Access Control","analytics","time","dimensions","catalog","view","specialized","table","gcp","monitoring","2026-11-10 10:12:30",false,"---\nname: sap-datasphere\ndescription: |\n  Comprehensive plugin for SAP Datasphere development with 3 specialized agents, 5 slash commands, and validation hooks. Use when building data warehouses on SAP BTP, creating analytic models, configuring data flows and replication flows, setting up connections to SAP and third-party systems, managing spaces and users, implementing data access controls, using the datasphere CLI, creating data products for the marketplace, or monitoring data integration tasks. Covers Data Builder (graphical\u002FSQL views, local\u002Fremote tables, transformation flows), Business Builder (business entities, consumption models), analytic models (dimensions, measures, hierarchies), 40+ connection types (SAP S\u002F4HANA, BW\u002F4HANA, HANA Cloud, AWS, Azure, GCP, Kafka, Generic HTTP), real-time replication, task chains, content transport, CLI automation, catalog governance, and data marketplace. Includes 2025 features: Generic HTTP connections, REST API tasks in task chains, SAP Business Data Cloud integration. Keywords: sap datasphere, data warehouse cloud, dwc, data builder, business builder, analytic model, graphical view, sql view, transformation flow, replication flow, data flow, task chain, remote table, local table, sap btp data warehouse, datasphere connection, datasphere space, data access control, elastic compute node, sap analytics cloud integration, datasphere cli, data products, data marketplace, catalog, governance\nlicense: GPL-3.0\nmetadata:\n  version: 2.1.0\n  last_verified: 2025-12-28\n---\n\n# SAP Datasphere Skill\n\n## Table of Contents\n\n- [Overview](#overview)\n- [Quick Reference](#quick-reference)\n  - [Core Components](#core-components)\n  - [Object Types](#object-types)\n- [Data Builder](#data-builder)\n  - [Graphical Views](#graphical-views)\n  - [SQL Views](#sql-views)\n  - [Tables](#tables)\n  - [Flows](#flows)\n  - [Task Chains](#task-chains)\n- [Business Builder](#business-builder)\n- [Analytic Models](#analytic-models)\n- [Connections](#connections)\n- [Space Management](#space-management)\n- [Data Access Control](#data-access-control)\n- [Monitoring](#monitoring)\n- [CLI Reference](#cli-reference)\n- [Data Products & Marketplace](#data-products--marketplace)\n- [Catalog & Governance](#catalog--governance)\n- [Content Transport](#content-transport)\n- [Common Issues](#common-issues)\n- [Bundled Resources](#bundled-resources)\n- [Documentation Links](#documentation-links)\n\n## Overview\n\nSAP Datasphere is SAP's cloud-native data warehouse solution on SAP Business Technology Platform (BTP). This skill provides comprehensive guidance for data acquisition, preparation, modeling, administration, and integration.\n\n**Use this skill when**:\n- Creating data warehouses on SAP BTP\n- Building analytic models for SAP Analytics Cloud\n- Setting up data flows, replication flows, or transformation flows\n- Configuring connections to SAP or third-party systems\n- Managing spaces, users, and access controls\n- Implementing real-time data replication\n- Monitoring data integration tasks\n\n---\n\n## Quick Reference\n\n### Core Components\n\n| Component | Purpose | Key Objects |\n|-----------|---------|-------------|\n| **Data Builder** | Data acquisition & preparation | Views, Tables, Flows, Task Chains |\n| **Business Builder** | Semantic layer modeling | Business Entities, Fact Models, Consumption Models |\n| **Analytic Model** | Analytics-ready structures | Dimensions, Facts, Measures, Hierarchies |\n| **Connections** | External data sources | 40+ connection types |\n| **Spaces** | Logical data containers | Storage, Users, Objects |\n\n### Object Types\n\n**Views**:\n- Graphical View: Visual data modeling with drag-and-drop\n- SQL View: SQL-based view definitions\n- Analytic Model: Analytics-optimized semantic layer\n\n**Tables**:\n- Local Table: Data stored in Datasphere\n- Remote Table: Virtual access to external data\n- Local Table (File): Object store-based storage\n\n**Flows**:\n- Data Flow: ETL transformations\n- Replication Flow: Data replication from sources\n- Transformation Flow: Delta-aware transformations\n\n---\n\n## Data Builder\n\n### Graphical Views\n\nCreate views visually by dragging sources and adding transformations.\n\n**Supported Operations**:\n- Join: Inner, Left Outer, Right Outer, Full Outer, Cross\n- Union: Combine multiple sources\n- Projection: Select\u002Frename columns\n- Filter: Row-level filtering\n- Aggregation: Group by with aggregates\n- Calculated Columns: Derived values\n\n**Best Practices**:\n- Use input parameters for dynamic filtering\n- Apply data access controls for row-level security\n- Enable persistence for frequently accessed views\n- Use lineage analysis to understand dependencies\n\nFor detailed graphical view operations, see `references\u002Fgraphical-sql-views.md`.\n\n### SQL Views\n\nCreate views using SQL or SQLScript.\n\n```sql\n-- Basic SQL View\nSELECT\n    customer_id,\n    customer_name,\n    SUM(order_amount) AS total_orders\nFROM orders\nGROUP BY customer_id, customer_name\n```\n\n**SQLScript Support**:\n- Table variables\n- Scalar variables\n- Control flow (IF, WHILE, FOR)\n- Exception handling\n\nFor SQL\u002FSQLScript reference, see `references\u002Fgraphical-sql-views.md`.\n\n### Data Flows\n\nETL pipelines for data transformation and loading.\n\n**Operators**:\n- Source: Remote\u002Flocal tables, views\n- Target: Local tables\n- Join, Union, Projection, Filter, Aggregation\n- Script: Python custom logic\n- Calculated Columns\n\n**Execution**:\n- Manual run or scheduled via task chains\n- Delta capture for incremental loads\n- Input parameters for runtime configuration\n\nFor data flow details, see `references\u002Fdata-acquisition-preparation.md`.\n\n### Replication Flows\n\nReplicate data from source systems to Datasphere or external targets.\n\n**Supported Sources**:\n- SAP S\u002F4HANA (Cloud\u002FOn-Premise)\n- SAP BW\u002F4HANA\n- SAP ECC\n- ABAP-based systems\n- Cloud storage (S3, Azure Blob, GCS)\n- Kafka\u002FConfluent\n- SFTP\n\n**Supported Targets**:\n- SAP Datasphere (local tables)\n- Apache Kafka\n- Google BigQuery\n- Cloud storage providers\n- SAP Signavio\n\n**Load Types**:\n- Initial Load: Full data extraction\n- Delta Load: Changed data only\n- Real-Time: Continuous replication\n\nFor replication flow configuration, see `references\u002Fdata-acquisition-preparation.md`.\n\n### Transformation Flows\n\nDelta-aware transformations with automatic change propagation.\n\n**Key Features**:\n- Automatic delta detection\n- Target table management\n- Graphical or SQL view as source\n- Run modes: Start, Delete, Truncate\n\nFor transformation flow details, see `references\u002Fdata-acquisition-preparation.md`.\n\n### Task Chains\n\nOrchestrate multiple tasks in sequence or parallel.\n\n**Supported Tasks**:\n- Data flows\n- Replication flows\n- Transformation flows\n- Remote table replication\n- View persistence\n- Open SQL procedures\n- API tasks\n- BW Bridge process chains\n\n**Features**:\n- Parallel execution branches\n- Input parameters\n- Email notifications\n- Nested task chains\n- Scheduling (simple or cron)\n\n---\n\n## Data Modeling\n\n### Analytic Models\n\nCreate analytics-ready semantic models for SAP Analytics Cloud.\n\n**Components**:\n- **Fact**: Contains measures (quantitative data)\n- **Dimension**: Categorizes data (master data)\n- **Measure**: Quantifiable metrics\n- **Hierarchy**: Navigation structures\n- **Variable**: Runtime parameters\n\n**Creating an Analytic Model**:\n1. Add a fact source (view or table)\n2. Add dimension associations\n3. Define measures with aggregation\n4. Configure variables for filtering\n5. Set data access controls\n\nFor detailed modeling guidance, see `references\u002Fdata-modeling.md`.\n\n### Dimensions\n\nCategorize and filter analytical data.\n\n**Types**:\n- Standard: Basic categorical data\n- Time: Calendar-based filtering\n- Fiscal Time: Custom fiscal calendars\n- Text Entity: Multilingual labels\n\n**Features**:\n- Hierarchies (level-based, parent-child)\n- Time dependency (SCD Type 2)\n- Compound keys\n- Associated text entities\n\n### Measures\n\nQuantifiable values for analysis.\n\n**Types**:\n- Simple: Direct aggregation\n- Calculated: Derived from other measures\n- Restricted: Filtered aggregation\n- Currency Conversion: Dynamic conversion\n- Unit Conversion: Dynamic conversion\n- Count Distinct: Unique value count\n- Non-Cumulative: Point-in-time values\n\n**Aggregation Types**:\n- SUM, MIN, MAX, COUNT, AVG\n- Exception aggregation for non-additive scenarios\n\nFor measure configuration, see `references\u002Fdata-modeling.md`.\n\n### Business Builder\n\nCreate business-oriented semantic models.\n\n**Objects**:\n- **Business Entity**: Reusable dimension\u002Ffact definitions\n- **Fact Model**: Combines business entities\n- **Consumption Model**: Analytics-ready model\n- **Authorization Scenario**: Row-level security\n\nFor Business Builder details, see `references\u002Fdata-modeling.md`.\n\n---\n\n## Connectivity\n\n### Connection Types\n\nSAP Datasphere supports 40+ connection types.\n\n**SAP Systems**:\n- SAP S\u002F4HANA Cloud\u002FOn-Premise\n- SAP BW\u002F4HANA (Model Transfer)\n- SAP BW Bridge\n- SAP ECC\n- SAP HANA (Cloud\u002FOn-Premise)\n- SAP SuccessFactors\n- SAP Fieldglass\n- SAP Marketing Cloud\n- SAP Signavio\n\n**Cloud Platforms**:\n- Amazon S3, Athena, Redshift\n- Google Cloud Storage, BigQuery\n- Microsoft Azure Blob, Data Lake, SQL Database\n- Microsoft OneLake\n\n**Databases**:\n- Oracle\n- Microsoft SQL Server\n- Generic JDBC\n\n**Streaming**:\n- Apache Kafka\n- Confluent\n\n**Other**:\n- Generic OData, HTTP, SFTP\n- Adverity, Precog\n- SAP Open Connectors\n\nFor connection configuration, see `references\u002Fconnectivity.md`.\n\n### Connection Features\n\n| Feature | Description |\n|---------|-------------|\n| Remote Tables | Virtual data access |\n| Data Flows | ETL transformation |\n| Replication Flows | Data replication |\n| Model Import | BW\u002F4HANA model transfer |\n\n---\n\n## Administration\n\n### Spaces\n\nLogical containers for data and objects.\n\n**Configuration**:\n- Storage allocation (disk + in-memory)\n- User access and roles\n- Priority and statement limits\n- Workload management\n\n**Operations**:\n- Create, copy, delete spaces\n- Export\u002Fimport space data\n- Command-line management (datasphere CLI)\n\nFor space management, see `references\u002Fadministration.md`.\n\n### Users and Roles\n\n**Standard Roles**:\n- DW Administrator\n- DW Space Administrator\n- DW Integrator\n- DW Modeler\n- DW Viewer\n\n**Scoped Roles**:\n- Space-specific permissions\n- Custom privilege combinations\n\n**Authentication**:\n- SAP Cloud Identity Services\n- Custom SAML IdP\n- OAuth 2.0 clients\n\nFor user management, see `references\u002Fadministration.md`.\n\n### Monitoring\n\n**Capabilities**:\n- Capacity monitoring (storage, memory, compute)\n- Audit logs (database operations)\n- Activity logs (object changes)\n- Task logs (flow executions)\n\n**Database Analysis**:\n- Create analysis users for debugging\n- Monitor HANA views\n- Stop running statements\n\nFor monitoring details, see `references\u002Fadministration.md`.\n\n---\n\n## Data Integration Monitor\n\n### Remote Tables\n\n**Operations**:\n- Replicate data (full\u002Fdelta\u002Freal-time)\n- Partition data loads\n- Create statistics\n- Monitor queries\n\n### Real-Time Replication\n\n**Features**:\n- Continuous change capture\n- Pause\u002Fresume capability\n- Automatic recovery\n- Watermark tracking\n\n### View Persistence\n\n**Options**:\n- Scheduled refresh\n- On-demand refresh\n- Partition management\n- Memory optimization\n\nFor monitoring details, see `references\u002Fdata-integration-monitor.md`.\n\n---\n\n## CLI Reference\n\n### Datasphere CLI Overview\n\nThe `datasphere` CLI enables command-line administration and automation.\n\n**Installation**:\n```bash\nnpm install -g @sap\u002Fdatasphere-cli\n```\n\n**Authentication**:\n```bash\n# Interactive login\ndatasphere config auth login\n\n# Service key (CI\u002FCD)\ndatasphere config auth login --service-key-path .\u002Fkey.json\n```\n\n**Core Commands**:\n\n| Command | Purpose |\n|---------|---------|\n| `datasphere spaces list` | List all spaces |\n| `datasphere spaces create` | Create a space |\n| `datasphere objects export` | Export objects |\n| `datasphere objects import` | Import objects |\n| `datasphere tasks run` | Execute task chains |\n| `datasphere marketplace list` | List marketplace products |\n\n**CI\u002FCD Integration**:\n```bash\n# Export and import workflow\ndatasphere objects export --space DEV --output-file package.zip\ndatasphere objects import --space PROD --input-file package.zip --overwrite\n```\n\nFor complete CLI reference, see `references\u002Fcli-commands.md`.\n\n---\n\n## Data Products & Marketplace\n\n### Creating Data Products\n\nPackage curated data for internal or external consumption:\n\n1. **Plan**: Define purpose, target consumers, contents\n2. **Prepare**: Create views\u002Fmodels, set semantic usage, document\n3. **Configure**: Set visibility, access controls, terms\n4. **Publish**: Make available in marketplace\n\n**Product Components**:\n- Core assets (views, models, entities)\n- Documentation and sample queries\n- Governance metadata (owner, quality score, SLA)\n\n### Data Marketplace\n\nDiscover and consume published data products:\n\n- **Search**: Find by category, provider, quality\n- **Request Access**: Submit justification, await approval\n- **Consume**: Use in views or SAC stories\n\nFor complete marketplace guidance, see `references\u002Fdata-products-marketplace.md`.\n\n---\n\n## Catalog & Governance\n\n### Data Catalog Features\n\nCentralized discovery and governance:\n\n- **Asset Discovery**: Search all data objects with metadata\n- **Glossary**: Standardized business term definitions\n- **Data Quality**: Automated quality rules and scoring\n- **Lineage**: Trace data from source to consumption\n- **Classification**: Sensitivity levels and compliance tags\n\n### Governance Workflow\n\n```\nCreate Object → Add Metadata → Link Terms → Quality Check → Approve → Publish\n```\n\n**Roles**:\n- **Data Owner**: Business accountability\n- **Data Steward**: Quality and metadata management\n- **Data Custodian**: Technical implementation\n\nFor detailed governance guidance, see `references\u002Fcatalog-governance.md`.\n\n---\n\n## Data Access Controls\n\nImplement row-level security.\n\n**Types**:\n- Single Values: Simple value matching\n- Operator and Values: Complex conditions\n- Hierarchy: Node-based filtering\n- Hierarchy with Directory: Hierarchical permissions\n\n**Application**:\n- Apply to views or analytic models\n- Based on user attributes\n- Import from SAP BW Analysis Authorizations\n\nFor security configuration, see `references\u002Fdata-access-security.md`.\n\n---\n\n## Content Transport\n\nMove content between tenants.\n\n**Methods**:\n- Export\u002FImport packages\n- SAP Cloud Transport Management\n- CSN\u002FJSON file export\n\n**Package Contents**:\n- Views, tables, flows\n- Connections (metadata only)\n- Spaces configuration\n\nFor transport procedures, see `references\u002Fcontent-transport.md`.\n\n---\n\n---\n\n## Common Errors and Solutions\n\n| Error | Cause | Solution |\n|-------|-------|----------|\n| Deployment failed | Circular dependency | Check object dependencies |\n| Connection timeout | Network\u002Ffirewall | Verify Cloud Connector\u002FIP allowlist |\n| Replication stuck | Source lock | Check source system status |\n| Out of memory | Large view | Enable persistence or partitioning |\n| Permission denied | Missing role | Verify space membership and privileges |\n\n---\n\n## Bundled Resources\n\n### Reference Documentation\n\n**Core Data Builder:**\n1. **`references\u002Fdata-acquisition-preparation.md`** - Data flows, replication flows, transformation flows, and table management\n2. **`references\u002Fgraphical-sql-views.md`** - Graphical views, SQL views, E-R models, and intelligent lookups\n3. **`references\u002Fdata-modeling.md`** - Business Builder entities, analytic models, dimensions, measures, and hierarchies\n\n**Connectivity & Integration:**\n4. **`references\u002Fconnectivity.md`** - All 40+ connection types including SAP systems, cloud providers, and streaming platforms\n5. **`references\u002Fdata-integration-monitor.md`** - Task scheduling, monitoring, real-time replication, and delta mechanisms\n\n**Administration & Security:**\n6. **`references\u002Fadministration.md`** - Tenant management, space configuration, user roles, and elastic compute nodes\n7. **`references\u002Fdata-access-security.md`** - Row-level security, DAC configurations, and authorization scenarios\n8. **`references\u002Fcontent-transport.md`** - Package export\u002Fimport, transport management, and tenant migration\n\n**CLI & Automation:**\n9. **`references\u002Fcli-commands.md`** - Complete CLI reference, authentication, CI\u002FCD integration patterns\n\n**Marketplace & Governance:**\n10. **`references\u002Fdata-products-marketplace.md`** - Creating and consuming data products, provider workflows, pricing\n11. **`references\u002Fcatalog-governance.md`** - Data catalog, glossary, quality rules, lineage, classification\n\n**Best Practices & Updates:**\n12. **`references\u002Fbest-practices-patterns.md`** - Architecture patterns, naming conventions, performance optimization, checklists\n13. **`references\u002Fwhats-new-2025.md`** - Q1-Q4 2025 features, Generic HTTP, REST API tasks, deprecations\n\n**MCP Integration:**\n14. **`references\u002Fmcp-tools-reference.md`** - Complete MCP tool reference, 45 tools across 8 categories, API documentation, authentication patterns\n15. **`references\u002Fmcp-use-cases.md`** - 8 real-world use cases with personas, time savings, and ROI analysis ($159K+\u002Fyear savings)\n\n### Plugin Components\n\nThis plugin includes 3 specialized agents, 5 slash commands, and validation hooks:\n\n**Agents** (in `agents\u002F`):\n- `datasphere-modeler` - Data Builder tasks, views, flows, analytic models\n- `datasphere-integration-advisor` - Connectivity, replication, data integration\n- `datasphere-admin-helper` - Space management, security, monitoring\n\n**Commands** (in `commands\u002F`):\n- `\u002Fdatasphere-space-template` - Generate space configurations\n- `\u002Fdatasphere-view-template` - Generate view templates (graphical\u002FSQL)\n- `\u002Fdatasphere-connection-guide` - Step-by-step connection setup\n- `\u002Fdatasphere-cli` - CLI command reference and examples\n\n**Hooks** (in `hooks\u002F`):\n- PreToolUse validation for SQL\u002FSQLScript code quality\n- PostToolUse suggestions for persistence and optimization\n\n## MCP Integration\n\nThis skill integrates with the **SAP Datasphere MCP Server** (@mariodefe\u002Fsap-datasphere-mcp) providing 45 tools for live tenant interaction.\n\n### MCP Tools\n\nThe MCP server enables:\n- **Direct Queries:** Execute SQL and smart queries on live data\n- **Metadata Access:** Inspect tables, views, and analytic models\n- **User Management:** Create, update, delete database users\n- **Catalog Search:** Find assets by name or column\n- **Connection Testing:** Verify connectivity and tenant info\n- **Data Profiling:** Analyze column distributions\n\nSee `\u002Fdatasphere-mcp-tools` command for complete tool list.\n\n### Authentication\n\nOAuth 2.0 Client Credentials with automatic token refresh.\n\nRequired environment variables:\n- `DATASPHERE_BASE_URL`\n- `DATASPHERE_CLIENT_ID`\n- `DATASPHERE_CLIENT_SECRET`\n- `DATASPHERE_TOKEN_URL`\n\n### Performance\n\n- Sub-100ms metadata queries (cached)\n- 100-500ms catalog operations\n- 500-2,000ms OData queries\n- Batch processing up to 50,000 records\n\n### File Structure\n```\nplugins\u002Fsap-datasphere\u002F\n├── .claude-plugin\u002F\n│   └── plugin.json\n├── .mcp.json                         # MCP server configuration\n├── agents\u002F\n│   ├── datasphere-modeler.md\n│   ├── datasphere-integration-advisor.md\n│   └── datasphere-admin-helper.md\n├── commands\u002F\n│   ├── datasphere-space-template.md\n│   ├── datasphere-view-template.md\n│   ├── datasphere-connection-guide.md\n│   ├── datasphere-cli.md\n│   └── datasphere-mcp-tools.md       # MCP tools reference\n├── hooks\u002F\n│   └── hooks.json\n└── skills\u002F\n    └── sap-datasphere\u002F\n        ├── .claude-plugin\u002F\n        │   └── plugin.json\n        ├── SKILL.md\n        ├── README.md\n        └── references\u002F\n            ├── data-acquisition-preparation.md\n            ├── data-modeling.md\n            ├── graphical-sql-views.md\n            ├── connectivity.md\n            ├── administration.md\n            ├── data-integration-monitor.md\n            ├── data-access-security.md\n            ├── content-transport.md\n            ├── cli-commands.md\n            ├── data-products-marketplace.md\n            ├── catalog-governance.md\n            ├── best-practices-patterns.md\n            ├── whats-new-2025.md\n            └── mcp-tools-reference.md    # MCP technical reference\n```\n\n## Documentation Links\n\n- **SAP Help Portal**: [https:\u002F\u002Fhelp.sap.com\u002Fdocs\u002FSAP_DATASPHERE](https:\u002F\u002Fhelp.sap.com\u002Fdocs\u002FSAP_DATASPHERE)\n- **Source Repository**: [https:\u002F\u002Fgithub.com\u002FSAP-docs\u002Fsap-datasphere](https:\u002F\u002Fgithub.com\u002FSAP-docs\u002Fsap-datasphere)\n- **SAP Community**: [https:\u002F\u002Fcommunity.sap.com\u002Ftopics\u002Fdatasphere](https:\u002F\u002Fcommunity.sap.com\u002Ftopics\u002Fdatasphere)\n- **API Reference**: [https:\u002F\u002Fapi.sap.com\u002Fpackage\u002Fsaaborddatasphere](https:\u002F\u002Fapi.sap.com\u002Fpackage\u002Fsaaborddatasphere)\n\n---\n\n**Version**: 2.1.0 | **Last Verified**: 2025-12-28\n","# SAP Datasphere Skill\n\n## Table of Contents\n\n- [Overview](#overview)\n- [Quick Reference](#quick-reference)\n  - [Core Components](#core-components)\n  - [Object Types](#object-types)\n- [Data Builder](#data-builder)\n  - [Graphical Views](#graphical-views)\n  - [SQL Views](#sql-views)\n  - [Tables](#tables)\n  - [Flows](#flows)\n  - [Task Chains](#task-chains)\n- [Business Builder](#business-builder)\n- [Analytic Models](#analytic-models)\n- [Connections](#connections)\n- [Space Management](#space-management)\n- [Data Access Control](#data-access-control)\n- [Monitoring](#monitoring)\n- [CLI Reference](#cli-reference)\n- [Data Products & Marketplace](#data-products--marketplace)\n- [Catalog & Governance](#catalog--governance)\n- [Content Transport](#content-transport)\n- [Common Issues](#common-issues)\n- [Bundled Resources](#bundled-resources)\n- [Documentation Links](#documentation-links)\n\n## Overview\n\nSAP Datasphere is SAP's cloud-native data warehouse solution on SAP Business Technology Platform (BTP). This skill provides comprehensive guidance for data acquisition, preparation, modeling, administration, and integration.\n\n**Use this skill when**:\n- Creating data warehouses on SAP BTP\n- Building analytic models for SAP Analytics Cloud\n- Setting up data flows, replication flows, or transformation flows\n- Configuring connections to SAP or third-party systems\n- Managing spaces, users, and access controls\n- Implementing real-time data replication\n- Monitoring data integration tasks\n\n---\n\n## Quick Reference\n\n### Core Components\n\n| Component | Purpose | Key Objects |\n|-----------|---------|-------------|\n| **Data Builder** | Data acquisition & preparation | Views, Tables, Flows, Task Chains |\n| **Business Builder** | Semantic layer modeling | Business Entities, Fact Models, Consumption Models |\n| **Analytic Model** | Analytics-ready structures | Dimensions, Facts, Measures, Hierarchies |\n| **Connections** | External data sources | 40+ connection types |\n| **Spaces** | Logical data containers | Storage, Users, Objects |\n\n### Object Types\n\n**Views**:\n- Graphical View: Visual data modeling with drag-and-drop\n- SQL View: SQL-based view definitions\n- Analytic Model: Analytics-optimized semantic layer\n\n**Tables**:\n- Local Table: Data stored in Datasphere\n- Remote Table: Virtual access to external data\n- Local Table (File): Object store-based storage\n\n**Flows**:\n- Data Flow: ETL transformations\n- Replication Flow: Data replication from sources\n- Transformation Flow: Delta-aware transformations\n\n---\n\n## Data Builder\n\n### Graphical Views\n\nCreate views visually by dragging sources and adding transformations.\n\n**Supported Operations**:\n- Join: Inner, Left Outer, Right Outer, Full Outer, Cross\n- Union: Combine multiple sources\n- Projection: Select\u002Frename columns\n- Filter: Row-level filtering\n- Aggregation: Group by with aggregates\n- Calculated Columns: Derived values\n\n**Best Practices**:\n- Use input parameters for dynamic filtering\n- Apply data access controls for row-level security\n- Enable persistence for frequently accessed views\n- Use lineage analysis to understand dependencies\n\nFor detailed graphical view operations, see `references\u002Fgraphical-sql-views.md`.\n\n### SQL Views\n\nCreate views using SQL or SQLScript.\n\n```sql\n-- Basic SQL View\nSELECT\n    customer_id,\n    customer_name,\n    SUM(order_amount) AS total_orders\nFROM orders\nGROUP BY customer_id, customer_name\n```\n\n**SQLScript Support**:\n- Table variables\n- Scalar variables\n- Control flow (IF, WHILE, FOR)\n- Exception handling\n\nFor SQL\u002FSQLScript reference, see `references\u002Fgraphical-sql-views.md`.\n\n### Data Flows\n\nETL pipelines for data transformation and loading.\n\n**Operators**:\n- Source: Remote\u002Flocal tables, views\n- Target: Local tables\n- Join, Union, Projection, Filter, Aggregation\n- Script: Python custom logic\n- Calculated Columns\n\n**Execution**:\n- Manual run or scheduled via task chains\n- Delta capture for incremental loads\n- Input parameters for runtime configuration\n\nFor data flow details, see `references\u002Fdata-acquisition-preparation.md`.\n\n### Replication Flows\n\nReplicate data from source systems to Datasphere or external targets.\n\n**Supported Sources**:\n- SAP S\u002F4HANA (Cloud\u002FOn-Premise)\n- SAP BW\u002F4HANA\n- SAP ECC\n- ABAP-based systems\n- Cloud storage (S3, Azure Blob, GCS)\n- Kafka\u002FConfluent\n- SFTP\n\n**Supported Targets**:\n- SAP Datasphere (local tables)\n- Apache Kafka\n- Google BigQuery\n- Cloud storage providers\n- SAP Signavio\n\n**Load Types**:\n- Initial Load: Full data extraction\n- Delta Load: Changed data only\n- Real-Time: Continuous replication\n\nFor replication flow configuration, see `references\u002Fdata-acquisition-preparation.md`.\n\n### Transformation Flows\n\nDelta-aware transformations with automatic change propagation.\n\n**Key Features**:\n- Automatic delta detection\n- Target table management\n- Graphical or SQL view as source\n- Run modes: Start, Delete, Truncate\n\nFor transformation flow details, see `references\u002Fdata-acquisition-preparation.md`.\n\n### Task Chains\n\nOrchestrate multiple tasks in sequence or parallel.\n\n**Supported Tasks**:\n- Data flows\n- Replication flows\n- Transformation flows\n- Remote table replication\n- View persistence\n- Open SQL procedures\n- API tasks\n- BW Bridge process chains\n\n**Features**:\n- Parallel execution branches\n- Input parameters\n- Email notifications\n- Nested task chains\n- Scheduling (simple or cron)\n\n---\n\n## Data Modeling\n\n### Analytic Models\n\nCreate analytics-ready semantic models for SAP Analytics Cloud.\n\n**Components**:\n- **Fact**: Contains measures (quantitative data)\n- **Dimension**: Categorizes data (master data)\n- **Measure**: Quantifiable metrics\n- **Hierarchy**: Navigation structures\n- **Variable**: Runtime parameters\n\n**Creating an Analytic Model**:\n1. Add a fact source (view or table)\n2. Add dimension associations\n3. Define measures with aggregation\n4. Configure variables for filtering\n5. Set data access controls\n\nFor detailed modeling guidance, see `references\u002Fdata-modeling.md`.\n\n### Dimensions\n\nCategorize and filter analytical data.\n\n**Types**:\n- Standard: Basic categorical data\n- Time: Calendar-based filtering\n- Fiscal Time: Custom fiscal calendars\n- Text Entity: Multilingual labels\n\n**Features**:\n- Hierarchies (level-based, parent-child)\n- Time dependency (SCD Type 2)\n- Compound keys\n- Associated text entities\n\n### Measures\n\nQuantifiable values for analysis.\n\n**Types**:\n- Simple: Direct aggregation\n- Calculated: Derived from other measures\n- Restricted: Filtered aggregation\n- Currency Conversion: Dynamic conversion\n- Unit Conversion: Dynamic conversion\n- Count Distinct: Unique value count\n- Non-Cumulative: Point-in-time values\n\n**Aggregation Types**:\n- SUM, MIN, MAX, COUNT, AVG\n- Exception aggregation for non-additive scenarios\n\nFor measure configuration, see `references\u002Fdata-modeling.md`.\n\n### Business Builder\n\nCreate business-oriented semantic models.\n\n**Objects**:\n- **Business Entity**: Reusable dimension\u002Ffact definitions\n- **Fact Model**: Combines business entities\n- **Consumption Model**: Analytics-ready model\n- **Authorization Scenario**: Row-level security\n\nFor Business Builder details, see `references\u002Fdata-modeling.md`.\n\n---\n\n## Connectivity\n\n### Connection Types\n\nSAP Datasphere supports 40+ connection types.\n\n**SAP Systems**:\n- SAP S\u002F4HANA Cloud\u002FOn-Premise\n- SAP BW\u002F4HANA (Model Transfer)\n- SAP BW Bridge\n- SAP ECC\n- SAP HANA (Cloud\u002FOn-Premise)\n- SAP SuccessFactors\n- SAP Fieldglass\n- SAP Marketing Cloud\n- SAP Signavio\n\n**Cloud Platforms**:\n- Amazon S3, Athena, Redshift\n- Google Cloud Storage, BigQuery\n- Microsoft Azure Blob, Data Lake, SQL Database\n- Microsoft OneLake\n\n**Databases**:\n- Oracle\n- Microsoft SQL Server\n- Generic JDBC\n\n**Streaming**:\n- Apache Kafka\n- Confluent\n\n**Other**:\n- Generic OData, HTTP, SFTP\n- Adverity, Precog\n- SAP Open Connectors\n\nFor connection configuration, see `references\u002Fconnectivity.md`.\n\n### Connection Features\n\n| Feature | Description |\n|---------|-------------|\n| Remote Tables | Virtual data access |\n| Data Flows | ETL transformation |\n| Replication Flows | Data replication |\n| Model Import | BW\u002F4HANA model transfer |\n\n---\n\n## Administration\n\n### Spaces\n\nLogical containers for data and objects.\n\n**Configuration**:\n- Storage allocation (disk + in-memory)\n- User access and roles\n- Priority and statement limits\n- Workload management\n\n**Operations**:\n- Create, copy, delete spaces\n- Export\u002Fimport space data\n- Command-line management (datasphere CLI)\n\nFor space management, see `references\u002Fadministration.md`.\n\n### Users and Roles\n\n**Standard Roles**:\n- DW Administrator\n- DW Space Administrator\n- DW Integrator\n- DW Modeler\n- DW Viewer\n\n**Scoped Roles**:\n- Space-specific permissions\n- Custom privilege combinations\n\n**Authentication**:\n- SAP Cloud Identity Services\n- Custom SAML IdP\n- OAuth 2.0 clients\n\nFor user management, see `references\u002Fadministration.md`.\n\n### Monitoring\n\n**Capabilities**:\n- Capacity monitoring (storage, memory, compute)\n- Audit logs (database operations)\n- Activity logs (object changes)\n- Task logs (flow executions)\n\n**Database Analysis**:\n- Create analysis users for debugging\n- Monitor HANA views\n- Stop running statements\n\nFor monitoring details, see `references\u002Fadministration.md`.\n\n---\n\n## Data Integration Monitor\n\n### Remote Tables\n\n**Operations**:\n- Replicate data (full\u002Fdelta\u002Freal-time)\n- Partition data loads\n- Create statistics\n- Monitor queries\n\n### Real-Time Replication\n\n**Features**:\n- Continuous change capture\n- Pause\u002Fresume capability\n- Automatic recovery\n- Watermark tracking\n\n### View Persistence\n\n**Options**:\n- Scheduled refresh\n- On-demand refresh\n- Partition management\n- Memory optimization\n\nFor monitoring details, see `references\u002Fdata-integration-monitor.md`.\n\n---\n\n## CLI Reference\n\n### Datasphere CLI Overview\n\nThe `datasphere` CLI enables command-line administration and automation.\n\n**Installation**:\n```bash\nnpm install -g @sap\u002Fdatasphere-cli\n```\n\n**Authentication**:\n```bash\n# Interactive login\ndatasphere config auth login\n\n# Service key (CI\u002FCD)\ndatasphere config auth login --service-key-path .\u002Fkey.json\n```\n\n**Core Commands**:\n\n| Command | Purpose |\n|---------|---------|\n| `datasphere spaces list` | List all spaces |\n| `datasphere spaces create` | Create a space |\n| `datasphere objects export` | Export objects |\n| `datasphere objects import` | Import objects |\n| `datasphere tasks run` | Execute task chains |\n| `datasphere marketplace list` | List marketplace products |\n\n**CI\u002FCD Integration**:\n```bash\n# Export and import workflow\ndatasphere objects export --space DEV --output-file package.zip\ndatasphere objects import --space PROD --input-file package.zip --overwrite\n```\n\nFor complete CLI reference, see `references\u002Fcli-commands.md`.\n\n---\n\n## Data Products & Marketplace\n\n### Creating Data Products\n\nPackage curated data for internal or external consumption:\n\n1. **Plan**: Define purpose, target consumers, contents\n2. **Prepare**: Create views\u002Fmodels, set semantic usage, document\n3. **Configure**: Set visibility, access controls, terms\n4. **Publish**: Make available in marketplace\n\n**Product Components**:\n- Core assets (views, models, entities)\n- Documentation and sample queries\n- Governance metadata (owner, quality score, SLA)\n\n### Data Marketplace\n\nDiscover and consume published data products:\n\n- **Search**: Find by category, provider, quality\n- **Request Access**: Submit justification, await approval\n- **Consume**: Use in views or SAC stories\n\nFor complete marketplace guidance, see `references\u002Fdata-products-marketplace.md`.\n\n---\n\n## Catalog & Governance\n\n### Data Catalog Features\n\nCentralized discovery and governance:\n\n- **Asset Discovery**: Search all data objects with metadata\n- **Glossary**: Standardized business term definitions\n- **Data Quality**: Automated quality rules and scoring\n- **Lineage**: Trace data from source to consumption\n- **Classification**: Sensitivity levels and compliance tags\n\n### Governance Workflow\n\n```\nCreate Object → Add Metadata → Link Terms → Quality Check → Approve → Publish\n```\n\n**Roles**:\n- **Data Owner**: Business accountability\n- **Data Steward**: Quality and metadata management\n- **Data Custodian**: Technical implementation\n\nFor detailed governance guidance, see `references\u002Fcatalog-governance.md`.\n\n---\n\n## Data Access Controls\n\nImplement row-level security.\n\n**Types**:\n- Single Values: Simple value matching\n- Operator and Values: Complex conditions\n- Hierarchy: Node-based filtering\n- Hierarchy with Directory: Hierarchical permissions\n\n**Application**:\n- Apply to views or analytic models\n- Based on user attributes\n- Import from SAP BW Analysis Authorizations\n\nFor security configuration, see `references\u002Fdata-access-security.md`.\n\n---\n\n## Content Transport\n\nMove content between tenants.\n\n**Methods**:\n- Export\u002FImport packages\n- SAP Cloud Transport Management\n- CSN\u002FJSON file export\n\n**Package Contents**:\n- Views, tables, flows\n- Connections (metadata only)\n- Spaces configuration\n\nFor transport procedures, see `references\u002Fcontent-transport.md`.\n\n---\n\n---\n\n## Common Errors and Solutions\n\n| Error | Cause | Solution |\n|-------|-------|----------|\n| Deployment failed | Circular dependency | Check object dependencies |\n| Connection timeout | Network\u002Ffirewall | Verify Cloud Connector\u002FIP allowlist |\n| Replication stuck | Source lock | Check source system status |\n| Out of memory | Large view | Enable persistence or partitioning |\n| Permission denied | Missing role | Verify space membership and privileges |\n\n---\n\n## Bundled Resources\n\n### Reference Documentation\n\n**Core Data Builder:**\n1. **`references\u002Fdata-acquisition-preparation.md`** - Data flows, replication flows, transformation flows, and table management\n2. **`references\u002Fgraphical-sql-views.md`** - Graphical views, SQL views, E-R models, and intelligent lookups\n3. **`references\u002Fdata-modeling.md`** - Business Builder entities, analytic models, dimensions, measures, and hierarchies\n\n**Connectivity & Integration:**\n4. **`references\u002Fconnectivity.md`** - All 40+ connection types including SAP systems, cloud providers, and streaming platforms\n5. **`references\u002Fdata-integration-monitor.md`** - Task scheduling, monitoring, real-time replication, and delta mechanisms\n\n**Administration & Security:**\n6. **`references\u002Fadministration.md`** - Tenant management, space configuration, user roles, and elastic compute nodes\n7. **`references\u002Fdata-access-security.md`** - Row-level security, DAC configurations, and authorization scenarios\n8. **`references\u002Fcontent-transport.md`** - Package export\u002Fimport, transport management, and tenant migration\n\n**CLI & Automation:**\n9. **`references\u002Fcli-commands.md`** - Complete CLI reference, authentication, CI\u002FCD integration patterns\n\n**Marketplace & Governance:**\n10. **`references\u002Fdata-products-marketplace.md`** - Creating and consuming data products, provider workflows, pricing\n11. **`references\u002Fcatalog-governance.md`** - Data catalog, glossary, quality rules, lineage, classification\n\n**Best Practices & Updates:**\n12. **`references\u002Fbest-practices-patterns.md`** - Architecture patterns, naming conventions, performance optimization, checklists\n13. **`references\u002Fwhats-new-2025.md`** - Q1-Q4 2025 features, Generic HTTP, REST API tasks, deprecations\n\n**MCP Integration:**\n14. **`references\u002Fmcp-tools-reference.md`** - Complete MCP tool reference, 45 tools across 8 categories, API documentation, authentication patterns\n15. **`references\u002Fmcp-use-cases.md`** - 8 real-world use cases with personas, time savings, and ROI analysis ($159K+\u002Fyear savings)\n\n### Plugin Components\n\nThis plugin includes 3 specialized agents, 5 slash commands, and validation hooks:\n\n**Agents** (in `agents\u002F`):\n- `datasphere-modeler` - Data Builder tasks, views, flows, analytic models\n- `datasphere-integration-advisor` - Connectivity, replication, data integration\n- `datasphere-admin-helper` - Space management, security, monitoring\n\n**Commands** (in `commands\u002F`):\n- `\u002Fdatasphere-space-template` - Generate space configurations\n- `\u002Fdatasphere-view-template` - Generate view templates (graphical\u002FSQL)\n- `\u002Fdatasphere-connection-guide` - Step-by-step connection setup\n- `\u002Fdatasphere-cli` - CLI command reference and examples\n\n**Hooks** (in `hooks\u002F`):\n- PreToolUse validation for SQL\u002FSQLScript code quality\n- PostToolUse suggestions for persistence and optimization\n\n## MCP Integration\n\nThis skill integrates with the **SAP Datasphere MCP Server** (@mariodefe\u002Fsap-datasphere-mcp) providing 45 tools for live tenant interaction.\n\n### MCP Tools\n\nThe MCP server enables:\n- **Direct Queries:** Execute SQL and smart queries on live data\n- **Metadata Access:** Inspect tables, views, and analytic models\n- **User Management:** Create, update, delete database users\n- **Catalog Search:** Find assets by name or column\n- **Connection Testing:** Verify connectivity and tenant info\n- **Data Profiling:** Analyze column distributions\n\nSee `\u002Fdatasphere-mcp-tools` command for complete tool list.\n\n### Authentication\n\nOAuth 2.0 Client Credentials with automatic token refresh.\n\nRequired environment variables:\n- `DATASPHERE_BASE_URL`\n- `DATASPHERE_CLIENT_ID`\n- `DATASPHERE_CLIENT_SECRET`\n- `DATASPHERE_TOKEN_URL`\n\n### Performance\n\n- Sub-100ms metadata queries (cached)\n- 100-500ms catalog operations\n- 500-2,000ms OData queries\n- Batch processing up to 50,000 records\n\n### File Structure\n```\nplugins\u002Fsap-datasphere\u002F\n├── .claude-plugin\u002F\n│   └── plugin.json\n├── .mcp.json                         # MCP server configuration\n├── agents\u002F\n│   ├── datasphere-modeler.md\n│   ├── datasphere-integration-advisor.md\n│   └── datasphere-admin-helper.md\n├── commands\u002F\n│   ├── datasphere-space-template.md\n│   ├── datasphere-view-template.md\n│   ├── datasphere-connection-guide.md\n│   ├── datasphere-cli.md\n│   └── datasphere-mcp-tools.md       # MCP tools reference\n├── hooks\u002F\n│   └── hooks.json\n└── skills\u002F\n    └── sap-datasphere\u002F\n        ├── .claude-plugin\u002F\n        │   └── plugin.json\n        ├── SKILL.md\n        ├── README.md\n        └── references\u002F\n            ├── data-acquisition-preparation.md\n            ├── data-modeling.md\n            ├── graphical-sql-views.md\n            ├── connectivity.md\n            ├── administration.md\n            ├── data-integration-monitor.md\n            ├── data-access-security.md\n            ├── content-transport.md\n            ├── cli-commands.md\n            ├── data-products-marketplace.md\n            ├── catalog-governance.md\n            ├── best-practices-patterns.md\n            ├── whats-new-2025.md\n            └── mcp-tools-reference.md    # MCP technical reference\n```\n\n## Documentation Links\n\n- **SAP Help Portal**: [https:\u002F\u002Fhelp.sap.com\u002Fdocs\u002FSAP_DATASPHERE](https:\u002F\u002Fhelp.sap.com\u002Fdocs\u002FSAP_DATASPHERE)\n- **Source Repository**: [https:\u002F\u002Fgithub.com\u002FSAP-docs\u002Fsap-datasphere](https:\u002F\u002Fgithub.com\u002FSAP-docs\u002Fsap-datasphere)\n- **SAP Community**: [https:\u002F\u002Fcommunity.sap.com\u002Ftopics\u002Fdatasphere](https:\u002F\u002Fcommunity.sap.com\u002Ftopics\u002Fdatasphere)\n- **API Reference**: [https:\u002F\u002Fapi.sap.com\u002Fpackage\u002Fsaaborddatasphere](https:\u002F\u002Fapi.sap.com\u002Fpackage\u002Fsaaborddatasphere)\n\n---\n\n**Version**: 2.1.0 | **Last Verified**: 2025-12-28\n",{"name":5,"license":15,"metadata":57,"description":60},{"version":58,"last_verified":59},"2.1.0",1766880000000,"Comprehensive plugin for SAP Datasphere development with 3 specialized agents, 5 slash commands, and validation hooks. Use when building data warehouses on SAP BTP, creating analytic models, configuring data flows and replication flows, setting up connections to SAP and third-party systems, managing spaces and users, implementing data access controls, using the datasphere CLI, creating data products for the marketplace, or monitoring data integration tasks. Covers Data Builder (graphical\u002FSQL views, local\u002Fremote tables, transformation flows), Business Builder (business entities, consumption models), analytic models (dimensions, measures, hierarchies), 40+ connection types (SAP S\u002F4HANA, BW\u002F4HANA, HANA Cloud, AWS, Azure, GCP, Kafka, Generic HTTP), real-time replication, task chains, content transport, CLI automation, catalog governance, and data marketplace. Includes 2025 features: Generic HTTP connections, REST API tasks in task chains, SAP Business Data Cloud integration. Keywords: sap datasphere, data warehouse cloud, dwc, data builder, business builder, analytic model, graphical view, sql view, transformation flow, replication flow, data flow, task chain, remote table, local table, sap btp data warehouse, datasphere connection, datasphere space, data access control, elastic compute node, sap analytics cloud integration, datasphere cli, data products, data marketplace, catalog, governance\n","main","5b00ad8b9f0787969474ff5e9ec417bb55f23827","skills\u002Fai-ml\u002Fsap-skills-main\u002Fsap-skills-main\u002Fplugins\u002Fsap-datasphere\u002Fskills\u002Fsap-datasphere",0,"https:\u002F\u002Fgithub.com\u002FVRIL-LABS\u002Fskill-jam","https:\u002F\u002Fvril.li","https:\u002F\u002Fgithub.com\u002FVRIL-LABS","vril.li","𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗖𝗼𝗻𝘀𝗼𝗿𝘁𝗶𝘂𝗺","2026-08-24 09:21:38",{"source":8,"skillName":5,"commands":72,"prompt":82,"zipAvailable":83},[73,76,79],{"tool":74,"command":75},"npx","npx skills add VRIL-LABS\u002Fskill-jam --skill 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Use when writing, reviewing, or optimizing Three.js code. 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Use when writing, reviewing, or refactoring JavaScript code to ensure optimal performance, maintainability, and modern patterns.","https:\u002F\u002Fgithub.com\u002FVRIL-LABS\u002Fskill-jam\u002Fblob\u002Fmain\u002Fskills\u002Fweb-frontend\u002Fneversight-skills_feed-javascript-best-practices-1.0.2\u002FSKILL.md",[],[188,161,189,164,165,167,169,171,190,191,173,192,193,194,179],"javascript","JavaScript Best Practices","refactoring","performance optimization","patterns","maintainability","name",{"skillNo":196,"name":197,"nameZh":6,"description":198,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":156,"licenseFileUrl":6,"sourceHtmlUrl":199,"categories":200,"keywords":204,"publishedAt":52},"01M6R2B41BN09FYH76BAC5FT7X","css-best-practices","Guidelines for building modern, performant, and accessible CSS using MDN best practices. Use this when styling components, fixing layout shifts, or optimizing CSS performance.","https:\u002F\u002Fgithub.com\u002FVRIL-LABS\u002Fskill-jam\u002Fblob\u002Fmain\u002Fskills\u002Fweb-frontend\u002Fneversight-skills_feed-css-best-practices-1.0.3\u002FSKILL.md",[201],{"categoryNo":202,"categoryName":203,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[205,161,206,165,207,167,173,208,209,35,179],"css","css best practices","components","styling","layout",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":156,"licenseFileUrl":6,"sourceHtmlUrl":214,"categories":215,"keywords":226,"publishedAt":52},"01M6R2A1CEF123TZCNM1XJ2XQ4","frontend-dev","Full-stack frontend development combining premium UI design, cinematic animations,\nAI-generated media assets, persuasive copywriting, and visual art. Builds complete,\nvisually striking web pages with real media, advanced motion, and compelling copy.\nUse when: building landing pages, marketing sites, product pages, dashboards,\ngenerating media assets (image\u002Fvideo\u002Faudio\u002Fmusic), writing conversion copy,\ncreating generative art, or implementing cinematic scroll animations.","https:\u002F\u002Fgithub.com\u002FVRIL-LABS\u002Fskill-jam\u002Fblob\u002Fmain\u002Fskills\u002Fweb-frontend\u002Fminimax-ai-skills-frontend-dev-1.0.1\u002FSKILL.md",[216,217,220,223],{"categoryNo":202,"categoryName":203,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":218,"categoryName":219,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":221,"categoryName":222,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":224,"categoryName":225,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000032","设计师",[227,228,229,230,164,231,205,232,233,234,235,236,237,238,239,240,241,36,242,243],"frontend","dev","frontend dev","design","image","react","ui","Video","Media","Audio","Tailwind","stack","music","aida","framer motion","framer","generative",{"skillNo":245,"name":246,"nameZh":6,"description":247,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":156,"licenseFileUrl":6,"sourceHtmlUrl":248,"categories":249,"keywords":250,"publishedAt":52},"01M6R20VQ98KDX4J37TGE0FNHW","exa-rate-limits","Implement Exa rate limiting, backoff, and idempotency patterns.\nUse when handling rate limit errors, implementing retry logic,\nor optimizing API request throughput for Exa.\nTrigger with phrases like \"exa rate limit\", \"exa throttling\",\n\"exa 429\", \"exa retry\", \"exa backoff\".","https:\u002F\u002Fgithub.com\u002FVRIL-LABS\u002Fskill-jam\u002Fblob\u002Fmain\u002Fskills\u002Fsearch-research\u002Fjeremylongshore-claude-code-plugins-plus-skills-exa-rate-limits-1.0.0\u002FSKILL.md",[],[251,252,253,254,255,256,257,258,259,192,260,261,262,263,264,36,35,265,266,179],"exa","exa rate limits","rate","limits","throttling","api","read","write","edit","io","throughput","retry","errors","limit","rate limit","request",{"skillNo":268,"name":269,"nameZh":6,"description":270,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":156,"licenseFileUrl":6,"sourceHtmlUrl":271,"categories":272,"keywords":276,"publishedAt":52},"01M6R20FV0TM7ZZTZNG7JQ1A82","exa-deploy-integration","Deploy Exa integrations to Vercel, Fly.io, and Cloud Run platforms.\nUse when deploying Exa-powered applications to production,\nconfiguring platform-specific secrets, or setting up deployment pipelines.\nTrigger with phrases like \"deploy exa\", \"exa Vercel\",\n\"exa production deploy\", \"exa Cloud Run\", \"exa Fly.io\".","https:\u002F\u002Fgithub.com\u002FVRIL-LABS\u002Fskill-jam\u002Fblob\u002Fmain\u002Fskills\u002Fsearch-research\u002Fjeremylongshore-claude-code-plugins-plus-skills-exa-deploy-integration-1.0.0\u002FSKILL.md",[273],{"categoryNo":274,"categoryName":275,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署",[277,278,251,279,280,281,282,283,284,285,257,258,259,286,287,288,260,289,290,179],"deploy","integration","exa deploy integration","deployment","run","secrets","fly","Bash","integrations","vercel","up","platform","trigger","cloud run"]