Provides patterns to configure AWS RDS (Aurora, MySQL, PostgreSQL) with Spring Boot applications. Configures HikariCP connection pools, implements read/write splitting, sets up IAM database authentication, enables SSL connections, and integrates with AWS Secrets Manager. Use when setting up RDS connections in Spring Boot, configuring connection pooling, or managing database credentials securely.
Docker Compose operations: service orchestration, compose file authoring, multi-stage builds, networking, volumes, and production configurations.
Assemble data, options, and analysis for a pending decision. Presents trade-offs and recommendations without making the decision. Used by digital twin personas to reduce decision fatigue.
Scan open pull requests, assess risk and complexity, and build a prioritized review queue. Used by digital twin personas to reduce PR review cognitive load.
Comprehensive SAC scripting skill for SAP Analytics Cloud Analytics Designer and Optimized Story Experience. This skill should be used when the user asks to "create SAC script", "debug Analytics Designer", "optimize SAC performance", "planning operations in SAC", "filter data in SAC", "use DataSource API", "chart scripting", "table manipulation", "SAC event handlers", "version management", "data locking", "Optimized Story Experience API", "OSE scripting", "OSE widget API", "OSE DataSource", "story scripting API", "OSE planning API", "OSE method", "optimized story", "SAC story scripting", "story script", "SAC scripting", or works with SAC widgets, planning models, or analytics applications.
SAP Datasphere development skill 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, managing spaces and users, implementing data access controls, or using the datasphere CLI. Covers Data Builder, Business Builder, analytic models, 40+ connection types, real-time replication, task chains, content transport, and data marketplace.
Assists with SAP HANA Developer CLI (hana-cli) for database development and administration. Use when: installing hana-cli, connecting to SAP HANA databases, inspecting database objects (tables, views, procedures, functions), managing HDI containers, executing SQL queries, converting metadata to CDS/EDMX/OpenAPI formats, managing SAP HANA Cloud instances, working with BTP CLI integration, or troubleshooting hana-cli commands. Covers: 91 commands, 17+ output formats, HDI container management, cloud operations.
Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating replication flows, developing ML scenarios with JupyterLab, or using Data Transformation Language functions. Covers Gen1/Gen2 operators, subengines (Python, Node.js, C++), structured data operators, and repository objects.
Comprehensive ABAP development skill for SAP systems. Use when writing ABAP code, working with internal tables, structures, ABAP SQL, object-oriented programming, RAP (RESTful Application Programming Model), CDS views, EML statements, ABAP Cloud development, string processing, dynamic programming, RTTI/RTTC, field symbols, data references, exception handling, or ABAP unit testing. Covers both classic ABAP and modern ABAP for Cloud Development patterns.
Comprehensive SAP ABAP CDS (Core Data Services) reference for data modeling, view development, and semantic enrichment. Use when creating CDS views or view entities, defining data models with annotations, working with associations and cardinality, implementing input parameters, using built-in functions, writing CASE expressions, implementing access control with DCL, handling CURR/QUAN data types, troubleshooting CDS errors, querying CDS views from ABAP, or displaying data with SALV IDA. Covers ABAP 7.4+ through ABAP Cloud.
TTNN trace capture and replay for eliminating dispatch overhead. Essential for real-time inference and multi-chip performance.
Enforces design review gate after brainstorming — bridges superpowers:brainstorming into the metaswarm quality pipeline
Build reproducible data science pipelines with Kedro for research projects
Open-source deep research agent by Alibaba for scholarly research
Best practices for computational research notebooks with reproducible workflows
Create reproducible research workflows with R and RMarkdown/Quarto
Secure sandboxed code execution environments for reproducible research computing
Ethical Google Scholar data collection techniques and best practices
Systematic data cleaning workflows for research datasets
Data cleaning, transformation, and exploratory analysis with pandas
Clean, transform, and validate messy research data using Stata
Query computational catalysis reaction data via Catalysis Hub GraphQL
