Loading...
Loading...
Found 7 Skills
Expert guidance for architecting and troubleshooting Adobe Workfront Planning (WFP, also called "Maestro"): workspace and record-type design, record connections and hierarchies, formula fields, object and connection limits across Select/Prime/Ultimate tiers, the Planning API (filtering, bulk actions, workspace builds), Fusion, AI Assistant, GenStudio, Canvas Dashboards, views, access/licensing, and request forms. Use this skill whenever the user asks about Workfront Planning or Maestro: designing or building a workspace, connecting record types, fixing a broken formula, hitting or asking to raise a limit (such as the 500 connected-records or 25,000 records-per-type caps), tier and capacity questions, filtering records through the API, choosing an automation surface, or reconciling Adobe's public docs against actual API behavior. Also trigger for "build me a Planning workspace", "why is my formula failing", "what's the max records per type", or "Select vs Prime vs Ultimate limits".
Interactively discovers requirements for a specific cloud workload and generates design recommendations and architectural guidance to build a multi-product solution in Google Cloud. Use this skill for holistic, end-to-end design recommendations and architectural guidance for complex, multi-product workloads on Google Cloud for specific use cases. Don't use this skill when other specialized skills (e.g., product-specific or google-cloud-recipe-*) directly address the user's workload or use case.
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
Facilitate collaborative idea exploration and refinement. Guides through iterative questioning, design validation, and solution architecture before implementation.
Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.
Use this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.
Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is accessed through federation mechanisms such as Apache Iceberg, other "zero-copy ETL" methods, or remote query push-down. Use this skill when designing an architecture for efficient analytics across large volumes of structured and unstructured data that's located in multiple systems and environments, including other cloud providers and on-premises.