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Found 14 Skills
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.
Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.
Expert in designing high-level enterprise solutions. Specializes in TOGAF adaptation, trade-off analysis, and aligning technology with business strategy.
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.
Designs technical solutions and architecture. Use when user says "design solution", "architecture design", "technical design", or "方案设计" WITHOUT mentioning PRD. For PRD-specific work, use prd-planner skill instead.
Facilitate collaborative idea exploration and refinement. Guides through iterative questioning, design validation, and solution architecture before implementation.
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
Analyze project briefs to resolve architectural ambiguity before tech stack selection. Determines greenfield vs brownfield, platform constraints, integration requirements, scale expectations, and team context. Produces architecture-context.json for downstream skills.
Principal Solution Architect with 15+ years designing scalable distributed systems. Use when making technology choices, designing system architecture, selecting patterns (Saga, CQRS, Event Sourcing), creating ADRs, planning integrations, or addressing scalability concerns.
Translate discovered client pain points into high-level technology solution architectures for consulting engagements in Software Engineering, Data Platforms, and AI/ML. Produce solution briefs with phased roadmaps, effort estimations, team composition, and technology recommendations. Use when designing a pre-sale technical solution, creating a solution brief for a proposal, or when a prospect needs to understand what the engagement would look like before committing. This is the preventa técnica / solution engineering step.
Design real technical solution architectures for scalable, secure, cost-aware systems by selecting patterns, components, integrations, data flows, and tradeoffs; use when asked for senior solution architecture, system architecture, SaaS architecture, LLM architecture, or architecture decisions after a spec.
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.