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Table format and catalog guidance — delegates to architect-lakehouse agent. Use when working with Iceberg, Delta Lake, catalogs, or migrating from legacy table formats.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | lakehouse |
| description | Table format and catalog guidance — delegates to architect-lakehouse agent. Use when working with Iceberg, Delta Lake, catalogs, or migrating from legacy table formats. |
Get guidance on Iceberg, Delta Lake, catalogs, and open table formats
/lakehouse <description-or-question>
/lakehouse "Set up Iceberg tables with partition evolution"
/lakehouse "Migrate from Hive to Iceberg on AWS"
/lakehouse "Compare Delta Lake vs Iceberg for our use case"
/lakehouse "Configure Unity Catalog for multi-cloud"
lakehouse and cloud-platforms domains| Agent | Role |
|---|---|
architect-lakehouse | Primary — Iceberg, Delta, catalog governance |
architect-data-platform-engineer | Escalation — when infra provisioning is needed |
de-spark-engineer | Escalation — when Spark read/write optimization is needed |
lakehouse — Iceberg v3, Delta Lake, catalog wars, DuckLakecloud-platforms — platform-specific Iceberg/Delta patternsspark — Spark table format integrationThe agent generates table definitions, catalog configs, and operational runbooks for your lakehouse setup.
Create a pull request with conventional commits and a structured description. Supports GitHub and Azure DevOps — platform is auto-detected from the git remote. Use when the user wants to open a PR, commit changes, or submit work for review.
Create a pull request with conventional commits and a structured description. Supports GitHub and Azure DevOps — platform is auto-detected from the git remote. Use when the user wants to open a PR, commit changes, or submit work for review.
Analyze meeting transcripts — extract decisions, action items, and create SSOT documents. Use when processing standup notes, stakeholder reviews, or sprint meetings.
Save valuable insights from the current session to storage. Use when you've discovered decisions, patterns, or gotchas worth remembering across sessions.
Generate comprehensive, production-ready README.md by analyzing codebase with explorer + documenter agents. Use when creating or updating project documentation.
Sync project context to copilot-instructions.md by analyzing codebase patterns and conventions. Use after adding agents, commands, or significant architecture changes.