メニュー
AgentSpec commands for data-engineering. Use /data-engineering-commands + intent. Reads .github/config/grounding.md before executing. Commands: /ai-pipeline, /data-contract, /data-quality, /lakehouse, /migrate, /pipeline, /schema, /sql-review
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | data-engineering-commands |
| description | AgentSpec commands for data-engineering. Use /data-engineering-commands + intent. Reads .github/config/grounding.md before executing. Commands: /ai-pipeline, /data-contract, /data-quality, /lakehouse, /migrate, /pipeline, /schema, /sql-review |
| license | MIT |
| compatibility | GitHub Copilot VS Code, GitHub Copilot cloud agent |
| metadata | {"version":"1.1.0","category":"commands","migrated-from":".github/skills/data-engineering/"} |
Invoke:
/data-engineering-commands+ descrição da tarefa
Estas regras valem para todos os comandos desta skill.
.github/config/grounding.md..github/config/routing.json e selecione o agente pelo comando solicitado.[GROUNDING] exigido por .github/config/grounding.md.Cada comando delega a um agente primário. Se o escopo exigir, o agente primário pode escalar para agentes complementares:
| Tipo | Caminho correto |
|---|---|
| Agentes data-engineering | .github/agents/data-engineering.{name}.agent.md |
| Agentes architect | .github/agents/architect.{name}.agent.md |
| Agentes test | .github/agents/test.{name}.agent.md |
| KB domains | .github/kb/{domain}/quick-reference.md |
| Templates | .github/sdd/templates/*.md |
| Instruções Copilot | .github/copilot-instructions.md |
.claude/** ou .agents/**.#skill: ou skill:../projects/{feature-name}/ quando em contexto de build.| Comando | Descrição | Arquivo | Agente Primário | KB Domains |
|---|---|---|---|---|
/ai-pipeline | RAG, embeddings, vector DBs, feature stores | commands/ai-pipeline.md | ai-data-engineer | ai-data-engineering, streaming |
/data-contract | Contratos de dados (ODCS), SLAs, governance | commands/data-contract.md | data-contracts-engineer | data-quality, data-modeling |
/data-quality | Regras de qualidade, expectations, test suites | commands/data-quality.md | data-quality-analyst | data-quality, dbt, data-modeling |
/lakehouse | Table formats, catalogs, medallion architecture | commands/lakehouse.md | lakehouse-architect | lakehouse, cloud-platforms, spark |
/migrate | Migrações de ETL legado para stacks modernos | commands/migrate.md | dbt-specialist / spark-engineer | dbt, spark, airflow, sql-patterns |
/pipeline | Orquestração de pipelines (Airflow, dbt, etc.) | commands/pipeline.md | pipeline-architect | airflow, dbt, data-quality |
/schema | Design de schema, modelagem dimensional | commands/schema.md | schema-designer | data-modeling, sql-patterns, data-quality |
/sql-review | Review de SQL, performance, anti-patterns | commands/sql-review.md | code-reviewer | sql-patterns, data-quality, dbt |
Quando um comando detectar necessidade de outro domínio:
/data-quality/data-contract/lakehouseO agente deve informar a escalação e continuar ou pedir confirmação, dependendo do impacto.
AgentSpec commands for workflow. Use /workflow-commands + intent. Reads .github/config/grounding.md before executing. Commands: /brainstorm, /build, /validate, /create-pr, /define, /design, /iterate, /ship
AgentSpec commands for managing project knowledge context. Use /knowledge-context-commands + intent. Reads .github/config/grounding.md before executing. Commands: /create-context, /update-context, /check-context
Meta-skill for scaffolding new AgentSpec skills. Creates skill directory structure with SKILL.md, commands/, references/, templates/, and scripts/.
AgentSpec commands for knowledge. Use /knowledge-commands + intent. Reads .github/config/grounding.md before executing. Commands: /create-kb, /update-kb, /refresh-stale-kbs
Generate beautiful, self-contained HTML pages that visually explain systems, code changes, plans, and data. Use when the user asks for a diagram, architecture overview, diff review, plan review, project recap, comparison table, or any visual explanation of technical concepts. Also use proactively when you are about to render a complex ASCII table (4+ rows or 3+ columns) — present it as a styled HTML page instead.
AgentSpec commands for core. Use /core-commands + intent. Reads .github/config/grounding.md before executing. Commands: /meeting, /memory, /readme-maker, /status, /sync-context