/engineering-data-pipelines
Data engineering knowledge reference covering Airflow, Dagster, Kafka Streams, Flink, dbt, and data quality patterns. Use when building data pipelines, ETL workflows, stream processing, or data quality checks.
$ npx -y skills add telagod/code-abyss --skill engineering-data-pipelines --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/engineering-data-pipelines
Context preview
The summary Claude sees to decide when to auto-load this skill.
Data engineering knowledge reference covering Airflow, Dagster, Kafka Streams, Flink, dbt, and data quality patterns. Use when building data pipelines, ETL workflows, stream processing, or data quality checks.
SKILL.md
engineering-data-pipelines.SKILL.mdname: engineering-data-pipelines description: Data engineering knowledge reference covering Airflow, Dagster, Kafka Streams, Flink, dbt, and data quality patterns. Use when building data pipelines, ETL workflows, stream processing, or data quality checks. user-invocable: false
数据工程域 · Data Engineering
> **判断先于执行**：决定「是否做 / 选什么 / 如何取舍」（栈、方案、架构、权衡）前，先读领域判断内核 `skills/_kernel/backend/SKILL.md`——它管 judgment，本秘典管 execution；冲突时以内核判断为准。
编排：Airflow(调度) | Dagster(资产) | Prefect(现代流) 流处理：Kafka Streams(嵌入式) | Flink(集群) | Spark Streaming 质量：Great Expectations | dbt tests | Soda Core
编排检查项
幂等(UPSERT/分区覆盖) | 增量(`WHERE updated_at > last_run`) | 事件驱动触发 | 跨 DAG 依赖 | 数据血缘(`ref()`/Asset deps)
流处理检查项
时间语义选择 | Watermark 乱序容忍 | 状态 TTL 防膨胀 | Checkpoint 间隔 | 端到端 Exactly-Once | 背压监控
质量检查项
分层验证(源→转换→目标) | 完整性+准确性+一致性 | 及时性阈值 | 加权评分 | 告警(Slack/PagerDuty)
工具对比、API 用法、质量维度详见 [references/details.md](references/details.md)
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Repo: telagod/code-abyss
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