data-pipeline-debugging
CommunityRoot-cause data pipeline bugs for reliable results.
Authorphotonics-dhl
Version1.0.0
Installs0
System Documentation
What problem does it solve?
数据管道在数据富化阶段若出现异常，往往难以定位根因，继续深挖排序或聚合逻辑会浪费时间。本 Skill 提供一套系统化的方法论，帮助快速定位数据管道中的上游数据源、富化函数和规则导致的错误。
Core Features & Use Cases
- 数据富化问题定位：通过分步排查定位错误根因，而非盲目修改下游公式。
- 跨源管道诊断：可应用于包含多数据源的 ETL 流程，trace 数据流和 enrich 阶段。
- 可复用的诊断流程：提供步骤清单和验证点，便于复现和持续改进。
- 使用场景示例：当从多个 source 收集论文元数据时，某些来源的字段缺失导致排序异常，按此方法定位到 enrich_papers 的处理逻辑。
Quick Start
Follow the step-by-step diagnostic workflow to locate and fix the upstream data enrichment root cause in a failing pipeline.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-pipeline-debugging Download link: https://github.com/photonics-dhl/Hermes/archive/main.zip#data-pipeline-debugging Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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