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explain-pipeline-step

Merge DATA_FLOW.md and module documentation into unified pipeline step explanations.

3|Updated Jun 3, 2022
Search Tags:#automation#documentation#ai#pipeline#module#data-flow#explain
One-click install
npx skills add https://github.com/Hohlas/SoSimple --skill explain-pipeline-step
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: explain-pipeline-step
Source: https://github.com/Hohlas/SoSimple/tree/main/.kilocode/skills/explain-pipeline-step
Command: npx skills add https://github.com/Hohlas/SoSimple --skill explain-pipeline-step

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers and AI agents quickly generate a clear, cross-referenced explanation for a specific pipeline step by synthesizing information from DATA_FLOW.md and module documentation.

Core Features & Use Cases

  • Cross-reference synthesis: pulls relevant details from DATA_FLOW.md, MODULE_INDEX.md, and docs/[category]/[script].md to produce a unified explanation.
  • Context-aware outputs: presents the step's purpose, inputs, outputs, parameters, and how it fits into broader pipelines.
  • Use Case: onboarding new engineers to a complex data processing pipeline by providing a single, coherent explanation of a given step.

Quick Start

Run explain step normalization to generate a detailed explanation of the normalization step.

Frequently Asked Questions about explain-pipeline-step

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I document a specific data pipeline step for new engineers?▼

You can document a data pipeline step by merging information from DATA_FLOW.md and module documentation. This synthesizes the step's purpose, inputs, outputs, parameters, and deployment considerations into a single coherent explanation for onboarding.

What is the best way to explain module parameters in a data processing pipeline?▼

Explaining module parameters is done by cross-referencing DATA_FLOW.md with module documentation. This approach extracts parameter details and contextual data-flow information to deliver a unified description of how specific pipeline configurations vary across implementations.

How does cross-referencing DATA_FLOW.md with module documentation work?▼

Cross-referencing works by pulling relevant details from DATA_FLOW.md, MODULE_INDEX.md, and docs/[category]/[script].md. It stitches these separate documents together to produce a context-aware output describing the step's role in the broader pipeline.

Can I generate a unified explanation for a pipeline step without manual documentation review?▼

Yes, you can generate a unified explanation automatically by querying the pipeline step name. The system merges details from existing DATA_FLOW.md and module docs to deliver a concise, context-rich description without needing to manually review each file.

Does this documentation approach work for complex data processing pipelines with varying implementations?▼

Yes, this approach is designed for software-engineering workflows where pipeline steps and their parameters vary across implementations. It synthesizes multiple documentation sources to provide consistent explanations regardless of pipeline complexity.

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