pipeio-guide

Provide structured access to pipeio pipeline metadata and authoring workflows.

1|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/arashshahidi1997/projio --skill pipeio-guide
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pipeio-guide
Source: https://github.com/arashshahidi1997/projio/tree/main/docs/prompts/skills/pipeio-guide
Command: npx skills add https://github.com/arashshahidi1997/projio --skill pipeio-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pipeio-guide provides a structured reference for the pipeio ontology, outlining flow and mod hierarchy, directory layout, configuration conventions, notebook workspaces, mod docs, and MCP tools to streamline pipeline authoring and discovery.

Core Features & Use Cases

  • Ontology guidance: explains how flows, mods, and rules are organized and discoverable.
  • Documentation facets: theory, spec, and delta docs per mod to improve maintainability.
  • MCP tooling integration: enumerates available MCP server tools for flow inspection, editing, and validation.
  • Use Case: a team defines a Snakemake flow, creates mods, writes docs, and uses MCP tools to audit and publish.

Quick Start

Initialize a workspace for a new flow and start exploring mods with MCP tools.

Frequently Asked Questions about pipeio-guide

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

FAQPage Schema
How do I structure pipeline metadata for computational flows?

You organize pipeline metadata using the pipeio ontology, which structures computational flows, mods, and rules hierarchically to support MCP-based discovery and safe authoring across notebook workspaces.

What is the best way to organize mods and rules in a Snakemake flow?

Organize mods and rules by following the pipeio ontology directory layout and configuration conventions, separating theory, spec, and delta documentation per mod to improve maintainability and MCP discovery.

Does MCP tooling support pipeline inspection and validation for computational flows?

Yes, MCP tooling supports computational flows by enumerating server tools for flow inspection, editing, and validation, enabling teams to audit and publish Snakemake pipelines efficiently.

How do I start authoring a new computational flow workspace?

To start authoring a computational flow workspace, initialize a new workspace and explore mods using MCP tools, ensuring your SKILL.md frontmatter includes the required name and description fields for proper validation.

What documentation facets are required for maintaining pipeline mods?

Maintaining pipeline mods requires three documentation facets: theory, spec, and delta docs per mod, which streamline pipeline authoring and ensure computational flows remain discoverable and maintainable.