How does this improve Claude Code's performance?

By providing a structured way to reference external resources, it reduces ambiguity and ensures Claude executes the correct scripts in the intended order.

Which programming languages does this skill support?

The skill is configured to handle Bash (.sh) and Python (.py) scripts for tasks like data analysis and input validation.

Is this skill meant for production use?

While it functions as a test fixture for the Plan Marshall framework, its patterns can be applied to any project requiring organized script management.

What does the Table References skill do?

It allows the Plan Marshall orchestration layer to detect and execute scripts or reference documents that are organized within Markdown tables.

Markdown Table Reference Handler

Name: Markdown Table Reference Handler
Author: cuioss

bycuioss

Developer Tools

Validates and detects script references embedded within Markdown tables for the Plan Marshall orchestration layer.

About

The Table References skill is a specialized utility designed as a test fixture for the Plan Marshall orchestration layer, ensuring that external scripts and documentation references are correctly identified when formatted within Markdown tables. It streamlines the process of executing Bash and Python scripts for data analysis and input validation, allowing developers to maintain organized, table-driven documentation that Claude Code can interact with programmatically.

Key Features

Links external documentation guides directly to action steps
Identifies scripts and references within Markdown table structures
Integrates Python-driven input validation workflows
Ensures structural consistency for AI-driven orchestration
Supports automated execution of Bash-based data analysis
0 GitHub stars

Use Cases

Organizing multi-step script executions in a readable format
Testing orchestration layer parsing for complex Markdown files
Automating data validation and analysis pipelines via Claude Code

About

Key Features

Links external documentation guides directly to action steps
Identifies scripts and references within Markdown table structures
Integrates Python-driven input validation workflows
Ensures structural consistency for AI-driven orchestration
Supports automated execution of Bash-based data analysis
0 GitHub stars

Use Cases

Organizing multi-step script executions in a readable format
Testing orchestration layer parsing for complex Markdown files
Automating data validation and analysis pipelines via Claude Code