mthds-run

Name: mthds-run
Availability: InStock
Author: MTHDS

Execute MTHDS method bundles and interpret their JSON output.

Updated Aug 27, 2026

Search Tags:#workflow #cli #pipeline #run #execute #mthds

Ready to run

npx skills add https://github.com/mthds-ai/skills --skill mthds-run

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mthds-run
Source: https://github.com/mthds-ai/skills/tree/main/skills/mthds-run
Command: npx skills add https://github.com/mthds-ai/skills --skill mthds-run

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows users to execute MTHDS methods (pipelines) directly, providing a way to test, validate, and run their AI workflows.

Core Features & Use Cases

Execute Pipelines: Run MTHDS method bundles from the command line.
Input Handling: Supports preparing inputs, including dry runs with mock data when real inputs are not ready.
Output Presentation: Clearly displays results, including JSON output and execution graphs.
Use Case: After defining a new AI method for sentiment analysis, use this Skill to run it with sample text and see the sentiment score.

Quick Start

Run the MTHDS method located in the 'my-pipeline' directory.

Frequently Asked Questions about mthds-run

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

FAQPage Schema

How do I execute a command line pipeline with mock input data?▼

You can execute command line pipelines using dry runs to test execution with mock inputs when real data is not ready. The Skill validates CLI and runtime versions, checks input readiness, and displays the JSON output.

Can I generate an execution graph for a JSON workflow pipeline?▼

Yes, you can generate execution graphs for JSON workflow pipelines. The Skill interprets JSON output from method bundles and presents results in either compact or memory-aware formats.

What is the best way to validate CLI and runtime versions before running a pipeline?▼

Validating CLI and runtime versions before running a pipeline is handled automatically during execution. The Skill checks environment versions and input readiness before attempting to execute the method bundles.

Does piping methods for pipeline execution support memory-aware output formats?▼

Piping methods for pipeline execution does support memory-aware output formats. You can present interpreted JSON results compactly or in memory-aware layouts to manage resource consumption.

Why does my method bundle execution fail before checking input readiness?▼

Method bundle execution fails before checking input readiness if CLI or runtime version validation fails. The Skill enforces version validation first to ensure the environment meets execution prerequisites.

What is an MTHDS method bundle and when do I need to run it?▼

An MTHDS method bundle is a packaged AI workflow pipeline that you run to test, validate, and execute processes. You need to run it when you want to process inputs and generate JSON output or execution graphs.