pipeline-run

Generate a ready-to-paste python main.py command for the directory-pipeline project.

17|2|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/hadro/directory-pipeline --skill pipeline-run-hadro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pipeline-run
Source: https://github.com/hadro/directory-pipeline/tree/main/.claude/skills/pipeline-run
Command: npx skills add https://github.com/hadro/directory-pipeline --skill pipeline-run-hadro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds the exact command to run the directory-pipeline project, removing guesswork and ensuring reproducibility across runs.

Core Features & Use Cases

  • Generates a ready-to-paste python main.py command based on the current output state.
  • Detects prior steps (manifest, surya/gemini, alignment, and prompts) to tailor the command.
  • Provides explanations of each flag and guidance on next steps in the pipeline workflow.

Quick Start

Explain your goal and source, and I will output the exact ready-to-run command.

Frequently Asked Questions about pipeline-run

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

FAQPage Schema
How do I generate the exact run command for a directory-pipeline project?

The pipeline-run command generator detects prior steps like manifest, surya, gemini, alignment, prompts, and entries by parsing your project root. It then constructs a command tailored to continue from that existing state.

How does the pipeline detect existing outputs to build a continuation command?

The pipeline detects prior steps like manifest, surya, gemini, alignment, prompts, and entries by parsing your project root. It then constructs a command tailored to continue from that existing state.

Can I get explanations for each flag when generating a pipeline run command?

Yes, generating a pipeline run command includes detailed explanations for each flag provided. This ensures you understand the command structure and receive guidance on the next steps in your workflow.

What is the best way to ensure reproducibility when running a directory-pipeline?

The best way to ensure reproducibility when running a directory-pipeline is to use a command generator. It removes guesswork by building an exact python main.py command based on detected prior outputs.

Do I need to manually track pipeline steps before generating a new run command?

No, you do not need to manually track pipeline steps. The tool automates detection of prior steps like manifest and alignment by parsing the project root, ensuring the generated run command is accurate.