phase-pipeline

Plan and execute multi-step research pipelines within the neuroflow framework.

6|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/stanislavjiricek/neuroflow --skill phase-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: phase-pipeline
Source: https://github.com/stanislavjiricek/neuroflow/tree/main/skills/phase-pipeline
Command: npx skills add https://github.com/stanislavjiricek/neuroflow --skill phase-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides guidance for planning and executing multi-step research pipelines, ensuring a structured and efficient workflow from ideation to paper publication.

Core Features & Use Cases

  • Pipeline Orchestration: Manages sequences of neuroflow commands, supporting both interactive and automated execution.
  • State Awareness: Reads project state (flow.md, project_config.md) to propose relevant next steps.
  • Graceful Resumption: Restores and continues interrupted pipelines based on pipeline-plan.md.
  • Use Case: Automate the entire research process, from initial idea generation and data collection through analysis and paper writing, with options to pause and confirm at each stage or run in a fully automated "brutal" mode.

Quick Start

Use the phase-pipeline skill to plan and execute the standard research pipeline interactively.

Frequently Asked Questions about phase-pipeline

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

FAQPage Schema
How do I automate a multi-step research workflow from data collection to publication?

You can automate a multi-step research workflow by orchestrating neuroflow pipeline sequences, supporting both interactive step-by-step confirmation and fully automated execution from ideation to paper publication.

Can I resume an interrupted research pipeline without losing progress?

Yes, you can gracefully resume interrupted research pipelines by restoring execution state and continuing the workflow based on the saved pipeline-plan.md file.

How does state-aware planning work for research pipelines?

State-aware planning reads project configuration files like flow.md and project_config.md to evaluate current workflow status and propose relevant next steps in the research pipeline.

What is the difference between interactive and automated execution modes in research pipelines?

Interactive mode pauses the research pipeline for confirmation at each execution phase, while automated mode runs the entire sequence continuously without manual intervention.

Do I need specific project files to start phase execution in a research pipeline?

Yes, phase execution requires existing project state files such as flow.md and project_config.md to determine the current workflow status and generate relevant pipeline steps.