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.