orchestrator

Coordinate end-to-end paper-generation workflows from data ingestion to final manuscript.

Updated Mar 8, 2026
One-click install
npx skills add https://github.com/DamarisDeng/paper-writing-system --skill orchestrator-damarisdeng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/DamarisDeng/paper-writing-system/tree/main/workflow/skills/orchestrator
Command: npx skills add https://github.com/DamarisDeng/paper-writing-system --skill orchestrator-damarisdeng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The orchestrator provides a reliable, automated controller to run the entire paper-generation pipeline (stages 0-9) with built-in validation, retries, and progress tracking, removing the need for manual orchestration.

Core Features & Use Cases

  • End-to-end pipeline execution from data ingestion to final manuscript generation, including initialization, stage management, and results validation.
  • Supports configurable context management modes and a feedback loop to re-rank research questions when analysis fails.
  • Provides structured logging, cycle state tracking, and time budgeting to ensure predictable runs.

Quick Start

Run the orchestrator on your dataset to execute the full paper-generation workflow and generate the final manuscript.

Frequently Asked Questions about orchestrator

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

FAQPage Schema
How do I automate research paper generation from raw data to final manuscript?

Automating research paper generation requires an orchestrator to coordinate end-to-end pipeline stages from data ingestion to final manuscript. It handles initialization, stage sequencing, validation, retry logic, and context management to remove manual orchestration overhead.

What is workflow orchestration for data-intensive research automation?

Workflow orchestration for research automation coordinates end-to-end pipeline execution across data-intensive projects. It applies stage sequencing, cycle state tracking, and progress tracking to reliably transform ingested data into a final manuscript with predictable runs.

Can I configure context management modes when running a paper-generation pipeline?

Configurable context management modes are supported during paper-generation pipeline execution. The orchestrator implements these modes alongside safe fallback options, ensuring predictable runs and structured handling of cycle state across stages.

Does the paper-generation pipeline support validation and retry logic for failed stages?

Validation and retry logic are built into the paper-generation pipeline orchestration. When analysis fails, it provides a feedback loop to re-rank research questions, while time budgeting and structured logging ensure cycle state handling and recovery.

What is the best way to manage stage sequencing for JAMA Network Open-style paper production?

Managing stage sequencing for JAMA Network Open-style paper production is best handled by an automated controller orchestrating stages 0-9. It provides initialization, progress tracking, and cycle state handling to ensure reliable end-to-end manuscript generation.