academic-pipeline

Coordinate nine-stage academic pipeline stages with handoffs and integrity gates.

4|1|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill academic-pipeline-aravindan20
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: academic-pipeline
Source: https://github.com/ARAVINDAN20/Claude-Research-Paper-OS/tree/main/.claude/skills/academic-research-skills/academic-pipeline
Command: npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill academic-pipeline-aravindan20

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires deep-research, academic-paper, academic-paper-reviewer.

What problem does it solve?

This orchestrator coordinates a multi-stage academic pipeline from research exploration to final manuscript, ensuring staged handoffs, mode recommendations, and rigorous state tracking. It does not perform substantive work itself; it dispatches specialized skills, enforces checkpoints, and maintains an auditable pipeline history to produce submission-ready manuscripts with reproducible quality gates.

Core Features & Use Cases

  • Orchestrates the full academic workflow (research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize), coordinating stage transitions and handoffs.
  • Proactively manages adaptive checkpointing and state tracking to ensure user engagement and governance of the workflow.
  • Supports mid-entry entry points, external reviews, and multi-stage revision cycles with transparent audit trails.
  • Enables reproducible quality assurance by standardizing gate checks, revision loops, and process summaries for each run.

Quick Start

Provide your topic and any existing materials, then start the pipeline from Stage 1 RESEARCH to begin the end-to-end workflow.

Frequently Asked Questions about academic-pipeline

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

FAQPage Schema
How do I automate the academic paper writing workflow from research to final manuscript?

Automating the academic paper workflow involves orchestrating stage handoffs across nine stages from research to finalization. This pipeline coordinates specialized skills for writing, peer-review, and integrity verification to produce a submission-ready manuscript with an auditable history.

Can I start the academic pipeline midway if I already have a drafted manuscript?

Yes, you can start the academic pipeline midway using mid-entry entry points. The orchestrator supports multi-stage revision cycles and external reviews, allowing you to inject existing materials and begin at the appropriate integrity check or revision stage.

Do I need specialized skills for peer-review and integrity verification to use this workflow?

Yes, the workflow requires specialized skills including deep-research, academic-paper, and academic-paper-reviewer. The orchestrator dispatches these dependencies to perform substantive work while it focuses on managing adaptive checkpointing and state tracking.

What is the best way to track academic manuscript revisions and ensure reproducible quality?

The best way to track manuscript revisions is through standardized gate checks and transparent audit trails. The pipeline enforces integrity gates at each stage transition, maintaining an auditable pipeline history that ensures reproducible quality assurance for every run.

How does the orchestrator handle stage transitions and mode recommendations during academic writing?

The orchestrator handles stage transitions by enforcing adaptive checkpointing and dispatching specialized skills for each phase. It provides mode recommendations across the nine stages, ensuring proper handoffs between research, writing, reviewing, and finalizing without performing substantive work itself.

What are the limitations of using an orchestrator for academic paper generation?

The limitation is that the orchestrator does not perform substantive research or writing work itself. It purely coordinates the workflow, dispatches specialized skills, and maintains state tracking, meaning it requires functional dependencies to execute the actual academic content generation.