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CDUTAKL
CDUTAKLCOMMUNITY
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research-workflow-orchestrator

Coordinates multi-stage thesis and research workflows across specialized research skills.

2|Updated May 22, 2026
Search Tags:#orchestration#literature review#academic writing#citation management#experiment tracking#thesis#research workflow
One-click install
npx skills add https://github.com/CDUTAKL/research-workflow-kit --skill research-workflow-orchestrator-cdutakl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-workflow-orchestrator
Source: https://github.com/CDUTAKL/research-workflow-kit/tree/main/skills/research-workflow-orchestrator
Command: npx skills add https://github.com/CDUTAKL/research-workflow-kit --skill research-workflow-orchestrator-cdutakl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Managing a full thesis or research paper project involves juggling literature review, experiments, figures, writing, and audits; this Skill turns broad research requests into staged workflows with clear skill routing, artifacts, and next actions. ## Core Features & Use Cases - Skill Routing: Maps each research stage to the right specialized skill, such as literature review, experiment engineering, results analysis, figure planning, paper writing, and final audit. - Twelve-Stage Workflow: Provides a structured stage model from topic intake through literature discovery, experiments, figure planning, writing, Mac document production, and Windows compatibility review. - Project Console: Defines a docs/thesis evidence console with files for experiment registries, claim-evidence maps, citation provenance, and final audit records. - Use Case: A graduate student starting a thesis asks what to do next; the Skill inspects the project console, identifies the current stage, and recommends the exact skill sequence, artifacts, and concrete actions. ## Quick Start Use the research-workflow-orchestrator to assess my current thesis project state and plan the next research steps.

Frequently Asked Questions about research-workflow-orchestrator

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

FAQPage Schema
How do I plan a thesis workflow from start to finish?▼

Use the twelve-stage model covering planning, literature review, experiment design, implementation, runs, analysis, figures, writing, document production, and final audit. Each stage maps to a specialized skill and produces traceable artifacts in the docs/thesis console.

What skills does the research workflow orchestrator coordinate?▼

It routes to research-paper-plan, research-literature-review, semanticscholar-skill, research-experiment-engineering, research-results-analysis, research-paper-figures, research-paper-writing, research-data-availability, and research-final-audit, plus tools like Zotero, Scite, and draw.io.

How do I track experiments and evidence for a research paper?▼

Record experiments in experiment-registry.md, link claims to results in claim-evidence-map.md, and maintain citation provenance and data availability files. The console keeps every claim traceable to experiments, figures, and verified citations.

Does this workflow support remote GPU training?▼

Yes, it defines execution targets: local_mac for CPU smoke tests, remote_desktop_4060 as the primary GPU target, and cloud_autodl as a fallback with auto-save and auto-shutdown. Run commands, checksums, and artifact recovery are recorded in the runbook.

When should I not use this orchestrator skill?▼

Skip it for single isolated tasks like reading one PDF or drafting one section; use the specialized skill directly. It is designed for multi-stage projects where coordinating skills, artifacts, and evidence across stages matters.

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