Generate SCI-level academic papers from optimization results via a multi-phase workflow.
npx skills add https://github.com/sloth09/Green_Cor --skill paper-writer-sloth09
Please help me install this Agent Skill. Skill: paper-writer Source: https://github.com/sloth09/Green_Cor/tree/main/.claude/skills/paper-writer Command: npx skills add https://github.com/sloth09/Green_Cor --skill paper-writer-sloth09
This Skill automates the creation of high-quality, SCI-level academic papers from optimization results, streamlining the research publication process.
Use the paper writer skill to start writing a deterministic paper.
High-intent search queries and answers about installing and using this skill.
Automate academic writing by ingesting optimization results from CSV files and figures through a 10-phase workflow, generating a data-driven narrative with methodology, results, discussion, and abstract sections.
The best way to write an SCI-level research paper from data is using a structured workflow that enforces evidence integration, ensuring all scientific publication claims are rigorously supported by specific data points and figures.
Yes, the paper generation workflow supports stochastic optimization results, alongside deterministic and combined paper types, to accurately frame your data-driven narrative and analysis.
Yes, you can use CSV files and figures to support claims in the generated research paper; the workflow enforces evidence integration by mapping specific data points directly into the cohesive narrative.
A limitation of automating scientific publication generation is that the workflow strictly enforces data-driven claims, meaning papers cannot include unsupported narrative statements or conclusions lacking direct optimization results.
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