Guide empirical economics papers from topic lock-in to versioned submission drafts.
npx skills add https://github.com/CalebLiu/econ-paper-workflow --skill workflow-calebliu
Please help me install this Agent Skill. Skill: 论文workflow Source: https://github.com/CalebLiu/econ-paper-workflow/tree/main Command: npx skills add https://github.com/CalebLiu/econ-paper-workflow --skill workflow-calebliu
This Skill helps users start and complete an empirical economics paper without improvising, by turning a vague research idea into a structured, reproducible, submission-ready workflow.
It guides the full 9-phase process for economics research, including topic selection, literature review, public-data acquisition, R analysis, drafting, review, word-count adjustment, citation formatting, and version archiving.
It is designed for students, researchers, and agent builders working on course papers, dissertations, journal submissions, or replication-and-extension projects that need public data and reproducible methods.
Use this skill when you are starting a new empirical economics paper and want the workflow to begin by confirming the paper type, deadline, topic status, citation style, methods training, data access, and tool stack.
High-intent search queries and answers about installing and using this skill.
An empirical economics paper workflow structures the entire process across nine phases: topic lock-in, literature review, public-data acquisition, R analysis, Pandoc drafting, review, word-count adjustment, citation formatting, and version archiving. It requires phased project management and strict context confirmation before execution.
Yes, R and Pandoc are the primary tools for an econometric paper workflow. R handles the reproducible econometric analysis and public-data processing, while Pandoc manages the drafting and document conversion to produce submission-ready outputs.
Structuring a literature review and citation formatting for an economics dissertation involves dedicated phases within a reproducible workflow. The process includes verifying citations and archiving versioned submission drafts to ensure the final output meets academic standards.
Yes, this research workflow explicitly supports replication and extension projects using public data. It applies reproducible econometric workflows to guide course papers, dissertations, and journal submissions from topic selection to final version archiving.
Before starting an econometric paper workflow, you need to confirm your paper type, deadline, topic status, citation style, methods training, data access, and tool stack. This context confirmation ensures the phased project management proceeds without improvisation.
You should not use an automated research workflow if your project lacks public data access or requires non-reproducible econometric methods. The workflow is designed strictly for empirical economics papers using R-based analysis and Pandoc drafting.
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