Academic Paper Writer
- 497 installs
- 590 repo stars
- Updated June 23, 2026
- meleantonio/awesome-econ-ai-stuff
academic-paper-writer is an economics manuscript drafting skill that produces journal-style papers with sections and citation placeholders for developers and researchers who need submission-ready writeups from econometri
About
academic-paper-writer is an agent skill from awesome-econ-ai-stuff that drafts economics journal-style manuscripts with proper sections, citation placeholders, and econometric narrative. Developers and quantitative researchers reach for it after running analysis pipelines and needing a structured paper—introduction, methods, results, discussion—rather than raw notebook exports. The skill targets submission-ready prose aligned with economics publishing conventions, embedding placeholders where bibliographies and references will land. It suits teams turning reproducible analysis into formal academic output without manually reformatting every section from scratch.
- Economics paper section templates and tone
- Methods, results, and policy discussion scaffolding
- Citation and appendix structuring guidance
- Aligns prose with empirical findings and identification
Academic Paper Writer by the numbers
- 497 all-time installs (skills.sh)
- +11 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #153 of 688 Office & Documents skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/meleantonio/awesome-econ-ai-stuff --skill academic-paper-writerAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 497 |
|---|---|
| repo stars | ★ 590 |
| Last updated | June 23, 2026 |
| Repository | meleantonio/awesome-econ-ai-stuff ↗ |
How do you draft an economics journal paper from analysis?
Draft economics journal-style manuscripts with proper sections, citations placeholders, and econometric narrative when turning analysis into a submission-ready paper.
Who is it for?
Developers and researchers with completed econometric analysis who need a structured economics journal manuscript draft for submission.
Skip if: General technical README writing, non-economics papers, or teams that only need code review without formal academic manuscript structure.
When should I use this skill?
User asks to turn econometric or economics analysis into a journal-style paper with sections and citations.
What you get
Journal-style manuscript draft with sections, citation placeholders, and econometric narrative
- Journal manuscript draft
- Citation placeholders
- Econometric narrative sections
Files
Academic Paper Writer
Purpose
This skill helps economists draft, structure, and polish academic papers with proper conventions for economics journals. It provides templates for different paper types and guidance on academic writing style.
When to Use
- Starting a new research paper from scratch
- Restructuring an existing draft
- Writing specific sections (introduction, literature review, conclusion)
- Preparing papers for journal submission
Instructions
Step 1: Identify Paper Type
Ask the user: 1. Is this empirical or theoretical? 2. What is the target journal/audience? 3. What stage is the paper at? (outline, first draft, revision) 4. What sections need help?
Step 2: Follow the IMRAD Structure
For empirical papers, use: 1. Introduction - Motivation, research question, contribution 2. Literature Review - Related work and positioning 3. Data & Methods - Sources, sample, empirical strategy 4. Results - Main findings with tables/figures 5. Discussion - Interpretation, mechanisms, limitations 6. Conclusion - Summary and implications
Step 3: Apply Economics Writing Conventions
- First paragraph should state the research question and main finding
- Use present tense for established facts, past tense for your findings
- Be precise with causal language (effect vs. association)
- Cite heavily in the literature review
- Lead with results in the results section
Example Output: Introduction Template
\section{Introduction}
% Hook - Why does this matter?
[TOPIC] is a fundamental question in economics, with implications for
[POLICY AREA] and [BROADER RELEVANCE]. Despite extensive research,
we still lack clear evidence on [SPECIFIC GAP].
% Research question
This paper asks: [RESEARCH QUESTION IN PLAIN LANGUAGE]?
Specifically, we examine whether [PRECISE FORMULATION OF THE QUESTION].
% Preview of answer
We find that [MAIN RESULT IN ONE SENTENCE]. This effect is
[economically significant / modest / heterogeneous], with
[QUANTITATIVE SUMMARY: e.g., "a one standard deviation increase
in X associated with a Y percent increase in Z"].
% Methodology (brief)
To identify this effect, we exploit [IDENTIFICATION STRATEGY:
natural experiment / RCT / instrumental variable / RDD].
Our data come from [DATA SOURCE], covering [TIME PERIOD]
and [SAMPLE SIZE] observations.
% Contribution / Related literature
Our paper contributes to several strands of literature.
First, we extend the work of \citet{Author2020} by [EXTENSION].
Second, we provide new evidence on [MECHANISM/CHANNEL] that
complements \citet{OtherAuthor2019}. Finally, our findings
have implications for [POLICY/FUTURE RESEARCH].
% Roadmap
The remainder of the paper is organized as follows.
Section~\ref{sec:background} provides background and reviews
related literature. Section~\ref{sec:data} describes our data
and empirical strategy. Section~\ref{sec:results} presents our
main findings. Section~\ref{sec:robustness} discusses robustness
checks. Section~\ref{sec:conclusion} concludes.Example Output: Results Section Template
\section{Results}
\label{sec:results}
% Lead with the main finding
Table~\ref{tab:main} presents our main results. Column (1) shows
the baseline OLS specification without controls. The coefficient
on [TREATMENT VARIABLE] is [POINT ESTIMATE] (s.e. = [SE]),
statistically significant at the [1/5/10] percent level.
% Add controls incrementally
In column (2), we add [CONTROL SET 1]. The point estimate
[increases/decreases slightly/remains stable] to [ESTIMATE].
Column (3) includes [CONTROL SET 2] and adds [FIXED EFFECTS].
Our preferred specification in column (4) includes [FULL CONTROLS]
and yields [FINAL ESTIMATE].
% Interpret magnitude
To gauge economic significance, note that [INTERPRETATION].
A one standard deviation increase in [X] is associated with
a [Y] percent [increase/decrease] in [OUTCOME], or roughly
[COMPARISON TO MEAN/OTHER BENCHMARK].
% Brief mention of mechanisms/heterogeneity if relevant
Table~\ref{tab:hetero} explores heterogeneity by [DIMENSION].
We find that the effect is [larger/concentrated among]
[SUBGROUP], suggesting that [INTERPRETATION].
\begin{table}[htbp]
\centering
\caption{Main Results: Effect of X on Y}
\label{tab:main}
\begin{tabular}{lcccc}
\hline\hline
& (1) & (2) & (3) & (4) \\
& OLS & + Controls & + FE & Preferred \\
\hline
Treatment & 0.052*** & 0.048*** & 0.041** & 0.039** \\
& (0.012) & (0.011) & (0.015) & (0.016) \\
\\
Controls & No & Yes & Yes & Yes \\
Fixed Effects & No & No & Yes & Yes \\
Cluster SE & No & No & No & Yes \\
\\
Observations & 10,000 & 9,850 & 9,850 & 9,850 \\
R-squared & 0.05 & 0.12 & 0.35 & 0.35 \\
\hline\hline
\multicolumn{5}{l}{\footnotesize Notes: * p<0.10, ** p<0.05, *** p<0.01.} \\
\multicolumn{5}{l}{\footnotesize Standard errors in parentheses.} \\
\end{tabular}
\end{table}Example Output: Conclusion Template
\section{Conclusion}
\label{sec:conclusion}
% Restate question and answer
This paper examined [RESEARCH QUESTION]. Using [METHOD/DATA],
we found that [MAIN FINDING]. This result is robust to
[ROBUSTNESS CHECKS].
% Implications
Our findings have several implications. For policy, they suggest
that [POLICY IMPLICATION]. For theory, they provide support for
[THEORETICAL MECHANISM] and challenge [ALTERNATIVE VIEW].
% Limitations (brief, honest)
Several limitations warrant mention. First, [LIMITATION 1:
e.g., external validity]. Second, [LIMITATION 2: e.g.,
data constraints]. Future research could address these by
[SUGGESTION].
% Future directions
This paper opens several avenues for future work.
[DIRECTION 1]. [DIRECTION 2]. We hope our findings
stimulate further research on [BROADER TOPIC].Writing Tips
For Introductions
- First sentence should grab attention - not "This paper examines..."
- State your contribution clearly - what's new about this paper?
- Be specific about magnitudes - don't just say "large effect"
- Acknowledge limitations preemptively in the last paragraph
For Results
- Lead with numbers - put the coefficient in the first sentence
- Interpret economically - what does a 0.05 coefficient mean?
- Guide the reader through tables column by column
- Don't oversell - distinguish statistical from economic significance
For Conclusions
- Don't introduce new results - synthesize what you've shown
- Be honest about limitations - reviewers will find them anyway
- End on the contribution - remind readers why this matters
Common Pitfalls
- ❌ Burying the main result in the middle of the paper
- ❌ Using "significant" without specifying statistical or economic
- ❌ Over-claiming causality without proper identification
- ❌ Literature review that's just a list of papers
- ❌ Conclusion that's just a summary
References
- Cochrane (2005) Writing Tips for PhD Students
- Shapiro (2019) How to Give an Applied Micro Talk
- Thomson (2011) A Guide for the Young Economist
Changelog
v1.0.0
- Initial release with introduction, results, and conclusion templates
Academic Paper Writer
Purpose
This skill helps economists draft, structure, and polish academic papers with proper conventions for economics journals. It provides templates for different paper types and guidance on academic writing style.
When to Use
- Starting a new research paper from scratch
- Restructuring an existing draft
- Writing specific sections (introduction, literature review, conclusion)
- Preparing papers for journal submission
Instructions
Step 1: Identify Paper Type
Ask the user: 1. Is this empirical or theoretical? 2. What is the target journal/audience? 3. What stage is the paper at? (outline, first draft, revision) 4. What sections need help?
Step 2: Follow the IMRAD Structure
For empirical papers, use: 1. Introduction - Motivation, research question, contribution 2. Literature Review - Related work and positioning 3. Data & Methods - Sources, sample, empirical strategy 4. Results - Main findings with tables/figures 5. Discussion - Interpretation, mechanisms, limitations 6. Conclusion - Summary and implications
Step 3: Apply Economics Writing Conventions
- First paragraph should state the research question and main finding
- Use present tense for established facts, past tense for your findings
- Be precise with causal language (effect vs. association)
- Cite heavily in the literature review
- Lead with results in the results section
Example Output: Introduction Template
\section{Introduction}
% Hook - Why does this matter?
[TOPIC] is a fundamental question in economics, with implications for
[POLICY AREA] and [BROADER RELEVANCE]. Despite extensive research,
we still lack clear evidence on [SPECIFIC GAP].
% Research question
This paper asks: [RESEARCH QUESTION IN PLAIN LANGUAGE]?
Specifically, we examine whether [PRECISE FORMULATION OF THE QUESTION].
% Preview of answer
We find that [MAIN RESULT IN ONE SENTENCE]. This effect is
[economically significant / modest / heterogeneous], with
[QUANTITATIVE SUMMARY: e.g., "a one standard deviation increase
in X associated with a Y percent increase in Z"].
% Methodology (brief)
To identify this effect, we exploit [IDENTIFICATION STRATEGY:
natural experiment / RCT / instrumental variable / RDD].
Our data come from [DATA SOURCE], covering [TIME PERIOD]
and [SAMPLE SIZE] observations.
% Contribution / Related literature
Our paper contributes to several strands of literature.
First, we extend the work of \citet{Author2020} by [EXTENSION].
Second, we provide new evidence on [MECHANISM/CHANNEL] that
complements \citet{OtherAuthor2019}. Finally, our findings
have implications for [POLICY/FUTURE RESEARCH].
% Roadmap
The remainder of the paper is organized as follows.
Section~\ref{sec:background} provides background and reviews
related literature. Section~\ref{sec:data} describes our data
and empirical strategy. Section~\ref{sec:results} presents our
main findings. Section~\ref{sec:robustness} discusses robustness
checks. Section~\ref{sec:conclusion} concludes.Example Output: Results Section Template
\section{Results}
\label{sec:results}
% Lead with the main finding
Table~\ref{tab:main} presents our main results. Column (1) shows
the baseline OLS specification without controls. The coefficient
on [TREATMENT VARIABLE] is [POINT ESTIMATE] (s.e. = [SE]),
statistically significant at the [1/5/10] percent level.
% Add controls incrementally
In column (2), we add [CONTROL SET 1]. The point estimate
[increases/decreases slightly/remains stable] to [ESTIMATE].
Column (3) includes [CONTROL SET 2] and adds [FIXED EFFECTS].
Our preferred specification in column (4) includes [FULL CONTROLS]
and yields [FINAL ESTIMATE].
% Interpret magnitude
To gauge economic significance, note that [INTERPRETATION].
A one standard deviation increase in [X] is associated with
a [Y] percent [increase/decrease] in [OUTCOME], or roughly
[COMPARISON TO MEAN/OTHER BENCHMARK].
% Brief mention of mechanisms/heterogeneity if relevant
Table~\ref{tab:hetero} explores heterogeneity by [DIMENSION].
We find that the effect is [larger/concentrated among]
[SUBGROUP], suggesting that [INTERPRETATION].
\begin{table}[htbp]
\centering
\caption{Main Results: Effect of X on Y}
\label{tab:main}
\begin{tabular}{lcccc}
\hline\hline
& (1) & (2) & (3) & (4) \\
& OLS & + Controls & + FE & Preferred \\
\hline
Treatment & 0.052*** & 0.048*** & 0.041** & 0.039** \\
& (0.012) & (0.011) & (0.015) & (0.016) \\
\\
Controls & No & Yes & Yes & Yes \\
Fixed Effects & No & No & Yes & Yes \\
Cluster SE & No & No & No & Yes \\
\\
Observations & 10,000 & 9,850 & 9,850 & 9,850 \\
R-squared & 0.05 & 0.12 & 0.35 & 0.35 \\
\hline\hline
\multicolumn{5}{l}{\footnotesize Notes: * p<0.10, ** p<0.05, *** p<0.01.} \\
\multicolumn{5}{l}{\footnotesize Standard errors in parentheses.} \\
\end{tabular}
\end{table}Example Output: Conclusion Template
\section{Conclusion}
\label{sec:conclusion}
% Restate question and answer
This paper examined [RESEARCH QUESTION]. Using [METHOD/DATA],
we found that [MAIN FINDING]. This result is robust to
[ROBUSTNESS CHECKS].
% Implications
Our findings have several implications. For policy, they suggest
that [POLICY IMPLICATION]. For theory, they provide support for
[THEORETICAL MECHANISM] and challenge [ALTERNATIVE VIEW].
% Limitations (brief, honest)
Several limitations warrant mention. First, [LIMITATION 1:
e.g., external validity]. Second, [LIMITATION 2: e.g.,
data constraints]. Future research could address these by
[SUGGESTION].
% Future directions
This paper opens several avenues for future work.
[DIRECTION 1]. [DIRECTION 2]. We hope our findings
stimulate further research on [BROADER TOPIC].Writing Tips
For Introductions
- First sentence should grab attention - not "This paper examines..."
- State your contribution clearly - what's new about this paper?
- Be specific about magnitudes - don't just say "large effect"
- Acknowledge limitations preemptively in the last paragraph
For Results
- Lead with numbers - put the coefficient in the first sentence
- Interpret economically - what does a 0.05 coefficient mean?
- Guide the reader through tables column by column
- Don't oversell - distinguish statistical from economic significance
For Conclusions
- Don't introduce new results - synthesize what you've shown
- Be honest about limitations - reviewers will find them anyway
- End on the contribution - remind readers why this matters
Common Pitfalls
- ❌ Burying the main result in the middle of the paper
- ❌ Using "significant" without specifying statistical or economic
- ❌ Over-claiming causality without proper identification
- ❌ Literature review that's just a list of papers
- ❌ Conclusion that's just a summary
References
- Cochrane (2005) Writing Tips for PhD Students
- Shapiro (2019) How to Give an Applied Micro Talk
- Thomson (2011) A Guide for the Young Economist
Changelog
v1.0.0
- Initial release with introduction, results, and conclusion templates
Related skills
Lark DocGenerate, update, and maintain structured documentation directly inside Lark/Feishu using natural language and agentic workflows.494kLark DriveLet their coding agents read, create, update and search documents stored in Lark (Feishu) Drive directly from prompts.493kLark SheetsConnect Claude, Cursor or other agents directly to Feishu/Lark spreadsheets for live data reads, writes, and structured automation.493kLark WikiGenerate, update, and sync structured knowledge bases inside Lark (Feishu) directly from code, specs, or agent output.493kLark WhiteboardGenerate, edit, and collaborate on visual diagrams and flowcharts directly inside Claude, Cursor or other agents.493kLark SlidesInstantly generate polished, professional slide decks from specs, roadmaps, or meeting notes using Lark/Feishu.493kFAQ
What type of paper does academic-paper-writer produce?
academic-paper-writer produces economics journal-style manuscripts with standard sections, citation placeholders, and econometric narrative suited for turning quantitative analysis into submission drafts.
Does academic-paper-writer replace econometric analysis?
academic-paper-writer drafts manuscript prose from existing analysis. Developers should complete econometric work first, then use the skill to structure results into journal-ready sections and citation placeholders.