mcpbeat

Paper Review

aspi6246/paper-review

> Produce a structured summary of an academic working paper or published article. Use this skill when the user shares a paper, asks to summarise a paper, says "what's this paper about", "review this paper", "summarise this for me", or provides a PDF/link to an academic article.

540 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
146
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/aspi6246/Claude-Code-Skills-for-Academics --skill paper-review

The instruction itself

9 sections, as written by the author

Structured Paper Review

When reviewing an academic paper, produce a structured summary covering

every section below. Be specific and precise — name the actual variables,

datasets, and methods used. Do not be vague.

1. One-sentence summary

A single sentence capturing the paper's core claim and finding.

Format: "[Authors] show that [X causes/predicts Y] using [method] on [data]."

2. Research question

What specific question does the paper answer? State it as a question.

3. Why it matters

What is the economic or policy significance? Why should a reader care?

Who are the stakeholders affected? Connect it to broader debates in the

literature if possible.

4. Identification strategy

This is the most important section. Be precise:

  • What is the empirical method? (DiD, IV, RDD, event study, structural, etc.)
  • What is the source of exogenous variation?
  • What is the treatment and what is the control?
  • What fixed effects are used and why?
  • How are standard errors clustered?
  • For IV: what is the instrument and what is the exclusion restriction argument?
  • For DiD: what is the parallel trends argument?

5. Data

  • What datasets are used? (Name them: Compustat, CRSP, Census, etc.)
  • What is the unit of observation?
  • What is the sample period?
  • What is the sample size?
  • Any notable sample selection or filters?

6. Key findings

The 2-3 main results. Report actual magnitudes where possible

(coefficients, percentage effects), not just "positive and significant."

7. Robustness and threats

  • What robustness checks do the authors run?
  • What are the main threats to identification?
  • Are there concerns the authors don't address?

8. Key references to follow up

List 2-3 cited papers that seem important for understanding the

contribution or that are worth reading independently.

How to use it

Copy the folder

Take aspi6246/paper-review from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.