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- Nealcaren
- Social Data Analysis
- Peer Reviewer
peer-reviewer_skill
14
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill nealcaren/social-data-analysis --skill peer-reviewer- SKILL.md12.0 KB
Overview
This skill simulates peer review by constructing 2–3 reviewer personas grounded in full texts from your Zotero library and producing focused, actionable reviews. It identifies relevant theoretical or methodological perspectives, retrieves and reads source materials, builds persona profiles, and generates targeted reviews of theory, methods, and findings. The goal is to help authors strengthen manuscripts before submission through grounded, constructive feedback.
How this skill works
The skill reads your manuscript and proposes 2–3 reviewer perspectives named for theoretical or methodological lenses (never individual people). It queries your connected Zotero library to retrieve foundational and recent works for each perspective, synthesizes core commitments, and builds persona profiles. Each persona then produces a focused review (strengths, major/minor concerns, representation check, and concrete recommendations), and the tool synthesizes convergent feedback into a prioritized revision strategy.
When to use it
- Preparing a manuscript for journal submission and wanting anticipatory critique
- Testing how well you represent competing theories or schools of thought
- Checking methodological rigor and analytic validity before peer review
- Identifying blind spots in argumentation or literature engagement
- Practicing responses to likely reviewer concerns
Best practices
- Connect and curate a Zotero collection with full texts relevant to your manuscript before running the skill
- Provide complete drafts or at least theory/methods/findings sections for the most useful reviews
- Approve proposed perspectives and retrieved sources so personas reflect your expectations
- Limit reviewer set to 2–3 perspectives for depth over breadth
- Use the synthesis memo to prioritize fixes into quick, minor, and major revisions
Example use cases
- Simulate a theoretical critique from a competing framework to test robustness of your interpretation
- Have a methodological-perspective persona audit your research design and analytic choices
- Obtain a findings-focused review that challenges claims and suggests additional robustness checks
- Produce a prioritized synthesis memo and draft responses to anticipated reviewer comments
- Iteratively revise sections and re-run personas to verify that concerns were addressed
FAQ
Quality depends on having relevant, full-text sources in your Zotero library. Richer, targeted collections produce more accurate personas and deeper critiques.
Will personas be named after real scholars?
No. Personas are named for theoretical or methodological perspectives (e.g., "Cultural Capital in Education") to avoid simulating specific individuals.
Can I control which perspectives are used?
Yes. The workflow pauses after intake and after retrieval so you can confirm, modify, or add perspectives and sources.