Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Demog Review Process

ASecurity

Use to understand how Demography (PAA / Duke University Press) evaluates a manuscript — double-blind review, pre-review/desk screening by the Editor or a Deputy Editor, the role of topic-area Deputy Editors, and the grounds for desk rejection (inappropriate fit or unlikely to receive favorable reviews). Sets expectations and shapes the paper to survive review; it does not contact editors.

1,052 stars
0 votes
0 copies
1 views
Added 6/5/2026
ai-agentsgo

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill demog-review-process --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Demog Review Process?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Demog Review Process
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-demog-review-process/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-demog-review-process)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: demog-review-process
description: Use to understand how Demography (PAA / Duke University Press) evaluates a manuscript — double-blind review, pre-review/desk screening by the Editor or a Deputy Editor, the role of topic-area Deputy Editors, and the grounds for desk rejection (inappropriate fit or unlikely to receive favorable reviews). Sets expectations and shapes the paper to survive review; it does not contact editors.
---

# Review Process (demog-review-process)

Knowing how Demography screens and decides lets you pre-empt the failure modes before submitting.
Demography is **double-blind** and runs a **pre-review** with the Editor or a Deputy Editor before
external review.

## When to trigger

- Before submitting, to stress-test against desk-rejection grounds
- Interpreting a decision letter and setting expectations
- Understanding the role of topic-area Deputy Editors
- Deciding how to anonymize and how to frame general interest

## How Demography review works

1. **Double-blind.** Authors are **not** told reviewer names and reviewers are **not** told author
   names. Avoid self-identifying references so anonymity holds (see `demog-submission`).
2. **Pre-review / desk screening first.** Every manuscript passes a pre-review with the **Editor or an
   assigned Deputy Editor**. It is first checked for **compliance** with word and table/figure limits,
   then assessed for suitability. A paper may be **desk-rejected** when it is **(1) inappropriate for
   Demography** or **(2) unlikely to receive favorable evaluations from external reviewers**. Desk
   rejections usually occur within the first few weeks.
3. **Topic-area Deputy Editors.** Deputy Editors who **specialize in the major areas of demography**
   help select expert reviewers, synthesize the reviews, and make a recommendation to the Editor.
4. **External review.** Manuscripts passing the desk go to expert demographer reviewers.
5. **Decision and revision.** Standard scholarly outcomes (reject / revise-and-resubmit / accept);
   confirm the exact categories and any timelines on the official page (see 待核实).

## Shape the paper to pass

- Make **general interest to demographers** explicit (avoids the "inappropriate for Demography" desk
  rejection) — see `demog-topic-selection` and `demog-literature-positioning`.
- Meet the **word and table/figure limits** before submitting (the pre-review checks compliance first).
- Get the **demographic method right** (rates, exposure, identification) so expert reviewers see rigor.
- Anticipate the strongest rival demographic explanation and answer it in the design.

## Anti-patterns

- Submitting a paper that uses demographic data but asks no population question (fit desk rejection)
- Exceeding the word or table/figure limits (caught at the compliance pre-review)
- Leaving self-identifying references that compromise double-blind review
- Expecting external review for a paper unlikely to earn favorable reviews — that is a desk-reject ground

## Output format

```
【Fit check】is it appropriate for Demography (a population question of general interest)? [Y/N]
【Compliance】word + table/figure limits met for the chosen type? [Y/N]
【Method rigor】rates/exposure/identification defensible to expert reviewers? [Y/N]
【Anonymity】no self-identifying references? [Y/N]
【Realistic outcome】desk-reject / R&R / (rare) accept
【Next】demog-submission (or demog-rebuttal if decided)
```

## Supplementary resources

- [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — review-process page (double-blind, pre-review, desk rejection, Deputy Editors)

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1066601 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →