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

Aerj Tables Figures

ASecurity

Use when building tables and figures for an American Educational Research Journal (AERJ) manuscript. Exhibits must be self-contained, accessible, and formatted to APA 7th edition, and they must be anonymized for masked review. Improves exhibits; it does not generate data.

1,052 stars
0 votes
0 copies
0 views
Added 6/4/2026
ai-agentsgit

Security Analysis

A100/100

Scanned 6/4/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-tables-figures --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Aerj Tables Figures?

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

Security grade badge for Aerj Tables Figures
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-aerj-tables-figures/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-aerj-tables-figures)

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

Download with Pro
Files
SKILL.md
---
name: aerj-tables-figures
description: Use when building tables and figures for an American Educational Research Journal (AERJ) manuscript. Exhibits must be self-contained, accessible, and formatted to APA 7th edition, and they must be anonymized for masked review. Improves exhibits; it does not generate data.
---

# Tables & Figures (aerj-tables-figures)

In AERJ, a reader should grasp each exhibit **without hunting through the text**, and every exhibit must
follow **APA 7th-edition** table/figure conventions. Because review is **masked**, exhibits must carry
no identifying clues (institution names, data-source giveaways in titles).

## When to trigger

- Designing tables/figures or revising them after analysis
- A reviewer found an exhibit unreadable, mislabeled, or non-APA
- Preparing exhibits for a masked submission (no identifying content)
- Deciding what belongs in the body vs an appendix

## Principles

1. **Self-contained.** Title states what the exhibit shows; notes define every abbreviation, the
   sample/N, the units, and significance/probability conventions. A reader should not need the text.
2. **APA 7th-edition format.** Table number + italic title; horizontal rules only (no vertical rules);
   figure number + title; a general note, then specific notes, then probability notes.
3. **Report estimates with uncertainty.** Coefficients with SEs/CIs; for multilevel models, label
   levels and random effects; mark the estimand, not just stars.
4. **Figures earn their place.** Use a figure when it shows something a table cannot (trajectories,
   interactions, distributions, RD/event-study, joint displays for mixed methods). Otherwise use a table.
5. **Accessibility.** Colorblind-safe palettes; legible in grayscale; readable at print size; vector
   output for line art.
6. **Qualitative exhibits.** Coding trees, thematic maps, and evidence tables (theme → exemplar
   quotation) are legitimate exhibits — anonymize participants and sites.
7. **Match the package.** Exhibit numbers/values must match the analysis output and the deposited
   materials (see `aerj-transparency-and-data-policy`).

## Anti-patterns

- Tables readable only with the surrounding paragraph
- Vertical rules, inconsistent decimals, undefined abbreviations (non-APA)
- Stars without effect sizes or intervals; no N or units
- Rainbow palettes that fail in grayscale or for colorblind readers
- Identifying clues in titles/notes that break masking
- Exhibit values that drift from the replication package

## Output format

```
【Exhibit】table / figure — one-line purpose
【Self-contained?】title + notes define N, units, abbreviations, significance [Y/N]
【APA 7th format】[Y/N]
【Uncertainty shown】SE/CI + estimand labeled [Y/N]
【Accessible】colorblind-safe + grayscale-legible [Y/N]
【Masked】no identifying clues [Y/N]
【Next】aerj-writing-style
```

## Supplementary resources

- [`../../resources/external_tools.md`](../../resources/external_tools.md) — plotting/exhibit tooling and APA table helpers
- [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — APA style and masked-review requirements

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".

1074701 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 →