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

Car Tables Figures

ASecurity

Use when building the exhibits of a Contemporary Accounting Research (CAR) manuscript — descriptive/correlation/results tables for archival work, experimental cell-means and ANOVA tables, model figures, and appendices — formatted to the CAR Style Guide (each exhibit on a new page, variable definitions, footnotes not endnotes). Builds exhibits; it does not run the analysis (car-data-analysis).

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

Works with

api

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

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

Installs into .claude/skills of the current project.

Are you the author of Car Tables Figures?

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

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

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

Download with Pro
Files
SKILL.md
---
name: car-tables-figures
description: Use when building the exhibits of a Contemporary Accounting Research (CAR) manuscript — descriptive/correlation/results tables for archival work, experimental cell-means and ANOVA tables, model figures, and appendices — formatted to the CAR Style Guide (each exhibit on a new page, variable definitions, footnotes not endnotes). Builds exhibits; it does not run the analysis (car-data-analysis).
---

# Tables & Figures (car-tables-figures)

## When to trigger

- Exhibits are cluttered, not self-contained, or off CAR house style
- A variable-definitions appendix is missing (an archival reviewer staple)
- Experimental results lack a clean cell-means / contrast table
- You are paginating exhibits for the 50-page limit and online appendix

## CAR Style Guide exhibit rules

CAR's format rules (author guidelines + CAR Style Guide) govern exhibits directly:

- **Each exhibit (appendix, table, figure) begins on a new page.**
- In-text notes are **footnotes, not endnotes**; tables use table notes to define every variable, sample, and significance convention.
- Pages are numbered sequentially after the abstract page; the manuscript itself is **blind** (no author identifiers in exhibit titles, file names, or footnotes).
- The main text is held to **30 pages** within a **50-page overall** limit; push large or supplementary exhibits into the **online-only supplementary appendix** rather than padding the main body.
- LaTeX authors may use Wiley's New Journal Design (NJD) template for accepted papers; confirm exact table/figure formatting against the current CAR Style Guide.

## Build exhibits the reviewers expect, by tradition

- **Archival / capital-markets.** Provide (1) a **variable-definitions appendix** with exact construction and data sources — this is mandatory in spirit under the Data Integrity policy; (2) a descriptive-statistics table (N, mean, median, SD, key percentiles), noting winsorizing/truncating; (3) a correlation table (Pearson/Spearman); (4) results tables with coefficients, standard errors (clustered), and the SE-clustering and fixed-effects structure stated in the notes. Report economic magnitude, not just stars.
- **Experimental.** Provide a cell-means table (means, SDs, n per condition), the ANOVA/contrast table, and manipulation-check results; a figure of the predicted interaction aids interpretation.
- **Analytical.** Present propositions/results cleanly; figures should illustrate comparative statics or equilibrium regions, with parameter assumptions noted.

## Self-containment

Every exhibit must be readable without the text: title, sample/period, variable definitions, units, and the meaning of each significance marker all appear in the notes.

## Checklist

- [ ] Each exhibit starts on a new page; footnotes (not endnotes) used throughout
- [ ] Variable-definitions appendix present (archival) with sources and construction
- [ ] Descriptive, correlation, and results tables report clustered SEs and FE structure
- [ ] Experimental cell-means, ANOVA/contrasts, and manipulation checks tabulated
- [ ] Economic magnitudes (not only significance) reported
- [ ] Exhibits blind; supplementary material routed to the online-only appendix
- [ ] Numbers reconcile exactly with the code repository and the text

## Anti-patterns

- **Stars without magnitudes**; **endnotes** where CAR requires footnotes.
- **Undefined variables** or a missing definitions appendix.
- **Author identifiers** leaking into exhibit titles or file names.
- **Padding the main body** past 30/50 pages instead of using the online appendix.

## Output format

```
【Exhibit list】tables/figures/appendices; each on a new page?
【Variable definitions】appendix present, sources/construction stated?
【Results table】clustered SEs, FE structure, magnitudes shown?
【Experiment】cell means / ANOVA / manipulation checks tabulated?
【Style】footnotes (not endnotes), blind, page budget (30/50) ...
【Next step】car-writing-style
```

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.

651 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 →