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

Mgsci Tables Figures

ASecurity

Use when building exhibits for a Management Science (INFORMS) manuscript — propositions and numerical-illustration figures for analytical papers, or result/identification tables and effect plots for empirical papers — keeping notation clean, exhibits self-contained, and the page budget tight for the invited-revision limit. It builds exhibits; it does not run the analysis (mgsci-data-analysis).

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

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

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

Installs into .claude/skills of the current project.

Are you the author of Mgsci Tables Figures?

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

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

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

Download with Pro
Files
SKILL.md
---
name: mgsci-tables-figures
description: Use when building exhibits for a Management Science (INFORMS) manuscript — propositions and numerical-illustration figures for analytical papers, or result/identification tables and effect plots for empirical papers — keeping notation clean, exhibits self-contained, and the page budget tight for the invited-revision limit. It builds exhibits; it does not run the analysis (mgsci-data-analysis).
---

# Tables & Figures (mgsci-tables-figures)

## When to trigger

- Exhibits are cluttered, notation-heavy, or not self-explanatory
- A reviewer cannot read a result off a table/figure without hunting the text
- You are over the page budget and exhibits are bloated
- You need to present proofs/comparative statics or estimates in house style

Management Science prefers **short, focused** papers and warns that excessive length and **notation density slow review**. Every exhibit should earn its space and stand on its own.

## Analytical lane

- **Propositions/theorems** are numbered and stated cleanly in the text; defer long proofs to the appendix (which does **not** count toward the invited-revision page limit).
- **Comparative-statics figures** are where the managerial insight becomes visible — plot the optimal policy / equilibrium quantity against the key primitive, with axes, parameter values, and the takeaway labeled.
- **Notation tables** (a symbol glossary) help when the model is symbol-heavy; keep notation minimal and consistent throughout.
- Numerical-example tables should report the parameter ranges and confirm the qualitative result holds across them.

## Empirical lane

- **Descriptives / correlation table** with clear variable definitions.
- **Main results table:** coefficients with standard errors, the clustering noted, sample size, and fit; mark significance consistently.
- **Identification exhibits:** event-study plots, parallel-trends checks, first-stage strength, RDD continuity plots — the design's credibility shown, not just asserted.
- **Effect plots:** interaction/marginal-effect plots so the magnitude is readable; report practical magnitude, not only stars.

## House style and self-containment

- Use **author-year** style consistently in notes and captions.
- Each table/figure has a number, a descriptive title, and a note defining every symbol, abbreviation, and the SE/clustering — readable without the body text.
- Keep formatting to the journal's exhibit conventions; verify against current submission guidelines.

## Page budget discipline

Invited revisions must fit within **47 pages double-spaced (25 lines/page)** or **32 pages at 1.5 spacing (33 lines/page)**, 11-pt font, 1-inch margins — the **online appendix is excluded**. Move long proofs, secondary robustness tables, and extended derivations to the online appendix so the main exhibits stay essential.

## Anti-patterns

- A wall of nested notation no glossary explains.
- A results table the reader cannot interpret without the text.
- Interaction effects reported only as coefficients, never plotted.
- Padding the counted main body with exhibits that belong in the online appendix.

## Output format

```
【Lane】analytical / empirical
【Core exhibits】[list, each self-contained]
【Notation/definitions】glossary + table notes complete: yes/no
【Identification/comparative-statics shown】yes/no
【Page budget】main body within invited-revision limit; appendix offloaded: yes/no
【Next step】mgsci-writing-style
```

Attribution

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

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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', ...

686011 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 →