A skill your agent uses when finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content, reads to a general audience, and is…

MITAuto-check passedResearch & Science

Install Ecj Tables Figures

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-tables-figures -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ecj-tables-figures --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/The-Economic-Journal-Skills/skills/ecj-tables-figures .claude/skills/ecj-tables-figures && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ecj-tables-figures
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
650 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content, reads to a general audience, and is…

  • Finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content
  • SKILL.md covers When to trigger, The EJ exhibit philosophy, Execution bridge (StatsPAI /… and Checklist, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Reads to a general audience

What it does

Ecj Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content, reads to a general audience, and is self-contained. Sets exhibit design and notes standards; it does not decide which results to report (see ecj-robustness).

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content
  • Reads to a general audience
  • Is self-contained

Example prompts

  • “/ecj-tables-figures”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ecj Tables Figures loads about 1.4k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 650 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 650 words, ~1,412 tokens.

Download SKILL.mdSave it as .claude/skills/ecj-tables-figures/SKILL.md (or your agent's skills folder).
name
ecj-tables-figures
description
Use when finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content, reads to a general audience, and is self-contained. Sets exhibit design and notes standards; it does not decide which results to report (see ecj-robustness).

Tables & Figures (ecj-tables-figures)

When to trigger

  • Tables are overloaded with columns; the reader cannot find the economic point
  • Figures are decorative rather than carrying the argument
  • Notes are thin — a reader cannot reconstruct units, sample, or specification from the exhibit alone
  • You are deciding what belongs in the main text vs. the online appendix, or working within the short-paper exhibit budget

The EJ exhibit philosophy

An EJ table or figure should be self-contained and legible to a generalist: a referee or non-specialist skimming exhibits should grasp the result, the magnitude, and what it means without hunting through the text. EJ's broad-interest, exposition-first identity makes this acute — an exhibit only your subfield can parse undersells the paper. Every exhibit must also be regenerated by the master script in the Zenodo replication deposit, so the numbers in the paper and the numbers the code produces must match exactly when the EJ Data Editor verifies them before final acceptance (see ecj-replication-package). The headline result usually deserves a figure (an event-study plot, a model-fit plot, a counterfactual) because magnitudes and dynamics read faster than a coefficient.

For a short paper (AER:Insights-style), the exhibit budget is tight (5 exhibits; verified 2026-06-20): every exhibit must earn its place; demote the rest to the online appendix.

Tables
  • Report economic magnitudes, not just stars: effect relative to the mean, an elasticity, a standardized effect, or a monetary/welfare figure.
  • One table = one idea. The main results table should fit on a page and be readable without the text.
  • Columns build an argument (baseline → +controls → preferred → alternative design), not an undifferentiated grid.
  • Standard errors in parentheses; state the clustering level in the note. Prefer reporting CIs or exact SEs over star-only inference.
  • Self-contained note: sample, period, unit of observation, dependent-variable definition, specification, SE structure, and what each column adds.
Figures
  • Use a figure to carry the main result when dynamics/magnitudes matter (event studies, dose-response, model fit, counterfactual paths).
  • Plot confidence bands, not just point estimates. Label axes with units and economic meaning.
  • Grayscale-safe and legible in print; no 3-D effects, no unnecessary gridlines.
  • Each figure's caption states what the reader should conclude economically.
Main text vs. online appendix
  • Main text: the identifying result, the mechanism evidence, the key magnitude, the headline counterfactual — typically a small number of exhibits.
  • Online appendix: the full robustness battery, descriptive tables, secondary heterogeneity, and supporting derivations.
Show full SKILL.md (259 more words)Show less

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. The Economic Journal is general-interest economics; the DiD/IV/RDD chain serves its broad applied lane.

  • Tables: etable (multi-model) or did_summary_to_latex straight from the result_id.
  • Figures: plot_from_result / enhanced_event_study_plot / event_study_table — axis units and the SE/clustering note baked in.
  • Every note names the estimator + clustering and states the magnitude in interpretable units.

See a full fitted-result → exhibit chain in the JF execution walkthrough.

Checklist

  • Headline result expressed as an economic magnitude (relative to mean / elasticity / welfare), not stars alone
  • Main results readable without the surrounding text, by a non-specialist
  • Every table note states sample, period, unit, DV definition, spec, and clustering level
  • Columns/panels build an argument rather than dumping specifications
  • At least one figure carries the main result with confidence bands
  • Figures legible in grayscale; axes labeled with units and meaning
  • Exhibit count disciplined (short paper: within the 5-exhibit budget); heavy material in the online appendix
  • Every exhibit number reproduces from the deposited code; in-text references match exactly

Anti-patterns

  • Star-only tables with no economic magnitude — a referee cannot tell if the effect matters
  • Numbers in an exhibit that the deposited code does not reproduce — fatal at EJ Data Editor verification
  • A 12-column main table that no one outside the subfield can parse
  • Figures with no confidence bands, or with chartjunk / 3-D / rainbow palettes
  • Notes too thin to reconstruct the specification
  • Reporting R² and stars but never the units of the dependent variable
  • Blowing the short-paper exhibit budget instead of using the online appendix

Output format

【Main exhibits】tables: N, figures: N (short-paper budget respected? [y/n])
【Magnitude reported】mean-relative / elasticity / welfare / standardized
【Headline figure】what it shows + has CIs? [y/n]
【Notes complete】sample/period/unit/DV/spec/clustering present? [y/n]
【Reproduces from code】numbers match deposit? [y/n]
【Main vs. appendix split】...
【Next】ecj-writing-style

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in The-Economic-Journal-Skills/skills/ecj-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Ecj Tables Figures

What does Ecj Tables Figures do?

A skill your agent uses when finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content, reads to a general audience, and is…. Ecj Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content, reads to a general audience, and is self-contained.

When should I use Ecj Tables Figures?

Ecj Tables Figures fits situations like: finalizing the main exhibits (tables and figures) of a The Economic Journal (EJ) manuscript so each one carries economic content; reads to a general audience; is self-contained.

How do I install Ecj Tables Figures in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-tables-figures -a claude-code`. Or copy the skill folder (The-Economic-Journal-Skills/skills/ecj-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ecj-tables-figures in your project. Claude Code loads it when a task matches its description.

How do I install Ecj Tables Figures in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-tables-figures -a codex`. Or copy the skill folder (The-Economic-Journal-Skills/skills/ecj-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ecj-tables-figures in your project. Codex loads it when a task matches its description.

Can I use Ecj Tables Figures in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-tables-figures -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ecj-tables-figures, .gemini/skills/ecj-tables-figures, .github/skills/ecj-tables-figures and .opencode/skills/ecj-tables-figures in your project.

What does Ecj Tables Figures need to run?

SKILL.md names no scripts, command-line tools or credentials: Ecj Tables Figures is instructions for the agent only.

Does Ecj Tables Figures access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ecj Tables Figures safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ecj Tables Figures use?

Ecj Tables Figures is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ecj Tables Figures use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ecj Tables Figures?

Skills that share tags, products or a category with Ecj Tables Figures: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ecj Tables Figures?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.