A skill your agent uses when compressing The Econometrics Journal (EctJ) tables, figures, Monte Carlo displays, empirical-application exhibits, theorem summaries, and appendix references under a…

MITAuto-check passedResearch & Science

Install Ectj Tables Figures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ectj-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-Econometrics-Journal-Skills/skills/ectj-tables-figures .claude/skills/ectj-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
ectj-tables-figures
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
689 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when compressing The Econometrics Journal (EctJ) tables, figures, Monte Carlo displays, empirical-application exhibits, theorem summaries, and appendix references under a…

  • Works in 3 steps: One size-and-coverage table at n in… → One power figure overlaying the new test… → One application exhibit showing the…
  • Compressing The Econometrics Journal (EctJ) tables
  • SKILL.md covers Exhibit rules, Exhibit budget, Main-text compression rule and Monte Carlo display…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ectj Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when compressing The Econometrics Journal (EctJ) tables, figures, Monte Carlo displays, empirical-application exhibits, theorem summaries, and appendix references under a roughly 20-page printed-paper constraint.

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, covering Econometrics and empirical research. 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

  • Compressing The Econometrics Journal (EctJ) tables
  • Monte Carlo displays
  • Empirical-application exhibits
  • Theorem summaries

Example prompts

  • “/ectj-tables-figures”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. One size-and-coverage table at n in {250, 1000} with the nominal 5% level in the header,
  2. One power figure overlaying the new test and the incumbent at the calibrated design.
  3. One application exhibit showing the decision that changes (illustrative: the incumbent rejects

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

Ectj Tables Figures loads about 1.4k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 689 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
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). 689 words, ~1,428 tokens.

Download SKILL.mdSave it as .claude/skills/ectj-tables-figures/SKILL.md (or your agent's skills folder).
name
ectj-tables-figures
description
Use when compressing The Econometrics Journal (EctJ) tables, figures, Monte Carlo displays, empirical-application exhibits, theorem summaries, and appendix references under a roughly 20-page printed-paper constraint.

EctJ Tables And Figures

Use this when exhibits are doing too little work or consuming too much space.

Exhibit rules

  • Every main-text exhibit must support the leading case, the empirical application, or a decisive simulation diagnostic.
  • Use compact simulation panels rather than long grids of redundant parameter settings.
  • Put implementation details and expanded robustness tables in the online supplement, while keeping proof-critical or application-critical results in the printed paper or printed appendix.
  • Use self-contained notes: sample, estimator, tuning, uncertainty, and units should be legible without hunting through the appendix.
  • Prefer figures for estimator behavior, coverage, bias, RMSE, or power curves when patterns matter more than exact cells.

Exhibit budget

Assign every main-text exhibit to exactly one job:

  • Theorem consequence: makes a limiting result or approximation behavior visible.
  • Monte Carlo stress test: shows size, power, bias, RMSE, coverage, or computation under the most revealing boundary cases.
  • Applied-value proof: shows the empirical conclusion, decision, or interval that changes relative to incumbents.
  • Diagnostic safeguard: documents tuning, convergence, weak identification, or failure regions.

Delete or move exhibits whose only job is "more robustness." EctJ rewards a compact leading case; a long grid that does not change interpretation weakens the paper.

Main-text compression rule

Limit the main paper to one exhibit per claim:

  • one theorem-consequence or estimator-behavior display;
  • one simulation table/figure that isolates the boundary case;
  • one empirical-application exhibit that proves use value;
  • one appendix pointer for full grids.

If two exhibits make the same reader update, merge them or move the weaker one to the supplement.

Monte Carlo display conventions referees check first

  • Size tables report the nominal level explicitly and show null rejection rates across all sample sizes; an entry like 0.063 only reads as distortion when 0.05 sits in the header.
  • Coverage tables pair coverage with median interval length; coverage alone hides the trivial wide-interval fix.
  • Power is a figure, not a table: curves against the incumbent under drifting alternatives, with the size-adjusted variant in the supplement if size distortion exists.
  • Every simulation exhibit names replications, sample sizes, and the DGP label in its note; the RES one-page main-text norm for simulation summaries makes self-contained notes mandatory because design details live elsewhere.
  • Bias and RMSE share one panel with the strongest competitor, not a simplified strawman.
Show full SKILL.md (315 more words)Show less

Worked compression pass

Illustrative vignette: a draft carries nine simulation exhibits — size at three sample sizes, power at three alternatives, and three tuning grids. The EctJ-shaped result is three exhibits:

  1. One size-and-coverage table at n in {250, 1000} with the nominal 5% level in the header, covering the calibrated DGP and the boundary DGP.
  2. One power figure overlaying the new test and the incumbent at the calibrated design.
  3. One application exhibit showing the decision that changes (illustrative: the incumbent rejects correct specification for 14 of 60 industries, the new test for 4).

The six tuning and secondary-grid panels move to the online appendix with one forward reference. Reader updates lost: none. Printed pages recovered: roughly two — often the difference between conforming and not.

Theorem-adjacent exhibits

  • A schematic figure of the identification argument or estimator pipeline can replace half a page of prose, but only when the geometry, ordering, or data flow is genuinely hard to verbalize.
  • Numerical illustrations of a limiting approximation (illustrative: the density of the standardized statistic at n=250 against its normal limit) earn main-text space when they preempt the finite-sample objection EctJ referees raise against unpaired asymptotics.
  • An assumption-by-scenario validity table (which conditions hold in which application class) works well in the printed appendix as a scope map for the leading case.
  • Whatever the exhibit, the printed-page bill is the binding constraint: each candidate must beat the paragraph it replaces.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. The Econometrics Journal is a methods venue — estimator validity + simulation; pair estimates with diagnostics.

  • 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.

Output format

text
[Exhibit diagnosis] keep / compress / move / delete
[Main-text role] <theory, simulation, or application>
[Reader takeaway] <one sentence>
[Compression action] <merge panels, move appendix, simplify notes>
[Missing note detail] <sample, metric, seed, units, or method>

© 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-Econometrics-Journal-Skills/skills/ectj-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Ectj Tables Figures next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ectj Tables Figures compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ectj Tables Figures this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
Statadylantmoore/stata-skill2911 repos~4.2kAutomated safety check: PassCustom licence
Stata C Pluginsdylantmoore/stata-skill2911 repos~5.8kAutomated safety check: PassCustom licence
Example Datasetspymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0
Stata AuditSepineTam/mcp-for-stata264—~1.2kAutomated safety check: PassAGPL-3.0
Stata Skill Contributordylantmoore/stata-skill2911 repos~2.4kAutomated safety check: PassCustom licence

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Questions about Ectj Tables Figures

What does Ectj Tables Figures do?

A skill your agent uses when compressing The Econometrics Journal (EctJ) tables, figures, Monte Carlo displays, empirical-application exhibits, theorem summaries, and appendix references under a…. Ectj Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when compressing The Econometrics Journal (EctJ) tables, figures, Monte Carlo displays, empirical-application exhibits, theorem summaries, and appendix references under a roughly 20-page printed-paper constraint.

When should I use Ectj Tables Figures?

Ectj Tables Figures fits situations like: compressing The Econometrics Journal (EctJ) tables; monte Carlo displays; empirical-application exhibits; theorem summaries.

How do I install Ectj Tables Figures in Claude Code?

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

How do I install Ectj Tables Figures in Codex?

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

Can I use Ectj 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 ectj-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/ectj-tables-figures, .gemini/skills/ectj-tables-figures, .github/skills/ectj-tables-figures and .opencode/skills/ectj-tables-figures in your project.

What does Ectj Tables Figures need to run?

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

Does Ectj 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 Ectj 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 Ectj Tables Figures use?

Ectj 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 Ectj Tables Figures use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 Ectj Tables Figures?

Skills that share tags, products or a category with Ectj Tables Figures: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ectj 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.