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Agent skill

Eursr Tables Figures

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when building tables and figures for a European Sociological Review (ESR) manuscript.

MITAuto-check passedResearch & Science

Install Eursr Tables Figures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-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/European-Sociological-Review-Skills/skills/eursr-tables-figures .claude/skills/eursr-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
eursr-tables-figures
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
671 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when building tables and figures for a European Sociological Review (ESR) manuscript.

  • Works in 5 steps: Self-contained. Title, row/column… → Show magnitude and uncertainty. Effect… → Comparative & longitudinal exhibits.… → …
  • Building tables and figures for a European Sociological Review (ESR) manuscript
  • SKILL.md covers When to trigger, Principles, Format and Exhibit conventions a…, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Eursr Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a European Sociological Review (ESR) manuscript. ESR excludes tables and figures from the ~8,000-word count but expects them to be clear, self-contained, and to carry magnitude and uncertainty for a comparative quantitative readership. Designs exhibits; it does not run the analysis.

Its SKILL.md is about 1.8k 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

  • Building tables and figures for a European Sociological Review (ESR) manuscript

Example prompts

  • “/eursr-tables-figures”

Workflow steps

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

  1. Self-contained. Title, row/column labels, and a complete note make each exhibit intelligible
  2. Show magnitude and uncertainty. Effect sizes and intervals — not stars alone. **Predicted-
  3. Comparative & longitudinal exhibits. Country forest plots / caterpillar plots of random effects;
  4. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk or 3D.
  5. Reproducible. Generated by the master script so numbers match the deposited replication package

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

Eursr Tables Figures loads about 1.8k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 671 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 671 words, ~1,777 tokens.

Download SKILL.mdSave it as .claude/skills/eursr-tables-figures/SKILL.md (or your agent's skills folder).
name
eursr-tables-figures
description
Use when building tables and figures for a European Sociological Review (ESR) manuscript. ESR excludes tables and figures from the ~8,000-word count but expects them to be clear, self-contained, and to carry magnitude and uncertainty for a comparative quantitative readership. Designs exhibits; it does not run the analysis.

Tables & Figures (eursr-tables-figures)

Exhibits are where a double-blind reviewer checks whether the comparative or longitudinal result is real. ESR excludes tables and figures from the ~8,000-word count (endnotes and references count) — so a clear exhibit costs nothing against length, but it must earn its place and stand on its own.

When to trigger

  • Designing the main results table/figure or a key descriptive/cross-national exhibit
  • Deciding what belongs in the article vs. the (supplementary) appendix
  • A reviewer found an exhibit unclear, mislabeled, or not self-contained
  • Presenting a cross-level interaction or country-level pattern visually

Principles

  1. Self-contained. Title, row/column labels, and a complete note make each exhibit intelligible alone. State the data source (ESS/EU-SILC/SOEP/EVS or register), sample, N (and number of countries), units, weighting, estimator, and what the estimate is.
  2. Show magnitude and uncertainty. Effect sizes and intervals — not stars alone. Predicted- probability and marginal-effects plots usually beat dense coefficient walls for a comparative reader, and coefficient/forest plots convey cross-country variation better than tables.
  3. Comparative & longitudinal exhibits. Country forest plots / caterpillar plots of random effects; interaction plots showing the cross-level moderation; mobility/transition tables; survival curves and cumulative-incidence plots for event history; growth-trajectory plots for panels.
  4. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk or 3D.
  5. Reproducible. Generated by the master script so numbers match the deposited replication package (see eursr-transparency-and-data).

Format

  • Follow OUP/ESR table and figure conventions; concise notes carrying all interpretive detail.
  • Keep identifying information out of exhibits (double-blind review).
  • Tables and figures are excluded from the ~8,000-word limit but must still be necessary and clear.

Exhibit conventions a double-blind ESR reviewer expects

Result typeWorkhorse exhibitThe note must state
Cross-national effectcountry forest/caterpillar plotdata, N, # countries, estimator
Cross-level interactionpredicted-margins interaction plotwhat is held constant, CI basis
Mobility / attainmenttransition / mobility tableorigin–destination coding, N
Event historysurvival / cumulative-incidence curverisk set, time scale, censoring
Panel / growthtrajectory plot with CIswithin vs. between, attrition handling

Worked micro-example (illustrative)

A main results table for a 24-country scarring study is redesigned for ESR.

Before: 6 columns of multilevel coefficients, stars only, no note → reviewer can't tell magnitude,
  sample, or number of countries
After: (1) a marginal-effects interaction plot — scar shrinks as activation spending rises (CI band);
  (2) a country caterpillar plot of random slopes showing where the effect is strong/weak
Self-contained note (illustrative): "Predicted within-person wage penalty from a two-level model,
  N = 86,000 in 24 countries, survey-weighted; bands are 95% CIs (wild cluster bootstrap);
  reproduces from master.R, seed = 2026."

The redesign stands alone, leads with the substantive magnitude and the cross-national variation, and ties the numbers to the deposited script.

Referee pushback → ESR-specific fix

  • "I can't read this table without the text." → Add a complete note (source, N, # countries, units, weighting, estimator) so it is intelligible alone.
  • "Stars don't tell me if this matters." → Replace with marginal effects and intervals; for a comparative claim, show the country-level spread with a forest/caterpillar plot.
  • "Where is the cross-level interaction?" → Plot predicted margins across the macro variable rather than reporting a bare interaction coefficient.
  • "Your figure dies in grayscale." → Re-encode with colorblind-safe, grayscale-legible channels.
Show full SKILL.md (231 more words)Show less

Calibration anchors

  • Exhibits are excluded from the word cap — use the room. ESR counts endnotes and references but not tables/figures, so a clear, self-contained exhibit costs nothing against length.
  • Show the comparison. A country forest/caterpillar plot communicates cross-national variation a generalist can grasp far better than a coefficient column.
  • Numbers must match the replication package. Exhibit values that disagree with the deposited code read as a credibility failure under ESR's replication mandate.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-supplement drift). Full map: execution-with-mcp. ESR is comparative quantitative sociology; cross-country panels with confounded institutions — foreground fixed effects and clustering.

  • Tables: etable (multi-model columns) 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 effect size in interpretable units.

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

Anti-patterns

  • Tables that require the prose to be intelligible (not self-contained)
  • Significance stars with no effect size or interval
  • Reporting a bare cross-level interaction coefficient with no predicted-margins plot
  • Color-only encoding that fails in grayscale or for colorblind readers
  • Exhibit values that don't match the analysis script / replication package

Output format

【Main exhibit】what it shows + why a table/figure
【Self-contained?】title + labels + note + source/N/# countries/weights present? [Y/N]
【Magnitude + uncertainty shown?】[Y/N]
【Comparative variation shown?】(forest/interaction plot where relevant) [Y/N]
【Reproducible?】matches master script / replication package? [Y/N]
【Next】eursr-writing-style

Supplementary resources

© 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 European-Sociological-Review-Skills/skills/eursr-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Categories

Questions about Eursr Tables Figures

What does Eursr Tables Figures do?

A skill your agent uses when building tables and figures for a European Sociological Review (ESR) manuscript. Eursr Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a European Sociological Review (ESR) manuscript.

When should I use Eursr Tables Figures?

Eursr Tables Figures fits situations like: building tables and figures for a European Sociological Review (ESR) manuscript.

How do I install Eursr Tables Figures in Claude Code?

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

How do I install Eursr Tables Figures in Codex?

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

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

What does Eursr Tables Figures need to run?

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

Does Eursr 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 Eursr 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 Eursr Tables Figures use?

Eursr 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 Eursr Tables Figures use?

About 1.8k tokens (SKILL.md is roughly 7.1k 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 Eursr Tables Figures?

Skills that share tags, products or a category with Eursr 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 Eursr 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.