A skill your agent uses when building exhibits for an Annual Review of Sociology (ARSoc) review — summary "who-found-what" tables, the conceptual/framework figure, and meta-evidence exhibits that…

MITAuto-check passedWriting & Content

Install Arsoc Tables Figures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills arsoc-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/Annual-Review-of-Sociology-Skills/skills/arsoc-tables-figures .claude/skills/arsoc-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
arsoc-tables-figures
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
708 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when building exhibits for an Annual Review of Sociology (ARSoc) review — summary "who-found-what" tables, the conceptual/framework figure, and meta-evidence exhibits that…

  • Building exhibits for an Annual Review of Sociology (ARSoc) review — summary who-found-what tables
  • SKILL.md covers When to trigger, The three exhibit types an…, Building a credible summary… and The conceptual figure is…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • The conceptual/framework figure

What it does

Arsoc Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building exhibits for an Annual Review of Sociology (ARSoc) review — summary "who-found-what" tables, the conceptual/framework figure, and meta-evidence exhibits that synthesize across studies. Designs review exhibits; it does not produce original-estimate regression tables (an ARSoc review reports no new estimates of its own) or write prose (arsoc-writing-style).

Its SKILL.md is about 1.5k 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 Writing & Content, covering Brand voice and tone. 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 exhibits for an Annual Review of Sociology (ARSoc) review — summary who-found-what tables
  • The conceptual/framework figure
  • Meta-evidence exhibits that synthesize across studies

Example prompts

  • “who-found-what”
  • “/arsoc-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

Arsoc Tables Figures loads about 1.5k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 708 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 708 words, ~1,524 tokens.

Download SKILL.mdSave it as .claude/skills/arsoc-tables-figures/SKILL.md (or your agent's skills folder).
name
arsoc-tables-figures
description
Use when building exhibits for an Annual Review of Sociology (ARSoc) review — summary "who-found-what" tables, the conceptual/framework figure, and meta-evidence exhibits that synthesize across studies. Designs review exhibits; it does not produce original-estimate regression tables (an ARSoc review reports no new estimates of its own) or write prose (arsoc-writing-style).

Tables & Figures for a Review (arsoc-tables-figures)

When to trigger

  • The synthesis is done and a cross-subfield reader needs to see the area at a glance
  • A debate or a body of findings would be clearer as a table than as prose
  • The organizing framework would land better as a diagram
  • You are tempted to paste a regression table — but this is a review, not a primary paper

The three exhibit types an ARSoc review actually uses

ARSoc exhibits summarize across the literature; they do not present the author's own estimation. The workhorses:

ExhibitPurposeDesign notes
Who-found-what summary tableone row per study (or per design class): question/claim, method/mode, sample, finding, tradition, credibility noterows ordered by the framework's cells, not chronology; columns let the reader compare comparable objects
Conceptual / framework figurerender the organizing spine — taxonomy tree, mechanism/process diagram, levels-of-analysis map, the simple modelthis is often the review's signature exhibit; it should be restate-able from memory by a non-specialist
Meta-evidence exhibita forest-style plot, a timeline of a debate, a coverage/citation mapuse only when the estimates are commensurable; otherwise it manufactures false consensus

Building a credible summary table

  • Compare like with like. Group studies that address the same object; never put non-comparable claims or estimands in one column (the cross-study pooling error from arsoc-comprehensiveness-and-balance).
  • Carry the mode and the credibility. Sociology mixes ethnography, surveys, computational analysis, and theory; a method/mode column plus a credibility note lets the reader weigh a row without re-reading the study.
  • Self-contained captions. An ARSoc exhibit is read on its own by a cross-subfield sociologist; the caption states what the table shows, the unit, how to read a row, and the source studies.
  • Source every cell. Each entry traces to a study in the evidence matrix; an unsourced claim in a review of record is indefensible.

The conceptual figure is ARSoc's signature

Because the readership spans subfields, the framework figure carries disproportionate weight: it is what a sociologist from another area remembers and reuses (and what gets reproduced in syllabi). Invest in one diagram that renders the spine cleanly — a taxonomy tree, a mechanism flow, or a levels-of-analysis map — so a reader who recalls nothing else can reconstruct the subfield's structure from it. Annual Reviews production supports full-color figures; design for legibility in the published format and confirm current figure specs on the author pages (检索于 2026-06;以官网为准).

Show full SKILL.md (314 more words)Show less

Meta-analysis caution

If you assemble effect sizes into a quantitative synthesis (forest plot, meta-regression), you are doing a meta-analysis, with its assumptions — comparable estimands, publication-bias diagnostics, weighting. Sociology's qualitative and theoretical strands rarely reduce to a pooled effect size; do this only where the literature genuinely supports it, and never pool incommensurable findings. ARSoc readers include the methodologists who would catch invalid pooling. If you do run a meta-analysis, its data and code must be reproducible (see arsoc-transparency-and-reproducibility).

Reproduced vs. re-drawn figures

When a figure from a reviewed study is central, prefer a re-drawn synthesis figure (your own panel placing several studies on common axes) over copying one study's exhibit — it serves the review's argument and avoids consensus-by-accident. If you reproduce an original figure, attribute it and secure any permission Annual Reviews requires (检索于 2026-06;以官网为准).

Checklist

  • Each exhibit synthesizes across studies (no original-estimate regression output)
  • Summary-table rows ordered by framework cells; only comparable objects share a column
  • A method/mode column and a credibility note accompany each finding
  • The conceptual figure renders the spine and is restate-able from memory by a non-specialist
  • Any meta-evidence plot pools only commensurable estimates; bias diagnostics noted
  • Captions are self-contained (what / unit / how to read a row / sources)
  • Every cell sources to a study in the evidence matrix
  • Figure specs / permissions confirmed against current Annual Reviews author pages (volatile)

Anti-patterns

  • Pasting a regression table of the author's own new estimates — a review reports no new results
  • A who-found-what table that pools incomparable claims into one column
  • A forest plot implying a pooled consensus the literature does not support (or pooling qualitative work into effect sizes)
  • Finding columns with no method/credibility note (every reader then asks "is that study any good?")
  • A decorative figure that does not encode the framework — wasting the review's signature exhibit
  • Exhibits whose captions require the body text to be intelligible (fails the cross-subfield reader)

Output format

text
【Exhibit set】<list: summary tables / conceptual figure / meta-evidence>
【Summary table】rows by framework cell; comparable objects only? Y/N
【Mode + credibility column】present for every finding? Y/N
【Conceptual figure】renders the spine; restate-able from memory? Y/N
【Meta-evidence】pools only commensurable estimates (or omitted)? Y/N
【Sourcing】every cell traces to the evidence matrix? Y/N
【Specs/permissions】confirmed on Annual Reviews author pages? Y/N · 待核实
【Next step】→ arsoc-writing-style (weave exhibits into the synthesis prose)

© 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 Annual-Review-of-Sociology-Skills/skills/arsoc-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Arsoc Tables Figures

What does Arsoc Tables Figures do?

A skill your agent uses when building exhibits for an Annual Review of Sociology (ARSoc) review — summary "who-found-what" tables, the conceptual/framework figure, and meta-evidence exhibits that…. Arsoc Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building exhibits for an Annual Review of Sociology (ARSoc) review — summary "who-found-what" tables, the conceptual/framework figure, and meta-evidence exhibits that synthesize across studies.

When should I use Arsoc Tables Figures?

Arsoc Tables Figures fits situations like: building exhibits for an Annual Review of Sociology (ARSoc) review — summary who-found-what tables; the conceptual/framework figure; meta-evidence exhibits that synthesize across studies.

How do I install Arsoc Tables Figures in Claude Code?

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

How do I install Arsoc Tables Figures in Codex?

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

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

What does Arsoc Tables Figures need to run?

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

Does Arsoc 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 Arsoc 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 Arsoc Tables Figures use?

Arsoc 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 Arsoc Tables Figures use?

About 1.5k tokens (SKILL.md is roughly 6.1k 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 Arsoc Tables Figures?

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Who maintains Arsoc 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.