Agent skill

Popdevr Tables Figures

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

A skill your agent uses when building tables and figures for a Population and Development Review (PDR, Wiley / Population Council) manuscript so exhibits are self-contained, accessible, and legible…

MITAuto-check passedResearch & Science

Install Popdevr Tables Figures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popdevr-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/Population-and-Development-Review-Skills/skills/popdevr-tables-figures .claude/skills/popdevr-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
popdevr-tables-figures
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
682 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 Population and Development Review (PDR, Wiley / Population Council) manuscript so exhibits are self-contained, accessible, and legible…

  • Works in 7 steps: Self-contained. A reader should… → Carry the development point. Title and… → Use the right demographic graphic for… → …
  • Building tables and figures for a Population and Development Review (PDR
  • SKILL.md covers When to trigger, Principles, Distinctive demographic and… and Execution bridge (StatsPAI /…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Popdevr Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Population and Development Review (PDR, Wiley / Population Council) manuscript so exhibits are self-contained, accessible, and legible to a broad demography-and-development readership. Covers distinctive demographic graphics (population pyramids, age schedules, survival curves, projection fans) and cross-country comparative exhibits. Designs exhibits; it does not run the analysis.

Its SKILL.md is about 1.6k 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 Population and Development Review (PDR
  • Wiley / Population Council) manuscript so exhibits are self-contained
  • Legible to a broad demography-and-development readership

Example prompts

  • “/popdevr-tables-figures”

Workflow steps

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

  1. Self-contained. A reader should understand each exhibit from its title, axis/column labels, and
  2. Carry the development point. Title and note should make the population-and-development meaning
  3. Use the right demographic graphic for the quantity. Don't default to a bar chart when the data
  4. Show uncertainty. Confidence bands on rates, life-expectancy contributions, hazard/survival
  5. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk, no 3D. Reviewers and a
  6. Main text vs. supporting information. Keep the few exhibits that carry the argument in the
  7. Reproducible. Each exhibit is generated by the master script; numbers match the deposited

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

Popdevr Tables Figures loads about 1.6k tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 682 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 682 words, ~1,626 tokens.

Download SKILL.mdSave it as .claude/skills/popdevr-tables-figures/SKILL.md (or your agent's skills folder).
name
popdevr-tables-figures
description
Use when building tables and figures for a Population and Development Review (PDR, Wiley / Population Council) manuscript so exhibits are self-contained, accessible, and legible to a broad demography-and-development readership. Covers distinctive demographic graphics (population pyramids, age schedules, survival curves, projection fans) and cross-country comparative exhibits. Designs exhibits; it does not run the analysis.

Tables & Figures (popdevr-tables-figures)

Exhibits are where an expert reader checks whether the result is real — and, at PDR, where a broad readership grasps both the population pattern and its development meaning. A figure must carry the population-and-development point to an economist or environmental scholar, not only a demographer. Keep the set tight: every exhibit must earn its place and the prose should not need it explained.

When to trigger

  • Designing the main results table/figure or a key descriptive exhibit
  • Deciding what belongs in the article vs. the supporting information
  • A reviewer found an exhibit unclear, mislabeled, or non-self-contained
  • Trimming an exhibit set that has grown past what the argument needs

Principles

  1. Self-contained. A reader should understand each exhibit from its title, axis/column labels, and note alone. State the population, period, age range, source/vintage, units, and N or exposure.
  2. Carry the development point. Title and note should make the population-and-development meaning legible, not just the demographic quantity — a reader outside demography must see the takeaway.
  3. Use the right demographic graphic for the quantity. Don't default to a bar chart when the data call for an age schedule, a population pyramid, a survival curve, or a projection fan.
  4. Show uncertainty. Confidence bands on rates, life-expectancy contributions, hazard/survival curves, decomposition components, and projection scenarios — not bare lines or point estimates.
  5. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk, no 3D. Reviewers and a broad readership must parse it quickly.
  6. Main text vs. supporting information. Keep the few exhibits that carry the argument in the article; move full life tables, sensitivity grids, and supplementary detail to the supporting information.
  7. Reproducible. Each exhibit is generated by the master script; numbers match the deposited materials (see popdevr-transparency-and-data).

Distinctive demographic and comparative exhibits

  • Population pyramids for age-sex structure and its change over time (and across development levels).
  • Age schedules of fertility (ASFR), mortality (mx/qx), and migration; tempo-adjusted curves.
  • Survival and hazard curves (Kaplan-Meier, cumulative-incidence for competing risks).
  • Decomposition bar/stacked plots showing component contributions that sum to the total.
  • Projection fans / scenario plots tied to policy or development futures, with uncertainty.
  • Cross-country scatter / small-multiples linking a population quantity to a development indicator — with comparability caveats in the note.
  • Small-multiple maps for spatial demographic variation.
Show full SKILL.md (309 more words)Show less

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. PDR is population studies blending quantitative and policy work; apply the chain to its empirical-causal papers.

  • 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)
  • A generic bar chart where an age schedule, pyramid, or projection fan would reveal the pattern
  • Rates, e0 contributions, or projections plotted with no uncertainty
  • A cross-country scatter read as a development effect with no comparability caveat
  • Exhibit numbers/values that don't match the deposited code output

Exhibit pass for PDR

Run this as a concrete capability pass. First lock the population process, the development/policy linkage, the data and time scale, the selection/measurement issue, and the uncertainty; then test whether the manuscript addresses PDR's broad audience who inspect both the population evidence and its development meaning.

  • Primary move: For every table or figure, state the object, sample/case base, uncertainty display, and one sentence the exhibit proves about population and development for this venue.
  • Decision ledger: return claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.
  • Sibling comparison: compare against Demography and Population Studies (methods-forward), Population Research and Policy Review (applied policy), and Studies in Family Planning (programs); if a neighbor has the stronger audience claim, recommend re-routing before polishing.
  • Verification floor: before submission-ready advice, re-open resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.

Output format

【Main exhibit】what it shows + which graphic + the population-and-development point
【Self-contained?】title + labels + note + population/period/source/N present? [Y/N]
【Uncertainty shown?】bands/intervals on rates/curves/components/projections? [Y/N]
【Accessible?】grayscale-legible + colorblind-safe? [Y/N]
【Article vs SI】split decided, set kept tight?
【Reproducible?】generated by master script, matches package? [Y/N]
【Next】popdevr-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 Population-and-Development-Review-Skills/skills/popdevr-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
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Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Popdevr Tables Figures

What does Popdevr Tables Figures do?

A skill your agent uses when building tables and figures for a Population and Development Review (PDR, Wiley / Population Council) manuscript so exhibits are self-contained, accessible, and legible…. Popdevr Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Population and Development Review (PDR, Wiley / Population Council) manuscript so exhibits are self-contained, accessible, and legible to a broad demography-and-development readership.

When should I use Popdevr Tables Figures?

Popdevr Tables Figures fits situations like: building tables and figures for a Population and Development Review (PDR; wiley / Population Council) manuscript so exhibits are self-contained; legible to a broad demography-and-development readership.

How do I install Popdevr Tables Figures in Claude Code?

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

How do I install Popdevr Tables Figures in Codex?

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

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

What does Popdevr Tables Figures need to run?

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

Does Popdevr 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 Popdevr 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 Popdevr Tables Figures use?

Popdevr 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 Popdevr Tables Figures use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Popdevr Tables Figures?

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