A skill your agent uses when exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables, patent/bibliometric maps, event-study plots, case…

MITAuto-check passedLegal & Compliance

Install Respol Tables Figures

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

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

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

At a glance

A skill your agent uses when exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables, patent/bibliometric maps, event-study plots, case…

  • Exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables
  • SKILL.md covers When to trigger, The Research Policy exhibits bar, Designing the core exhibits and General craft, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Patent/bibliometric maps

What it does

Respol Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables, patent/bibliometric maps, event-study plots, case data structures) that carry the innovation mechanism for an interdisciplinary readership. Builds exhibits; it does not run the analysis (respol-data-analysis) or write prose (respol-writing-style).

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 Legal & Compliance, covering Intellectual property, Brand voice and tone and Data analysis. 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

  • Exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables
  • Patent/bibliometric maps
  • Event-study plots
  • Case data structures) that carry the innovation mechanism for an interdisciplinary readership

Example prompts

  • “/respol-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

Respol Tables Figures loads about 1.4k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 610 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
~1.4k

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). 610 words, ~1,435 tokens.

Download SKILL.mdSave it as .claude/skills/respol-tables-figures/SKILL.md (or your agent's skills folder).
name
respol-tables-figures
description
Use when exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables, patent/bibliometric maps, event-study plots, case data structures) that carry the innovation mechanism for an interdisciplinary readership. Builds exhibits; it does not run the analysis (respol-data-analysis) or write prose (respol-writing-style).

Tables and Figures (respol-tables-figures)

When to trigger

  • The key result is buried in a wall-of-coefficients table no reader can parse
  • A bibliometric/patent map or network is decorative — pretty but uninterpretable
  • An event-study or dose-response plot is missing where the design demands one
  • A qualitative paper has no data-structure table linking evidence to constructs
  • A referee says exhibits "don't answer the question" or descriptive stats are missing/opaque

The Research Policy exhibits bar

RP exhibits serve an interdisciplinary readership, so they must be self-explanatory to an economist, a management scholar, and a policymaker alike. Each exhibit should answer one question and visibly support the contribution; the headline result deserves a focused exhibit, not a dump of every specification. Innovation data also carry specific exhibit conventions: descriptive statistics that reveal the skew and zeros typical of patent/citation data, transparent variable definitions, and maps/networks that are interpreted, not merely displayed.

Designing the core exhibits

Regression / estimation tables
  • Lead with a table that isolates the headline innovation effect; relegate the full specification grid to robustness.
  • Report coefficients with standard errors and the relevant model statistics; state the estimator, sample, fixed effects, and clustering in the notes so the table stands alone.
  • For count models, report incidence-rate ratios or marginal effects where they aid interpretation — a raw NB coefficient is opaque to many RP readers.
  • Provide a descriptive-statistics and correlation table that shows the distribution (means, SDs, and the share of zeros for count variables).
Patent / bibliometric exhibits
  • Co-occurrence/citation networks and technology maps must have an interpretive payoff: annotate clusters, state the layout algorithm and the tie definition, and tell the reader what to see.
  • Time-series of patenting/diffusion should mark policy dates or structural breaks relevant to the claim.
Causal-design plots
  • Event-study plots with leads/lags and confidence bands for DID; first-stage and reduced-form plots for IV; RD plots with binned means and the fitted discontinuity.
Qualitative exhibits
  • A data-structure table (1st-order codes → 2nd-order themes → aggregate dimensions) and a representative-quotes table that ties evidence to each construct.

General craft

  • Every exhibit has a number, a self-contained title, complete notes (source, sample, units), and is referenced and interpreted in the text.
  • Units and variable definitions are explicit; do not assume the reader knows your patent indicator.
  • Figures should be legible in greyscale and at print size; avoid chartjunk and uninterpreted color.
  • Place exhibits to follow the argument's logic; the appendix holds robustness, not load-bearing results.
Show full SKILL.md (213 more words)Show less

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. Research Policy is innovation studies — patent/firm panels with selection; foreground identification and the selection objection.

  • 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

  • A focused exhibit isolates the headline innovation effect
  • Descriptive stats reveal skew/zeros in patent/citation variables
  • Count-model results are reported in interpretable units (IRR / marginal effects) where helpful
  • Patent/bibliometric maps are annotated and interpreted, not decorative
  • Design-required plots (event study / first stage / RD) are present
  • Qualitative data-structure and quotes tables link evidence to constructs
  • Each exhibit stands alone (title + notes: source, sample, estimator, clustering)
  • Every exhibit is interpreted in the text, not just cited

Anti-patterns

  • A single mega-table where the headline result is one column among twenty
  • A network/map shown without telling the reader what to conclude from it
  • Raw negative-binomial coefficients with no interpretive translation
  • Descriptive tables that hide the zero-inflation of innovation counts
  • Color-dependent figures that fail in greyscale
  • A qualitative paper with quotes scattered in prose but no data-structure table

Output format

text
【Journal】Research Policy
【Skill】respol-tables-figures
【Headline exhibit】what it isolates and how it supports the contribution
【Descriptives】skew/zeros of innovation variables shown? [Y/N]
【Interpretation】count units / map annotation / design plots present? [Y/N]
【Stand-alone notes】source, sample, estimator, clustering in each note? [Y/N]
【Qualitative】data-structure + quotes table? [Y/N / NA]
【Verdict】pass / revise / reroute
【Next skill】respol-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 Research-Policy-Skills/skills/respol-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Respol Tables Figures

What does Respol Tables Figures do?

A skill your agent uses when exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables, patent/bibliometric maps, event-study plots, case…. Respol Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables, patent/bibliometric maps, event-study plots, case data structures) that carry the innovation mechanism for an interdisciplinary readership.

When should I use Respol Tables Figures?

Respol Tables Figures fits situations like: exhibits are the bottleneck for a Research Policy (RP) manuscript — designing tables and figures (regression tables; patent/bibliometric maps; event-study plots; case data structures) that carry the innovation mechanism for an interdisciplinary readership.

How do I install Respol Tables Figures in Claude Code?

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

How do I install Respol Tables Figures in Codex?

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

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

What does Respol Tables Figures need to run?

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

Does Respol 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 Respol 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 Respol Tables Figures use?

Respol 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 Respol 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 Respol Tables Figures?

Skills that share tags, products or a category with Respol Tables Figures: Replica Brand (Jakeschincariol/replica-skill, 1.4k stars), Skill Auditor (aipoch/medical-research-skills, 1.9k stars), Protocol Deviation Classifier (aipoch/medical-research-skills, 1.9k stars) and Mechanical Engineering Research (ccplugins/awesome-claude-code-plugins, 970 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Respol 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.