Agent skill · Data & Analytics

respol-tables-figures

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).

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill respol-tables-figures --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Research-Policy-Skills/skills/respol-tables-figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ef

What's inside
Steps it walks through
  1. When to trigger
  2. The Research Policy exhibits bar
  3. Designing the core exhibits
  4. Regression / estimation tables
  5. Patent / bibliometric exhibits
  6. Causal-design plots
  7. Qualitative exhibits
  8. General craft
  9. Execution bridge (StatsPAI / Stata MCP)
  10. Checklist
  11. Anti-patterns
  12. Output format
More from Awesome-Journal-Skills
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About this skill
What does the respol-tables-figures skill do?

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).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill respol-tables-figures --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going