jfqa-tables-figures
Use when building the tables and figures for a Journal of Financial and Quantitative Analysis (JFQA) paper — summary statistics, main regressions, robustness, and finance-standard exhibits with self-contained notes that state sample, clustering, winsorizing, and economic magnitudes. Use to make exhibits readable under double-anonymous review and consistent with JFQA formatting.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-tables-figures --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# JFQA Tables & Figures (jfqa-tables-figures) Use this skill to design exhibits for a **JFQA** manuscript so a reviewer can read each one standalone and so the file complies with the journal's prescriptive formatting. ## Standard finance exhibit set - **Table 1 — Summary statistics**: variable definitions, N, means, SDs, key percentiles; note winsorizing/trimming. - **Correlation matrix** where relevant. - **Main results table**: the core regressions/sorts, with coefficients, SEs, the clustering dimension, fixed effects listed, and N. - **Robustness tables**: alternative samples, definitions, FE/clustering. - **Heterogeneity / mechanism tables**. - **Figures**: event-study coefficient plots, portfolio-sort patterns, RDD discontinuity plots, time-series of the key series. ## Self-contained notes (required discipline) Each table/figure note must state: sample and period, unit of observation, what is winsorized, the SE/clustering choice, fixed effects, and how to read the magnitude. A reviewer should not need the text to interpret the exhibit. ## Presentation standards - Report **economic magnitudes**, not only significance stars; finance referees want effect sizes (bps, monthly alpha
- Standard finance exhibit set
- Self-contained notes (required discipline)
- Presentation standards
- Formatting compliance
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- A model JFQA table note, dissected (numbers illustrative)
- Result-to-exhibit decision table
- Calibration anchors from the published page
- Figure craft for quantitative referees
- Output format
What does the jfqa-tables-figures skill do?
Use when building the tables and figures for a Journal of Financial and Quantitative Analysis (JFQA) paper — summary statistics, main regressions, robustness, and finance-standard exhibits with self-contained notes that state sample, clustering, winsorizing, and economic magnitudes. Use to make exhibits readable under double-anonymous review and consistent with JFQA formatting.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jfqa-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.