A skill your agent uses when building the tables and figures for a Journal of Financial and Quantitative Analysis (JFQA) paper — summary statistics, main regressions, robustness, and…

MITAuto-check passedData & Analytics

Install Jfqa Tables Figures

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

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

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

At a glance

A skill your agent uses when building the tables and figures for a Journal of Financial and Quantitative Analysis (JFQA) paper — summary statistics, main regressions, robustness, and…

  • Building the tables and figures for a Journal of Financial and Quantitative Analysis (JFQA) paper — summary statistics
  • SKILL.md covers Standard finance exhibit set, Self-contained notes (required…, Presentation standards and Formatting compliance, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Main regressions

What it does

Jfqa Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

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 Data & Analytics, covering Data analysis. It works with Model Context Protocol. 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 the tables and figures for a Journal of Financial and Quantitative Analysis (JFQA) paper — summary statistics
  • Main regressions
  • Finance-standard exhibits with self-contained notes that state sample
  • Economic magnitudes

Example prompts

  • “/jfqa-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

Jfqa Tables Figures loads about 1.5k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 693 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
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). 693 words, ~1,501 tokens.

Download SKILL.mdSave it as .claude/skills/jfqa-tables-figures/SKILL.md (or your agent's skills folder).
name
jfqa-tables-figures
description
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.

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, elasticities).
  • Number tables/figures and call them out in order.
  • Keep figures clean (vector output, legible at print resolution, no chartjunk).

Formatting compliance

JFQA submissions use 8.5 × 11 paper, 1-inch margins, 12-pt Times New Roman, double-spaced (body and appendices), in a single text-searchable PDF. Ensure embedded exhibits stay legible at these settings and that the PDF remains searchable (no image-only tables).

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-appendix drift). Full map: execution-with-mcp.

  • Tables: etable (multi-model columns) or did_summary_to_latex straight from the result_id — one variable definition, one set of numbers, body and appendix in sync.
  • 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 (from the result's diagnostics) and states the magnitude in interpretable units.

See a full fitted-result → exhibit chain in the JF execution walkthrough.

Anti-patterns

  • Tables that require the text to interpret.
  • Significance stars with no economic magnitude.
  • Undisclosed winsorizing or an unstated clustering choice.
  • Image-only exhibits that break the text-searchable-PDF requirement.

A model JFQA table note, dissected (numbers illustrative)

Table 3 reports value-weighted monthly returns of decile portfolios sorted on the signal using NYSE breakpoints, July 1973 to December 2023. The sample is CRSP common stocks (share codes 10/11); accounting variables are winsorized at the 1st/99th percentiles and lagged six months. The 10-1 spread is 0.42% per month (t = 2.9, Newey-West with 6 lags), about 5.2% annualized. Alphas are from the five-factor model plus momentum.

Why each clause earns its place: sample and period (replicability), breakpoints and weighting (the two choices that most often flip sort results), winsorizing and lags (data hygiene a JFQA referee will probe), spread with both monthly and annualized magnitude (economic significance), inference method with the lag count (no hidden SE choices), and the benchmark model (so "alpha" is defined). Write every note to this standard and the exhibit survives being read in isolation.

Show full SKILL.md (222 more words)Show less

Result-to-exhibit decision table

Result typeExhibit JFQA referees expect
Cross-sectional return premiumdecile-sort table with 10-1 row, then a Fama-MacBeth table
Policy/regulation effectevent-study coefficient figure with CIs, then a group-time ATT table
Threshold designbinned scatter at the cutoff plus a bandwidth-robustness table
Mechanism claimsplit-sample or interaction table keyed to where the channel should bind
Headline magnitudea one-SD / %-of-mean row built into the main table, not buried in text

Calibration anchors from the published page

  • Recent JFQA empirical papers commonly carry on the order of eight to twelve main-text exhibits, with additional robustness in an Internet Appendix — treat this as a soft anchor from reading recent issues, not a quota, and calibrate within your subfield.
  • Internet Appendix exhibits are numbered separately (IA.1, IA.2, ...); the main text must stand alone without them.
  • Every exhibit is cited in order of first mention; an orphan exhibit signals padding to a screener already wary of over-long papers.

Figure craft for quantitative referees

  • Coefficient and event-study plots carry confidence intervals and a marked reference period; a point-estimate-only figure invites the inference question all over again.
  • Axis labels use finance units (bps, %, $bn), and the scale is chosen so the economic magnitude — not just the shape — is readable.
  • Figures must survive grayscale printing and the 8.5 × 11 double-spaced layout without shrinking below legibility.

Output format

【Exhibit list】Table 1...N, Figure 1...M with one-line purpose each
【Notes】each states sample / clustering / winsor / magnitude
【Formatting】fits 8.5x11 / 1-in / 12-pt TNR, PDF searchable
【Next step】jfqa-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 Journal-of-Financial-and-Quantitative-Analysis-Skills/skills/jfqa-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jfqa Tables Figures next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Jfqa Tables Figures compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jfqa Tables Figures this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
Save Research Notebooknapjon/krisk117—~702Automated safety check: PassBSD-3-Clause
Ktx AnalyticsKaelio/ktx1.6k—~10kAutomated safety check: PassApache-2.0
Jupyter Notebook BuilderKilo-Org/kilo-marketplace190—~1.3kAutomated safety check: PassMIT
Replnteract/nteract179—~1.4kAutomated safety check: PassBSD-3-Clause
Cao Workflowawslabs/cli-agent-orchestrator1.4k—~4.5kAutomated safety check: PassApache-2.0

Similar skills

  • Convert a completed data-analysis conversation into evidence-backed, reproducible living research through the Krisk MCP server.

    117 GitHub stars~702 tokensUpdated 9 days ago
    Data & AnalyticsAuto-check passed
  • Ktx Analytics

    Kaelio/ktx

    A skill your agent uses when answering a question that needs data from a ktx-connected database - investigating, analyzing, "how many", "show me", "what's the breakdown of", finding records by…

    1.6k GitHub stars~10k tokensUpdated 29 days ago
    Data & AnalyticsAuto-check passed
  • Jupyter Notebook Builder

    Kilo-Org/kilo-marketplace

    Creates, inspects, edits and runs Jupyter notebooks, scaffolding experiment or tutorial notebooks from templates and preferring a Jupyter MCP server over raw JSON edits.

    190 GitHub stars~1.3k tokensUpdated 12 days ago
    Data & AnalyticsAuto-check passed
  • Repl

    nteract/nteract

    Use nteract notebooks as a persistent Python REPL. An agent skill from nteract/nteract.

    179 GitHub stars~1.4k tokensUpdated today
    Data & AnalyticsAuto-check passed
  • Cao Workflow

    awslabs/cli-agent-orchestrator

    Official

    Author and run CAO Python workflow scripts — multi-step, parameterized, fan-out orchestrations executed by cao workflow run.

    1.4k GitHub stars~4.5k tokensUpdated today
    Data & AnalyticsAuto-check passed
  • Bagofwords

    bagofwords1/bagofwords

    Query, visualize, and analyze data in a Bag of Words (BOW) workspace via the bagofwords MCP tools.

    459 GitHub stars~1.5k tokensUpdated today
    Data & AnalyticsAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 13 days ago
    Auto-check passed

Questions about Jfqa Tables Figures

What does Jfqa Tables Figures do?

A skill your agent uses when building the tables and figures for a Journal of Financial and Quantitative Analysis (JFQA) paper — summary statistics, main regressions, robustness, and…. Jfqa Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Jfqa Tables Figures?

Jfqa Tables Figures fits situations like: building the tables and figures for a Journal of Financial and Quantitative Analysis (JFQA) paper — summary statistics; main regressions; finance-standard exhibits with self-contained notes that state sample; economic magnitudes.

How do I install Jfqa Tables Figures in Claude Code?

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

How do I install Jfqa Tables Figures in Codex?

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

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

What does Jfqa Tables Figures need to run?

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

Does Jfqa 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 Jfqa 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 Jfqa Tables Figures use?

Jfqa 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 Jfqa Tables Figures use?

About 1.5k tokens (SKILL.md is roughly 6k 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 Jfqa Tables Figures?

Skills that share tags, products or a category with Jfqa Tables Figures: Save Research Notebook (napjon/krisk, 117 stars), Ktx Analytics (Kaelio/ktx, 1.6k stars), Jupyter Notebook Builder (Kilo-Org/kilo-marketplace, 190 stars) and Repl (nteract/nteract, 179 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jfqa 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.