A skill your agent uses when preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics, regression tables, event-study plots, mechanism and heterogeneity exhibits…

MITAuto-check passedData & Analytics

Install Jbf Tables Figures

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

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

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

At a glance

A skill your agent uses when preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics, regression tables, event-study plots, mechanism and heterogeneity exhibits…

  • Works in 5 steps: Table 1: sample and summary statistics.… → Table 2: baseline results. Build from… → Table 3: identification checks.… → …
  • Preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics
  • SKILL.md covers When to trigger, Exhibit architecture, Figures that work for JBF and Table notes, plus 9 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jbf Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics, regression tables, event-study plots, mechanism and heterogeneity exhibits, appendix robustness inventories, and self-contained notes that report sample, fixed effects, clustering, and units.

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 Statistics. 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

  • Preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics
  • Regression tables
  • Event-study plots
  • Mechanism and heterogeneity exhibits

Example prompts

  • “/jbf-tables-figures”

Workflow steps

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

  1. Table 1: sample and summary statistics. Include variable definitions,
  2. Table 2: baseline results. Build from sparse to saturated specifications
  3. Table 3: identification checks. Pre-trends, placebo outcomes, alternative
  4. Table 4: mechanisms and heterogeneity. Tie each split to banking/finance
  5. Appendix tables: robustness inventory. Alternative samples, definitions,

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

Jbf Tables Figures loads about 1.5k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 608 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
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). 608 words, ~1,493 tokens.

Download SKILL.mdSave it as .claude/skills/jbf-tables-figures/SKILL.md (or your agent's skills folder).
name
jbf-tables-figures
description
Use when preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics, regression tables, event-study plots, mechanism and heterogeneity exhibits, appendix robustness inventories, and self-contained notes that report sample, fixed effects, clustering, and units.

Tables & Figures (jbf-tables-figures)

When to trigger

  • Main empirical results exist but the exhibits are hard to read
  • You need JBF-ready descriptive, regression, event-study, or robustness tables
  • Figure and table notes do not identify sample, fixed effects, clustering, or units

Exhibit architecture

  1. Table 1: sample and summary statistics. Include variable definitions, units, winsorization, and observation counts.
  2. Table 2: baseline results. Build from sparse to saturated specifications so readers can see identifying variation.
  3. Table 3: identification checks. Pre-trends, placebo outcomes, alternative fixed effects, alternative clustering, or IV first stage.
  4. Table 4: mechanisms and heterogeneity. Tie each split to banking/finance theory, not to fishing.
  5. Appendix tables: robustness inventory. Alternative samples, definitions, windows, and estimation methods.

Figures that work for JBF

  • Event-study coefficient plots with confidence intervals and a clear omitted period
  • Sample-selection flow charts for complex merges
  • Binned scatter or marginal-effect plots for nonlinear mechanisms
  • Time-series plots for policy shocks, treatment timing, or market conditions

Table notes

Every regression table note should state:

  • Dependent variable and units
  • Sample and period
  • Fixed effects
  • Clustering level
  • Controls
  • Treatment or event-window definition
  • Stars or confidence-interval convention

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. JBF is empirical banking/finance — corporate/bank causal designs around regulation and shocks.

  • 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.

Anti-patterns

  • Ten nearly identical coefficient columns with no specification logic
  • Statistical significance without economic magnitude
  • Appendix robustness that is impossible to map back to the main claim
  • Figure axes with undefined units

JBF exhibit calibration

Accepted JBF empirical papers commonly carry roughly six to nine main-text exhibits — summary statistics, baseline, identification diagnostics, mechanism/heterogeneity, and one or two robustness pieces — with deeper batteries in an appendix (a stylized norm, not a journal rule). Event-study figures usually earn main-text space when the design is staggered adoption; pure robustness plots rarely do.

Show full SKILL.md (260 more words)Show less

Worked magnitude conversion (illustrative)

Suppose the baseline coefficient on a post-LCR × exposure interaction is −0.014 with loans/assets as the outcome.

  • A one-standard-deviation exposure (0.6, illustrative) implies −0.014 × 0.6 = −0.84 percentage points of loans/assets.
  • Against a sample-mean loans/assets of 62%, that is a 1.4% relative decline; against mean quarterly loan growth of 1.1%, it is most of one quarter's growth.
  • Put the conversion in the results text and the benchmarks (mean, SD) in Table 1 so the table note can stay short.

Regression table skeleton

text
Table X: [Outcome] and [treatment], bank-quarter panel
               (1)       (2)       (3)       (4)
Treat x Post   b/se      b/se      b/se      b/se
Controls       No        Yes       Yes       Yes
Bank FE        Yes       Yes       Yes       Yes
Quarter FE     Yes       Yes       --        Yes
State x Qtr FE --        --        Yes       --
Cluster        Bank      Bank      State     State
N / R2         ...
Note: sample, period, units, winsorization, FE, clustering, star convention.

Columns must encode a specification logic (sparse → saturated → alternative FE and clustering), not a sensitivity dump.

Figure conventions for bank panels

  • Event-study plots: mark the omitted period, shade confidence intervals, and date both announcement and implementation when they differ.
  • Treatment-rollout plots: show adoption timing across states or countries for staggered designs so readers see the control pool.
  • Bunching or density plots around supervisory asset thresholds whenever a cutoff design is used.
  • Sample-attrition flowcharts when merging Call Reports with DealScan-style loan data; match the counts to the attrition table.

Referee exhibit complaints

  • "I cannot reconstruct N across columns." → report observations per column, not once per table.
  • "Stars without magnitudes." → add a standardized-effect or economic-magnitude row.
  • "Appendix Table A12 contradicts Table 3." → audit the specification map before resubmission; mismatches read as carelessness.

Exhibit economy

Keep the main exhibit set to: sample/table 1, baseline, identification check, mechanism, and one decisive robustness table. Move specification inventories to the appendix and make the appendix map back to the main claim so reviewers can audit without rereading the whole paper.

Output format

text
[Main exhibit claim] ...
[Table/Figure role] baseline / identification / mechanism / robustness
[Required note fields] sample, FE, clustering, units, controls
[Missing diagnostics] ...
[Next step] jbf-contribution-framing or jbf-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-Banking-and-Finance-Skills/skills/jbf-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jbf 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.

Jbf Tables Figures compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jbf Tables Figures this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
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Sub2submekoand/sub2sub114—~5.1kAutomated safety check: PassMIT
China Statistics Datazzhonglei/GeoCode-Release189—~2.7kAutomated safety check: PassMIT
Cv Usagetombelieber/claude-view111—~3.1kAutomated safety check: PassMIT
Cja Dimension Analysisadobe/skills197—~3.3kAutomated safety check: PassApache-2.0

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Questions about Jbf Tables Figures

What does Jbf Tables Figures do?

A skill your agent uses when preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics, regression tables, event-study plots, mechanism and heterogeneity exhibits…. Jbf Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics, regression tables, event-study plots, mechanism and heterogeneity exhibits, appendix robustness inventories, and self-contained notes that report sample, fixed effects, clustering, and units.

When should I use Jbf Tables Figures?

Jbf Tables Figures fits situations like: preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics; regression tables; event-study plots; mechanism and heterogeneity exhibits.

How do I install Jbf Tables Figures in Claude Code?

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

How do I install Jbf Tables Figures in Codex?

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

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

What does Jbf Tables Figures need to run?

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

Does Jbf 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 Jbf 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 Jbf Tables Figures use?

Jbf 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 Jbf 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 Jbf Tables Figures?

Skills that share tags, products or a category with Jbf Tables Figures: Find Hypertable Candidates (timescale/pg-aiguide, 1.9k stars), Sub2sub (mekoand/sub2sub, 114 stars), China Statistics Data (zzhonglei/GeoCode-Release, 189 stars) and Cv Usage (tombelieber/claude-view, 111 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jbf 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.