A skill your agent uses when designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions, calibration tables, moment-matching (model-vs-data) tables…

MITAuto-check passedResearch & Science

Install Red Tables Figures

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

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

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

At a glance

A skill your agent uses when designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions, calibration tables, moment-matching (model-vs-data) tables…

  • Works in 5 steps: Mechanism figure: state variables or… → Discipline table: parameters,… → Fit table: targeted and untargeted… → …
  • Designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions
  • SKILL.md covers When to trigger, Exhibits that fit RED, Execution bridge (StatsPAI /… and Checklist, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Red Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions, calibration tables, moment-matching (model-vs-data) tables, policy-experiment figures, and accuracy diagnostics — so a quantitative dynamic paper communicates its mechanism and fit clearly to the SED readership.

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 Research & Science, covering Performance reviews. 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

  • Designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions
  • Calibration tables
  • Moment-matching (model-vs-data) tables
  • Policy-experiment figures

Example prompts

  • “/red-tables-figures”

Workflow steps

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

  1. Mechanism figure: state variables or transition paths that show the dynamic force.
  2. Discipline table: parameters, calibration targets, estimation targets, and sources.
  3. Fit table: targeted and untargeted moments, model vs data.
  4. Counterfactual/experiment: the quantitative result or policy path.
  5. Accuracy/reproducibility note: solver error, convergence, seed, or runtime when computation matters.

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

Red Tables Figures loads about 1.5k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 621 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
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). 621 words, ~1,496 tokens.

Download SKILL.mdSave it as .claude/skills/red-tables-figures/SKILL.md (or your agent's skills folder).
name
red-tables-figures
description
Use when designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions, calibration tables, moment-matching (model-vs-data) tables, policy-experiment figures, and accuracy diagnostics — so a quantitative dynamic paper communicates its mechanism and fit clearly to the SED readership.

Tables & Figures for RED (red-tables-figures)

When to trigger

  • Building the exhibits that carry a quantitative dynamic paper
  • Deciding how to show model-vs-data fit and the mechanism behind a result
  • Making IRFs and policy experiments legible at print resolution

Exhibits that fit RED

RED papers live or die on whether the mechanism and the quantitative fit are visible. Favor:

  • Impulse-response functions (IRFs) — the workhorse figure for dynamic models; plot model responses to the key shocks, overlay alternative parameterizations to isolate the mechanism, and (where relevant) overlay empirical responses.
  • Calibration table — every parameter, value, source/target, and status (calibrated/estimated/assumed), so a reader can audit discipline at a glance.
  • Moment-matching table — targeted and untargeted moments side by side, model vs data; untargeted fit is a credibility highlight, so give it prominence.
  • Policy / counterfactual experiment figures — show the magnitude of the dynamic effect and the transition path, not just steady-state comparisons.
  • Accuracy diagnostics — Euler-equation errors or convergence plots where the computation is non-trivial.

Make each exhibit self-contained: numbered, called out in order, with notes stating the model variant, shock, units, and data source. Author-year citations in notes match RED's reference system.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers. Full map: execution-with-mcp. RED is quantitative macro — mostly structural/calibration, which is outside this causal-inference toolchain; apply the chain to its empirical/reduced-form papers.

  • 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

  • IRFs / transition paths show the mechanism, not just outcomes
  • Calibration and moment tables let a reader audit discipline and fit
  • Untargeted moments are reported, not hidden
  • Every exhibit is self-contained, numbered, and legible at print resolution

Anti-patterns

  • Steady-state-only comparisons that hide the dynamics
  • Moment tables showing only targeted moments
  • Figures with no notes on model variant, shock, or units
Show full SKILL.md (293 more words)Show less

Exhibit sequence

For most RED papers, the exhibit order should mirror the argument:

  1. Mechanism figure: state variables or transition paths that show the dynamic force.
  2. Discipline table: parameters, calibration targets, estimation targets, and sources.
  3. Fit table: targeted and untargeted moments, model vs data.
  4. Counterfactual/experiment: the quantitative result or policy path.
  5. Accuracy/reproducibility note: solver error, convergence, seed, or runtime when computation matters.

If the first exhibit is a static regression table, ask whether the paper is really using RED's dynamic lens or drifting toward a field journal.

Mock moment table (model vs data)

The fit table referees scan first should look like this (all numbers illustrative):

text
Table X: Targeted and untargeted moments
                                     Data    Model   Source
Targeted
  Wealth-to-income ratio             2.90    2.90    NIPA / Flow of Funds
  Share with negative net worth      0.135   0.132   SCF
Untargeted
  Wealth Gini                        0.78    0.74    SCF
  Top-10% wealth share               0.71    0.66    SCF
  Average quarterly MPC              0.16    0.19    literature estimates (author-year)
Notes: model moments from the stationary distribution; simulation of 100,000
households; seed recorded in the archive readme.

The Targeted/Untargeted split must be typographically explicit — a single undifferentiated column invites the circularity objection from quantitative-macro referees.

Exhibit-budget anchor

Hedged anchor (verify against recent RED issues rather than treating it as policy): mainline quantitative papers commonly carry on the order of 4–8 main-text exhibits — typically one mechanism/IRF figure, a calibration table, a fit table, and one or two counterfactual exhibits — with accuracy diagnostics and extended sensitivity in an appendix. Treat that as a budget: each additional main-text exhibit must change what the reader believes about the mechanism or the magnitude.

Figure-craft pushback

Exhibit complaintFix for a dynamics paper
IRFs without units or horizon labelspercent vs pp deviation, quarters vs years, stated on axes and in notes
Counterfactual shown only at the new steady stateadd the transition path — adjustment dynamics are often the contribution
Mechanism overlays illegible in grayscalevary line style, not only color; print-test the PDF
Distributional result collapsed to a meanplot the policy function or the cross-sectional shift; heterogeneity is usually the point

Supplementary resources

© 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 Review-of-Economic-Dynamics-Skills/skills/red-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Red Tables Figures

What does Red Tables Figures do?

A skill your agent uses when designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions, calibration tables, moment-matching (model-vs-data) tables…. Red Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions, calibration tables, moment-matching (model-vs-data) tables, policy-experiment figures, and accuracy diagnostics — so a quantitative dynamic paper communicates its mechanism and fit clearly to the SED readership.

When should I use Red Tables Figures?

Red Tables Figures fits situations like: designing the exhibits of a Review of Economic Dynamics (RED) manuscript — impulse-response functions; calibration tables; moment-matching (model-vs-data) tables; policy-experiment figures.

How do I install Red Tables Figures in Claude Code?

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

How do I install Red Tables Figures in Codex?

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

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

What does Red Tables Figures need to run?

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

Does Red 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 Red 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 Red Tables Figures use?

Red 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 Red 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 Red Tables Figures?

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Who maintains Red 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.