Statistical Power
spacering-net/codeg
Sample-size and statistical power calculations for planning studies.
A skill your agent uses when building or revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table or figure in AEA/REStat…
Install Restat Tables Figures
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-tables-figures -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-tables-figures --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-Economics-and-Statistics-Skills/skills/restat-tables-figures .claude/skills/restat-tables-figures && rm -rf skills-srcUse ~/.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/
Install the "restat-tables-figures" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures into .claude/skills/restat-tables-figures/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-tables-figures", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figuresType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-tables-figures -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-tables-figures --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures .agents/skills/restat-tables-figures && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "restat-tables-figures" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures into .agents/skills/restat-tables-figures/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-tables-figures", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-tables-figures -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-tables-figures --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures .cursor/skills/restat-tables-figures && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "restat-tables-figures" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures into .cursor/skills/restat-tables-figures/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-tables-figures", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-tables-figures -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-tables-figures --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures .gemini/skills/restat-tables-figures && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "restat-tables-figures" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures into .gemini/skills/restat-tables-figures/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-tables-figures", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-tables-figuresInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-tables-figures -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures .github/skills/restat-tables-figures && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "restat-tables-figures" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures into .github/skills/restat-tables-figures/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-tables-figures", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-tables-figures -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills restat-tables-figures --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures .opencode/skills/restat-tables-figures && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "restat-tables-figures" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures into .opencode/skills/restat-tables-figures/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "restat-tables-figures", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
restat-tables-figures- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 676 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when building or revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table or figure in AEA/REStat…
- Revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table
- SKILL.md covers When to trigger, The REStat exhibit bar, Exhibit design rules and Which exhibit for which design, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Figure in AEA/REStat house style
What it does
Restat Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building or revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table or figure in AEA/REStat house style. Designs publication-grade exhibits; it does not run the underlying estimation.
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. 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
- Revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table
- Figure in AEA/REStat house style
Example prompts
- “/restat-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
Restat Tables Figures loads about 1.5k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 676 words of instructions outside code blocks.
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). 676 words, ~1,477 tokens.
Download SKILL.mdSave it as
.claude/skills/restat-tables-figures/SKILL.md (or your agent's skills folder).- name
- restat-tables-figures
- description
- Use when building or revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table or figure in AEA/REStat house style. Designs publication-grade exhibits; it does not run the underlying estimation.
Tables & Figures (restat-tables-figures)
When to trigger
- The main result is buried across several dense tables instead of one clear exhibit
- Tables lack self-contained notes (a reader must hunt the text for the spec)
- Figures are decorative rather than load-bearing, or omit uncertainty
- You are preparing exhibits for the online appendix vs the main paper
The REStat exhibit bar
A REStat reader should grasp the headline estimate from one main exhibit — a table or, increasingly, an event-study / RD / coefficient-stability figure with a confidence band. REStat follows standard economics house style: significance stars are permitted, but standard errors are expected in parentheses and the exhibit must stand on its own. Every table and figure carries a self-contained note stating the sample, the specification, the unit of observation, the inference (clustering level), and what the reader should take away. The main paper is self-contained; supporting detail goes to the online appendix (≤20 pages; source map refreshed 2026-06-20).
Exhibit design rules
| Element | REStat-compliant practice |
|---|---|
| Headline result | One main table or one figure a reader can read in 30 seconds |
| Standard errors | In parentheses below coefficients; clustering stated in the note |
| Significance | Stars allowed, but never instead of SEs; report the SE always |
| Notes | Self-contained: sample, spec, unit, N, inference, source |
| Figures | Load-bearing (event study with leads, RD plot, coefficient stability) with CIs/bands |
| Decimals | Consistent, sensible precision; no spurious digits |
| Appendix | Robustness and construction detail → online appendix (≤20 pp); main paper self-contained |
| Reproducibility | Every number traces to a script in the Harvard Dataverse package (restat-replication-package) |
Which exhibit for which design
- DID / event study: an event-study plot with leads and lags and a confidence band is often the single most persuasive exhibit — flat pre-trends visible at a glance.
- RD: a binned scatter with the fitted polynomials and the discontinuity, plus the estimate table with bandwidth/robust CIs.
- IV / shift-share: a first-stage table or figure alongside the structural estimate; do not hide a weak first stage.
- Measurement papers: a validation figure (new measure vs benchmark) earns its place as a main exhibit.
Execution bridge (StatsPAI / Stata MCP)
Generate exhibits from the fitted result, not by retyping numbers. Full map:
execution-with-mcp. REStat is applied econometrics/empirical micro — the home of careful identification; DiD/IV/RDD with weak-IV-robust CIs.
- Tables:
etable(multi-model) ordid_summary_to_latexstraight from theresult_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.
Show full SKILL.md (265 more words)Show less
Checklist
- The headline estimate is legible from ONE main exhibit
- Standard errors in parentheses; clustering level stated in the note
- Stars (if used) accompany, never replace, standard errors
- Every table/figure note is self-contained (sample, spec, unit, N, inference, source)
- Figures are load-bearing and carry uncertainty (CIs / bands)
- Main paper self-contained; supporting exhibits moved to online appendix (≤20 pp)
- Every reported number is reproducible from the deposited code
Anti-patterns
- A wall of coefficients with no single readable headline exhibit
- Stars with no standard errors (REStat expects the SE shown)
- Table notes that force the reader back into the text to learn the specification
- Decorative figures without confidence bands or a clear takeaway
- Overstuffed main paper that should have pushed detail to the online appendix
- Exhibit numbers that do not match what the deposited script regenerates
Worked vignette: one figure carrying the paper (illustrative)
A staggered-DID paper had its main result spread over three tables: a TWFE column, a Callaway–Sant'Anna column, and a robustness table. A REStat editor wanted to see the identification at a glance. The fix collapsed the headline into a single event-study figure — event-time on the x-axis, the estimated effect with a 95% confidence band on the y-axis, leads visibly flat and centered on zero, lags showing the dynamic effect. The accompanying table kept only the pooled post estimate with its SE and clustering note. A reader now sees parallel-trends support and the effect in one exhibit; the three old tables moved to the online appendix. Self-contained note states sample, estimator, unit, N, and clustering — nothing to hunt for in the text.
Output format
【Headline exhibit】Table/Figure [n]: [what it shows in one line]
【SE + inference】SEs in parentheses; clustering at [level]; stars: [used/not]
【Figure load-bearing?】[event-study / RD plot / validation / coef-stability] with CIs? [Y/N]
【Notes self-contained?】sample/spec/unit/N/inference/source present? [Y/N]
【Main vs appendix】main exhibits: [...]; online appendix (≤20pp): [...]
【Reproducible?】each number ← script in Dataverse package? [Y/N]
【Next step】restat-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 Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Restat 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Restat Tables Figures this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Statistical Data Analysislingzhi227/agent-research-skills | 390 | — | ~886 | Automated safety check: Pass | None | |
| Q-EDA Exploratory AnalysisTyrealQ/q-skills | 108 | — | ~1.1k | Automated safety check: Pass | MIT | |
| RoundingRConsortium/pharma-skills | 120 | — | ~3.8k | Automated safety check: Pass | MIT | |
| PyMC Bayesian Modelingdavila7/claude-code-templates | 33k | 11 repos | ~3.9k | Automated safety check: Pass | MIT |
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Statistical Data Analysis
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Q-EDA Exploratory Analysis
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Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary.
Rounding
RConsortium/pharma-skills
Audit R code that prepares CSR/TLF statistics for SAS-compatible rounding compliance (ties away from zero, round-once-at-display, fixed trailing-zero precision).
PyMC Bayesian Modeling
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Builds, fits, checks and compares Bayesian models in PyMC, from priors and NUTS sampling to variational inference, LOO and WAIC comparison, and diagnostics.
Dnasp
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Population genetics of pre-aligned DNA sequences or multi-sample VCFs using selected DnaSP 6 methods.
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Categories
Questions about Restat Tables Figures
What does Restat Tables Figures do?
A skill your agent uses when building or revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table or figure in AEA/REStat…. Restat Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building or revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table or figure in AEA/REStat house style.
When should I use Restat Tables Figures?
Restat Tables Figures fits situations like: revising the exhibits of a The Review of Economics and Statistics (REStat) manuscript so the main result is legible in one table; figure in AEA/REStat house style.
How do I install Restat Tables Figures in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-tables-figures -a claude-code`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/restat-tables-figures in your project. Claude Code loads it when a task matches its description.
How do I install Restat Tables Figures in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restat-tables-figures -a codex`. Or copy the skill folder (Review-of-Economics-and-Statistics-Skills/skills/restat-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/restat-tables-figures in your project. Codex loads it when a task matches its description.
Can I use Restat 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 restat-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/restat-tables-figures, .gemini/skills/restat-tables-figures, .github/skills/restat-tables-figures and .opencode/skills/restat-tables-figures in your project.
What does Restat Tables Figures need to run?
SKILL.md names no scripts, command-line tools or credentials: Restat Tables Figures is instructions for the agent only.
Does Restat 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 Restat 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 Restat Tables Figures use?
Restat 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 Restat Tables Figures use?
About 1.5k tokens (SKILL.md is roughly 5.9k 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 Restat Tables Figures?
Skills that share tags, products or a category with Restat Tables Figures: Statistical Power (spacering-net/codeg, 3.9k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars) and Rounding (RConsortium/pharma-skills, 120 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Restat 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.