A skill your agent uses when designing or auditing The Econometrics Journal (EctJ) Monte Carlo simulations, empirical applications, estimator comparisons, robustness checks, computation, seeds, and…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectj-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ectj-data-analysis --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/The-Econometrics-Journal-Skills/skills/ectj-data-analysis .claude/skills/ectj-data-analysis && 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 "ectj-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-data-analysis into .claude/skills/ectj-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-data-analysis", 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/The-Econometrics-Journal-Skills/skills/ectj-data-analysisType 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 ectj-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ectj-data-analysis --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/The-Econometrics-Journal-Skills/skills/ectj-data-analysis .agents/skills/ectj-data-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ectj-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-data-analysis into .agents/skills/ectj-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-data-analysis", 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 ectj-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ectj-data-analysis --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/The-Econometrics-Journal-Skills/skills/ectj-data-analysis .cursor/skills/ectj-data-analysis && 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 "ectj-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-data-analysis into .cursor/skills/ectj-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-data-analysis", 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 The-Econometrics-Journal-Skills/skills/ectj-data-analysis--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 ectj-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ectj-data-analysis --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/The-Econometrics-Journal-Skills/skills/ectj-data-analysis .gemini/skills/ectj-data-analysis && 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 "ectj-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-data-analysis into .gemini/skills/ectj-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-data-analysis", 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 ectj-data-analysisInstalls 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 ectj-data-analysis -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/The-Econometrics-Journal-Skills/skills/ectj-data-analysis .github/skills/ectj-data-analysis && 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 "ectj-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-data-analysis into .github/skills/ectj-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-data-analysis", 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 ectj-data-analysis -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 ectj-data-analysis --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/The-Econometrics-Journal-Skills/skills/ectj-data-analysis .opencode/skills/ectj-data-analysis && 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 "ectj-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-data-analysis into .opencode/skills/ectj-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-data-analysis", 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.
ectj-data-analysisA skill your agent uses when designing or auditing The Econometrics Journal (EctJ) Monte Carlo simulations, empirical applications, estimator comparisons, robustness checks, computation, seeds, and…
Ectj Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing The Econometrics Journal (EctJ) Monte Carlo simulations, empirical applications, estimator comparisons, robustness checks, computation, seeds, and applied-value evidence.
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 Econometrics and empirical research and Data analysis. 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.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ectj Data Analysis loads about 1.5k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 686 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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 686 words, ~1,458 tokens.
.claude/skills/ectj-data-analysis/SKILL.md (or your agent's skills folder).Use this when the method has to prove both statistical behavior and empirical usefulness.
Before drafting results, create a one-page map with these rows:
The main text should report only the rows that teach the reader why the method works and when it fails. Full grids belong in the supplement or replication package.
Track every reported number in a ledger:
| Manuscript item | Script | Seed/config | Output path | Runtime |
|---|---|---|---|---|
| Table/Figure X | ... | ... | ... | ... |
Use the ledger to decide what must be in the main replication path and what can remain optional.
EctJ referees read Monte Carlo sections as tests of the theory, and RES guidance caps the main-text simulation summary near one page, so every theoretical claim needs exactly one matching finite-sample exhibit:
| Theoretical claim | Required Monte Carlo evidence | Typical display |
|---|---|---|
| Asymptotic normality | Coverage of nominal 95% intervals across n | Coverage row per sample size |
| Size control of a test | Null rejection rates near 5% at the relevant boundary | Size table with nominal level in header |
| Local power gain | Power against the incumbent under drifting alternatives | One power figure |
| Rate or bias reduction | Bias and RMSE relative to the strongest competitor | Compact bias/RMSE panel |
| Tuning robustness | Behavior across bandwidth or penalty choices used in practice | Supplement grid, one-line main-text summary |
A theorem with no matching row invites the classic EctJ objection that the asymptotics carry no finite-sample evidence; a simulation with no matching theorem is decoration to cut.
The other classic objection is a simulation design detached from the empirical illustration. Fix it by calibration (illustrative numbers): if the application is a firm panel with N=180, T=12, and residual serial correlation around 0.6, the core DGP should be N=200, T=12 with AR(1) errors at rho in {0, 0.3, 0.6}, not an i.i.d. cross-section with n=10,000. State in the simulation preamble which DGP parameters were estimated from the application data and which probe theoretical boundaries. One calibrated design plus one boundary design beats six arbitrary grids at this venue, and the pairing lets the empirical section reuse the simulation's vocabulary when it explains why the new procedure changes the applied conclusion.
Run the battery, don't just enumerate it. Full map:
execution-with-mcp. The Econometrics Journal is a methods venue — estimator validity + simulation; pair estimates with diagnostics.
romano_wolf (step-down FWER) or benjamini_hochberg.oster_delta / sensemakr.wild_cluster_bootstrap (few clusters), twoway_cluster / conley.audit_result(result_id) lists missing checks + the exact
suggest_function for each.etable / did_summary_to_latex from the handle — no retyped numbers.Decisive checks in the body, exhaustive battery in the appendix. JF execution walkthrough.
[Evidence readiness] strong / adequate / weak
[Monte Carlo role] <theory validation or stress test>
[Empirical application role] <applied-value demonstration>
[Missing baseline or diagnostic] <item>
[Next analysis] <single run or table>© 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
Just SKILL.md in The-Econometrics-Journal-Skills/skills/ectj-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Ectj Data Analysis 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 |
|---|---|---|---|---|---|---|
| Ectj Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Ectheory Data Analysisfranklee16/academic-research-skills | 223 | 1 repos | ~905 | Automated safety check: Pass | None | |
| Mgsci Methodsfranklee16/academic-research-skills | 223 | 1 repos | ~1.1k | Automated safety check: Pass | None | |
| Mksc Methodsfranklee16/academic-research-skills | 223 | 1 repos | ~1.1k | Automated safety check: Pass | None | |
| Mksc Theory Developmentfranklee16/academic-research-skills | 223 | 1 repos | ~932 | Automated safety check: Pass | None | |
| Two Sample Mr Exposure Screening Reference Groundedaipoch/medical-research-skills | 2k | — | ~4.5k | Automated safety check: Pass | MIT |
franklee16/academic-research-skills
A skill your agent uses for the Monte Carlo and numerical-illustration component of an Econometric Theory (ET) paper — designing simulations that show finite-sample behavior tracks the asymptotics…
franklee16/academic-research-skills
A skill your agent uses when choosing and defending the method for a Management Science (INFORMS) manuscript — selecting an analytical modeling approach (optimization, stochastic, game/economic…
franklee16/academic-research-skills
A skill your agent uses when the empirical/analytical approach is the bottleneck for a Marketing Science manuscript — choosing among structural econometrics, analytical modeling, and…
franklee16/academic-research-skills
A skill your agent uses when building the formal model for a Marketing Science manuscript — turning a marketing phenomenon into an analytical (game-theoretic) model or a structural econometric model…
aipoch/medical-research-skills
Generates complete two-sample Mendelian randomization research designs from a user-provided outcome, exposure or exposure family, and robustness direction.
GPTomics/bioSkills
End-to-end post-GWAS causal inference pipeline orchestrating heritability partitioning, genetic correlation, Mendelian randomization with CHP-aware sensitivity (CAUSE / LHC-MR), colocalization…
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…
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…
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…
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…
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…
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…
Categories
A skill your agent uses when designing or auditing The Econometrics Journal (EctJ) Monte Carlo simulations, empirical applications, estimator comparisons, robustness checks, computation, seeds, and…. Ectj Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing The Econometrics Journal (EctJ) Monte Carlo simulations, empirical applications, estimator comparisons, robustness checks, computation, seeds, and applied-value evidence.
Ectj Data Analysis fits situations like: auditing The Econometrics Journal (EctJ) Monte Carlo simulations; empirical applications; estimator comparisons; robustness checks.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectj-data-analysis -a claude-code`. Or copy the skill folder (The-Econometrics-Journal-Skills/skills/ectj-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ectj-data-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectj-data-analysis -a codex`. Or copy the skill folder (The-Econometrics-Journal-Skills/skills/ectj-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ectj-data-analysis in your project. Codex loads it when a task matches its description.
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 ectj-data-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ectj-data-analysis, .gemini/skills/ectj-data-analysis, .github/skills/ectj-data-analysis and .opencode/skills/ectj-data-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Ectj Data Analysis is instructions for the agent only.
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.
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.
Ectj Data Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ectj Data Analysis: Ectheory Data Analysis (franklee16/academic-research-skills, 223 stars), Mgsci Methods (franklee16/academic-research-skills, 223 stars), Mksc Methods (franklee16/academic-research-skills, 223 stars) and Mksc Theory Development (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.
