Agent skill

Eursr Data Analysis

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

Install Eursr Data Analysis

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-data-analysis -a claude-code

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-data-analysis --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/European-Sociological-Review-Skills/skills/eursr-data-analysis .claude/skills/eursr-data-analysis && 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/

Paste into Claude Code

Install the "eursr-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-data-analysis into .claude/skills/eursr-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-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

$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-data-analysis

Type 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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-data-analysis -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-data-analysis --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/European-Sociological-Review-Skills/skills/eursr-data-analysis .agents/skills/eursr-data-analysis && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "eursr-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-data-analysis into .agents/skills/eursr-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-data-analysis -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-data-analysis --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/European-Sociological-Review-Skills/skills/eursr-data-analysis .cursor/skills/eursr-data-analysis && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "eursr-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-data-analysis into .cursor/skills/eursr-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-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

$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path European-Sociological-Review-Skills/skills/eursr-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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-data-analysis -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-data-analysis --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/European-Sociological-Review-Skills/skills/eursr-data-analysis .gemini/skills/eursr-data-analysis && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "eursr-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-data-analysis into .gemini/skills/eursr-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-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.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-data-analysis

Installs 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).

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-data-analysis -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/European-Sociological-Review-Skills/skills/eursr-data-analysis .github/skills/eursr-data-analysis && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "eursr-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-data-analysis into .github/skills/eursr-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-data-analysis -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-data-analysis --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/European-Sociological-Review-Skills/skills/eursr-data-analysis .opencode/skills/eursr-data-analysis && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "eursr-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-data-analysis into .opencode/skills/eursr-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-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.

Facts

Skill name: eursr-data-analysis
GitHub stars: 1.2k
Token cost: ~2k tokens
SKILL.md length: 759 words
Files: 1
Skills in repo: 2,387
Repo updated: Sep 27, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 6 steps: Report uncertainty and magnitude, not… → Model the data structure correctly.… → Small macro-N honesty. With ~20-30… → …
Honest uncertainty
SKILL.md covers When to trigger, Analysis norms ESR expects, Reproducibility while you work and What an ESR analyst-reviewer…, plus 7 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Eursr Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing and reporting the analysis for a European Sociological Review (ESR) manuscript so it survives expert double-blind review — correct multilevel and longitudinal modeling, honest uncertainty, robustness, and small-macro-N inference on comparative survey or register data. Guides analysis norms; it does not fabricate results.

Its SKILL.md is about 2k 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. 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

Honest uncertainty
Small-macro-N inference on comparative survey

Example prompts

“/eursr-data-analysis”

Workflow steps

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

Report uncertainty and magnitude, not just significance — confidence intervals and substantive
Model the data structure correctly. Multilevel data → random effects or cluster-robust /
Small macro-N honesty. With ~20-30 countries, country-level SEs are fragile: too few clusters
Robustness that probes, not decorates. Alternative measures, samples, codings, and estimators
Heterogeneity with discipline. Pre-specify or justify subgroups and cross-level interactions;
Measurement. Validate latent constructs (CFA, reliability) and, for comparison, report the

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

Eursr Data Analysis loads about 2k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 759 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~90
When it runs · the whole SKILL.md, loaded when a task matches: ~2k

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). 759 words, ~1,995 tokens.

Download SKILL.mdSave it as .claude/skills/eursr-data-analysis/SKILL.md (or your agent's skills folder).

name: eursr-data-analysis
description: Use when executing and reporting the analysis for a European Sociological Review (ESR) manuscript so it survives expert double-blind review — correct multilevel and longitudinal modeling, honest uncertainty, robustness, and small-macro-N inference on comparative survey or register data. Guides analysis norms; it does not fabricate results.

Data Analysis (eursr-data-analysis)

ESR reviewers are quantitatively demanding and comparative by instinct. Whether your evidence is multilevel coefficients, hazard ratios, growth trajectories, or decompositions, the analysis must be transparent, correctly specified for the data structure, and reproducible. Design decisions live in eursr-research-design; the replication package lives in eursr-transparency-and-data.

When to trigger

Running main and supporting analyses; building the results section
A reviewer asked for robustness, the right clustering/level, heterogeneity, or alternative specifications
Reporting cross-level interactions or country-level effects from few clusters
Making the analysis reproducible before depositing materials

Analysis norms ESR expects

Report uncertainty and magnitude, not just significance — confidence intervals and substantive effect sizes (predicted probabilities, marginal effects), respecting survey design (weights, clustering, strata; design-based SEs).
Model the data structure correctly. Multilevel data → random effects or cluster-robust / country fixed effects with the right level; panel data → within estimators matched to the quantity; durations → event-history with correct risk set and time scale.
Small macro-N honesty. With ~20-30 countries, country-level SEs are fragile: too few clusters bias cluster-robust SEs, and a single cross-level interaction can rest on a handful of higher-level units. Use df-appropriate methods (e.g., Satterthwaite/Kenward-Roger df, wild cluster bootstrap, or a Bayesian multilevel model) and do not over-interpret macro coefficients.
Robustness that probes, not decorates. Alternative measures, samples, codings, and estimators that could break the result; report what you learn, not just that it "holds."
Heterogeneity with discipline. Pre-specify or justify subgroups and cross-level interactions; adjust for multiple comparisons; do not mine an interaction and theorize it post hoc.
Measurement. Validate latent constructs (CFA, reliability) and, for comparison, report the invariance level reached and what it licenses.

Reproducibility while you work

One master script regenerates every table/figure from the (constructed) data.
Set and report seeds for any stochastic step (imputation, bootstrap, MCMC).
Pin software/package versions (renv.lock, requirements.txt, recorded ssc/net installs).
Keep the harmonization/recoding code (ISCED/CASMIN, ISCO/ISEI/EGP) auditable — reviewers check it.

What an ESR analyst-reviewer is checking

Reviewer probe	Clears the ESR bar	Triggers a revision flag
"Right level / clustering?"	SEs at the correct level; df-aware macro inference	individual SEs on a country-level claim
"Just a significant coefficient?"	marginal effect + interval tied to the mechanism	stars-only, no interpretation
"Few clusters handled?"	wild bootstrap / Bayesian / df correction	naive cluster SEs on ~20 countries
"Measures comparable?"	invariance reported; partial invariance bounded	latent comparison with no invariance test
"Heterogeneity real or mined?"	pre-specified / MHT-adjusted	one fished cross-level interaction

Worked micro-example (illustrative numbers)

A hypothetical ESR study links active labor-market policy (macro) to unemployment scarring (micro) across 24 countries with harmonized panel data.

Main effect: a past spell lowers later wages 6.1% (95% CI 4.0–8.2), within-person fixed effects
Cross-level interaction: scar is 3.4 pp smaller per 1 SD of activation spending (CI 1.1–5.7) —
  the macro × micro hypothesis from eursr-theory-building
Few-cluster inference: wild cluster bootstrap (countries), p = 0.012; macro claim kept modest (24 df)
Robustness: holds dropping any one country (leave-one-out), and under register- vs survey-measured wages
Reproducible: one master script, seed = 2026, renv.lock pinned; harmonization code archived

The interval carries the micro claim, the cross-level term names the portable mechanism, and the few-cluster inference is handled honestly rather than asserted.

Show full SKILL.md (311 more words)Show less

Referee pushback → ESR-specific fix

"Your country-level SEs are too optimistic." → Re-estimate with a wild cluster bootstrap or a Bayesian multilevel model; report the df and temper the macro claim.
"Robustness agrees by construction." → Add a spec that could break it (alternative harmonization, leave-one-country-out, placebo period) and report what you learned.
"Significant but does it matter?" → Give a predicted-probability or marginal-effect scenario and name what changes for the comparative debate.

Calibration anchors

Get the level right or nothing else counts. ESR's signature error is mismatched SEs/clustering on a multilevel or comparative claim — fix the variance structure first.
Few clusters demand humility. ~20-30 countries cannot support strong macro-level inference with naive SEs; df-aware methods and modest claims are expected.
Magnitude over significance. Report marginal effects and intervals a comparative reader can interpret, not stars.

Execution bridge (StatsPAI / Stata MCP)

Run the battery, don't just enumerate it. Full map: execution-with-mcp. ESR is comparative quantitative sociology; cross-country panels with confounded institutions — foreground fixed effects and clustering.

Many outcomes / specifications: romano_wolf (step-down FWER) or benjamini_hochberg — report the adjusted threshold.
OVB sensitivity: oster_delta / sensemakr.
Inference: wild_cluster_bootstrap (few clusters), twoway_cluster / conley; multilevel data → cluster at the right level.
Re-fit off one handle: audit_result(result_id) lists the missing checks and the exact suggest_function for each.
Exhibits: etable / did_summary_to_latex from the handle — no retyped numbers.

Keep the decisive checks in the body and the exhaustive battery in the supplement. See the executed chain in the JF execution walkthrough.

Anti-patterns

Individual-level SEs on a country-level coefficient; naive cluster SEs on ~20 countries
Stars-only tables with no effect sizes or intervals; ignoring survey weights
"Robustness" that only reruns near-identical specs to manufacture stability
p-hacking / HARKing an exploratory cross-level interaction into a hypothesis
Latent cross-national comparisons reported without an invariance check

Output format

【Main result】marginal effect + interval
【Data structure handled】level / clustering / panel estimator correct? [Y/N]
【Cross-level / macro inference】few-cluster method + df honest? [Y/N]
【Robustness】what held (incl. leave-one-country-out)
【Reproducible】master script + seeds + pinned versions + harmonization code? [Y/N]
【Next】eursr-tables-figures

Supplementary resources

../../resources/external_tools.md — multilevel, event-history, SEM, and decomposition packages
../../resources/code/ — reproducible estimation skeleton (DiD/IV/RDD/DML + robustness)
../../resources/official-source-map.md — ESR replication and reporting norms

Files

Just SKILL.md in European-Sociological-Review-Skills/skills/eursr-data-analysis of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Eursr 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.

Eursr Data Analysis compared with similar skills
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Pandas ProJeffallan/claude-skills	12k	1 repos	~1.5k	Automated safety check: Pass	MIT	6 days ago
Python Executorcortega26/chile-hub	113	2 repos	~1.5k	Automated safety check: Pass	MIT	today

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Questions about Eursr Data Analysis

What does Eursr Data Analysis do?

A skill your agent uses when executing and reporting the analysis for a European Sociological Review (ESR) manuscript so it survives expert double-blind review — correct multilevel and longitudinal…. Eursr Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing and reporting the analysis for a European Sociological Review (ESR) manuscript so it survives expert double-blind review — correct multilevel and longitudinal modeling, honest uncertainty, robustness, and small-macro-N inference on comparative survey or register data.

When should I use Eursr Data Analysis?

Eursr Data Analysis fits situations like: honest uncertainty; small-macro-N inference on comparative survey.

How do I install Eursr Data Analysis in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-data-analysis -a claude-code`. Or copy the skill folder (European-Sociological-Review-Skills/skills/eursr-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/eursr-data-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Eursr Data Analysis in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-data-analysis -a codex`. Or copy the skill folder (European-Sociological-Review-Skills/skills/eursr-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/eursr-data-analysis in your project. Codex loads it when a task matches its description.

Can I use Eursr Data Analysis 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 eursr-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/eursr-data-analysis, .gemini/skills/eursr-data-analysis, .github/skills/eursr-data-analysis and .opencode/skills/eursr-data-analysis in your project.

What does Eursr Data Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Eursr Data Analysis is instructions for the agent only.

Does Eursr Data Analysis 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 Eursr Data Analysis 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 Eursr Data Analysis use?

Eursr 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.

How many tokens does Eursr Data Analysis use?

About 2k tokens (SKILL.md is roughly 8k 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 Eursr Data Analysis?

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Who maintains Eursr Data Analysis?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.

Install Eursr Data Analysis

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Data Analysis (eursr-data-analysis)

When to trigger

Analysis norms ESR expects

Reproducibility while you work

What an ESR analyst-reviewer is checking

Worked micro-example (illustrative numbers)

Referee pushback → ESR-specific fix

Calibration anchors

Execution bridge (StatsPAI / Stata MCP)

Anti-patterns

Output format

Supplementary resources

Files

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