Stata
dylantmoore/stata-skill
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community packages (reghdfe, estout, did, rdrobust…
A skill your agent uses when defending the research design of a European Sociological Review (ESR) manuscript — comparative cross-national designs, panel/longitudinal and event-history designs…
Install Eursr Research Design
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-research-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-research-design --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/European-Sociological-Review-Skills/skills/eursr-research-design .claude/skills/eursr-research-design && 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 "eursr-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-research-design into .claude/skills/eursr-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-research-design", 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/European-Sociological-Review-Skills/skills/eursr-research-designType 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 eursr-research-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-research-design --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/European-Sociological-Review-Skills/skills/eursr-research-design .agents/skills/eursr-research-design && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "eursr-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-research-design into .agents/skills/eursr-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-research-design", 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 eursr-research-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-research-design --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/European-Sociological-Review-Skills/skills/eursr-research-design .cursor/skills/eursr-research-design && 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 "eursr-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-research-design into .cursor/skills/eursr-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-research-design", 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 European-Sociological-Review-Skills/skills/eursr-research-design--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 eursr-research-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eursr-research-design --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/European-Sociological-Review-Skills/skills/eursr-research-design .gemini/skills/eursr-research-design && 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 "eursr-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-research-design into .gemini/skills/eursr-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-research-design", 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 eursr-research-designInstalls 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 eursr-research-design -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/European-Sociological-Review-Skills/skills/eursr-research-design .github/skills/eursr-research-design && 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 "eursr-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-research-design into .github/skills/eursr-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-research-design", 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 eursr-research-design -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 eursr-research-design --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/European-Sociological-Review-Skills/skills/eursr-research-design .opencode/skills/eursr-research-design && 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 "eursr-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Sociological-Review-Skills/skills/eursr-research-design into .opencode/skills/eursr-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eursr-research-design", 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-research-design- GitHub stars
- 1.2k
- Token cost
- ~2k tokens
- SKILL.md length
- 748 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when defending the research design of a European Sociological Review (ESR) manuscript — comparative cross-national designs, panel/longitudinal and event-history designs…
- Defending the research design of a European Sociological Review (ESR) manuscript — comparative cross-national designs
- SKILL.md covers When to trigger, Comparative / cross-national, Panel / longitudinal /… and Causal inference where feasible, plus 10 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Panel/longitudinal and event-history designs
What it does
Eursr Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of a European Sociological Review (ESR) manuscript — comparative cross-national designs, panel/longitudinal and event-history designs, multilevel structures, and causal inference where feasible on harmonized survey or register data. ESR judges whether the design lets the comparison or panel identify the mechanism. Strengthens the design; it does not write code.
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 Research & Science, covering Econometrics and empirical research. 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
- Defending the research design of a European Sociological Review (ESR) manuscript — comparative cross-national designs
- Panel/longitudinal and event-history designs
- Multilevel structures
- Causal inference where feasible on harmonized survey
Example prompts
- “/eursr-research-design”
Requirements
- Python 3
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 Research Design loads about 2k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 748 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). 748 words, ~2,017 tokens.
Download SKILL.mdSave it as
.claude/skills/eursr-research-design/SKILL.md (or your agent's skills folder).- name
- eursr-research-design
- description
- Use when defending the research design of a European Sociological Review (ESR) manuscript — comparative cross-national designs, panel/longitudinal and event-history designs, multilevel structures, and causal inference where feasible on harmonized survey or register data. ESR judges whether the design lets the comparison or panel identify the mechanism. Strengthens the design; it does not write code.
Research Design (eursr-research-design)
ESR is a quantitative journal exacting about whether the comparative or longitudinal design actually
identifies the mechanism from eursr-theory-building and rules out the leading confound. The design
must connect the cross-level hypothesis to evidence that a single cross-section could not provide.
When to trigger
- Specifying the comparative frame, the panel structure, sampling, or the identification strategy
- A reviewer questioned causal claims, generalization, selection, measurement comparability, or a confound
- Justifying why your design adjudicates the rival account from
eursr-literature-positioning
Comparative / cross-national
- Justify the country set by design logic (institutional contrast, regime types, most/least-similar), not by data availability alone; say what variation each context contributes.
- Measurement equivalence is the first reviewer demand: establish that constructs mean the same across countries (configural/metric/scalar invariance for latent scales; harmonized coding for education via ISCED/CASMIN, occupation via ISCO/ISEI/EGP).
- Macro N is small. With ~20-30 countries, country-level effects rest on few degrees of freedom —
design the macro hypothesis so it does not over-claim from a handful of clusters (see
eursr-data-analysis).
Panel / longitudinal / event-history
- State what the panel buys. Within-person change (fixed effects), duration/timing (event history), or growth (latent growth) — match the estimator to the theoretical quantity.
- Attrition and selection into and out of the panel must be addressed (weights, IPW, sensitivity).
- For staggered policy exposure, use heterogeneity-robust DiD (Callaway-Sant'Anna, Sun-Abraham, Borusyak et al.), not naive TWFE.
Causal inference where feasible
- Much of ESR is observational; distinguish description, association, and causation honestly. If causal, state the assumptions (ignorability, parallel trends, exclusion) and defend them; report a sensitivity bound (how strong an unobserved confounder would have to be).
Multilevel / SEM
- Specify the level structure (individuals in countries/regions/cohorts), the random effects, and why a multilevel model is warranted; for measurement, build the latent model before the structural one.
The adjudication test (ESR-specific)
For the single strongest rival explanation: "If the rival were true rather than my argument, the cross-national (or over-time) pattern would look like ___; instead it looks like ___." If you cannot write it, the comparative/panel design does not yet identify the contribution.
What ESR referees demand of each design
| Design | Referee's first demand | Satisfying move |
|---|---|---|
| Comparative cross-national | "Are the measures equivalent?" | invariance / harmonized coding; justified country set |
| Panel / fixed-effects | "What does within-person change identify?" | match estimator to the quantity; handle attrition |
| Event history | "Right risk set and time scale?" | defined onset, censoring, time-varying covariates |
| Causal (DiD/IV/RDD) | "Assumption defended?" | state + test the assumption; sensitivity bound |
| Multilevel / SEM | "Enough clusters; measurement first?" | macro df honesty; fit the latent model before structure |
Worked micro-example (illustrative)
A comparative study argues that vocational specificity smooths the school-to-work transition.
Country set: most-different welfare/training regimes (e.g., dual-system vs. general-education systems),
chosen for institutional contrast, not convenience
Measurement: education harmonized via ISCED; vocational specificity coded from program-level data
Design: cross-national + cohort variation; cross-level interaction (specificity × individual track)
Disconfirming pattern sought: if signaling (not skills) drove it, the advantage would vanish once firms
learn quality → instead it persists across the early career, as the specificity argument predicts
Macro-N caution: ~24 countries → country-level claim kept modest; SEs / df handled in data-analysisThe country set is design-driven, the measures are comparable, and the design specifies what pattern would falsify the argument.
Show full SKILL.md (302 more words)Show less
Referee pushback → ESR-specific fix
- "Measures aren't comparable across countries." → Test invariance; report partial invariance and what it permits; use harmonized coding schemes.
- "You infer too much from ~20 countries." → Re-state the macro claim modestly; use df-appropriate
inference (see
eursr-data-analysis). - "Association dressed as causation." → Restate what the design identifies; add a sensitivity bound or placebo; drop causal verbs you cannot defend.
Calibration anchors
- Measurement equivalence is the comparative gate. A cross-national claim built on non-equivalent scales is the most common fatal design flaw at ESR.
- The adjudication sentence is the test. If you can't write "if the rival were true the pattern would look like ___," the comparison/panel does not yet earn the contribution.
- Identification honesty travels. Stating plainly what observational European data can and cannot establish reads as strength to a quantitative panel.
Execution bridge (StatsPAI / Stata MCP)
Estimate and audit the design, don't only describe it. Full map:
execution-with-mcp. ESR is comparative quantitative sociology; cross-country panels with confounded institutions — foreground fixed effects and clustering.
detect_design→recommend→ fit withas_handle=true→audit_result.- Observational causal claims: staggered DiD (
callaway_santanna/sun_abraham+bacon_decomposition+honest_did_from_result); IV (effective_f_test+anderson_rubin_ci); RDD (rdrobust+mccrary_test). - Experiments: randomization-based inference,
romano_wolffor many-outcome family-wise control, andmediatefor mediation (not naive controlling-away). - Sensitivity:
oster_delta/sensemakrfor observational claims.
Report the effect size in interpretable units; route the full battery to the appendix/supplement. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.
Anti-patterns
- A country set chosen by data availability and dressed up as theory-driven
- Cross-national latent comparisons with no measurement-invariance check
- Over-claiming country-level effects from a handful of clusters
- Naive TWFE on staggered policy timing; ignoring panel attrition
- A design that cannot distinguish your mechanism from the leading alternative
Output format
【Design】comparative / panel / event-history / causal / multilevel-SEM
【What it identifies】description / association / causation
【Comparability / assumption】invariance or key assumption + how defended
【Rival ruled out】the adjudication sentence
【Macro-N / attrition / sensitivity】planned
【Next】eursr-data-analysisSupplementary resources
../../resources/external_tools.md— multilevel / SEM / event-history / DiD tooling../../resources/code/— reproducible Stata + Python causal-inference skeleton (DiD/IV/RDD/DML)../../resources/official-source-map.md— ESR methodological expectations
© 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 European-Sociological-Review-Skills/skills/eursr-research-design of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Eursr Research Design 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 |
|---|---|---|---|---|---|---|
| Eursr Research Design this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~2k | Automated safety check: Pass | MIT | |
| Statadylantmoore/stata-skill | 291 | 1 repos | ~4.2k | Automated safety check: Pass | Custom licence | |
| Stata C Pluginsdylantmoore/stata-skill | 291 | 1 repos | ~5.8k | Automated safety check: Pass | Custom licence | |
| Example Datasetspymc-labs/CausalPy | 1.2k | — | ~587 | Automated safety check: Pass | Apache-2.0 | |
| Stata AuditSepineTam/mcp-for-stata | 264 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Stata Skill Contributordylantmoore/stata-skill | 291 | 1 repos | ~2.4k | Automated safety check: Pass | Custom licence |
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Questions about Eursr Research Design
What does Eursr Research Design do?
A skill your agent uses when defending the research design of a European Sociological Review (ESR) manuscript — comparative cross-national designs, panel/longitudinal and event-history designs…. Eursr Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of a European Sociological Review (ESR) manuscript — comparative cross-national designs, panel/longitudinal and event-history designs, multilevel structures, and causal inference where feasible on harmonized survey or register data.
When should I use Eursr Research Design?
Eursr Research Design fits situations like: defending the research design of a European Sociological Review (ESR) manuscript — comparative cross-national designs; panel/longitudinal and event-history designs; multilevel structures; causal inference where feasible on harmonized survey.
How do I install Eursr Research Design in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-research-design -a claude-code`. Or copy the skill folder (European-Sociological-Review-Skills/skills/eursr-research-design in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/eursr-research-design in your project. Claude Code loads it when a task matches its description.
How do I install Eursr Research Design in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eursr-research-design -a codex`. Or copy the skill folder (European-Sociological-Review-Skills/skills/eursr-research-design in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/eursr-research-design in your project. Codex loads it when a task matches its description.
Can I use Eursr Research Design 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-research-design -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-research-design, .gemini/skills/eursr-research-design, .github/skills/eursr-research-design and .opencode/skills/eursr-research-design in your project.
What does Eursr Research Design need to run?
SKILL.md names no scripts, command-line tools or credentials: Eursr Research Design is instructions for the agent only. Our summary lists: Python 3.
Does Eursr Research Design 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 Research Design 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 Research Design use?
Eursr Research Design 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 Research Design use?
About 2k tokens (SKILL.md is roughly 8.1k 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 Research Design?
Skills that share tags, products or a category with Eursr Research Design: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Eursr Research Design?
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.