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 Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms, survey & field experiments on…
Install Pubar Research Design
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-research-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills pubar-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/Public-Administration-Review-Skills/skills/pubar-research-design .claude/skills/pubar-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 "pubar-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Public-Administration-Review-Skills/skills/pubar-research-design into .claude/skills/pubar-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pubar-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/Public-Administration-Review-Skills/skills/pubar-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 pubar-research-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills pubar-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/Public-Administration-Review-Skills/skills/pubar-research-design .agents/skills/pubar-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 "pubar-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Public-Administration-Review-Skills/skills/pubar-research-design into .agents/skills/pubar-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pubar-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 pubar-research-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills pubar-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/Public-Administration-Review-Skills/skills/pubar-research-design .cursor/skills/pubar-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 "pubar-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Public-Administration-Review-Skills/skills/pubar-research-design into .cursor/skills/pubar-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pubar-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 Public-Administration-Review-Skills/skills/pubar-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 pubar-research-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills pubar-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/Public-Administration-Review-Skills/skills/pubar-research-design .gemini/skills/pubar-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 "pubar-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Public-Administration-Review-Skills/skills/pubar-research-design into .gemini/skills/pubar-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pubar-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 pubar-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 pubar-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/Public-Administration-Review-Skills/skills/pubar-research-design .github/skills/pubar-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 "pubar-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Public-Administration-Review-Skills/skills/pubar-research-design into .github/skills/pubar-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pubar-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 pubar-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 pubar-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/Public-Administration-Review-Skills/skills/pubar-research-design .opencode/skills/pubar-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 "pubar-research-design" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Public-Administration-Review-Skills/skills/pubar-research-design into .opencode/skills/pubar-research-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pubar-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
pubar-research-design- GitHub stars
- 1.2k
- Token cost
- ~2.2k tokens
- SKILL.md length
- 891 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 Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms, survey & field experiments on…
- Defending the research design of a Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms
- SKILL.md covers When to trigger, PAR design-fit gate, Quantitative / causal… and Experiments on bureaucrats and…, plus 8 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Survey & field experiments on bureaucrats/citizens
What it does
Pubar Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of a Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms, survey & field experiments on bureaucrats/citizens, RD, IV), case comparison and process tracing, and mixed methods. PAR judges each tradition on its own terms. Strengthens the design; it does not write code.
Its SKILL.md is about 2.2k 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 Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms
- Survey & field experiments on bureaucrats/citizens
- Case comparison and process tracing
Example prompts
- “/pubar-research-design”
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
Pubar Research Design loads about 2.2k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 891 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). 891 words, ~2,173 tokens.
Download SKILL.mdSave it as
.claude/skills/pubar-research-design/SKILL.md (or your agent's skills folder).- name
- pubar-research-design
- description
- Use when defending the research design of a Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms, survey & field experiments on bureaucrats/citizens, RD, IV), case comparison and process tracing, and mixed methods. PAR judges each tradition on its own terms. Strengthens the design; it does not write code.
Research Design (pubar-research-design)
PAR accepts many methodologies but is demanding about each. The design must credibly connect the
argument (pubar-theory-building) to evidence drawn from public organizations, bureaucrats, citizens,
or jurisdictions. This skill is mode-aware: pick the section that matches your work and defend it
against the strongest alternative explanation.
When to trigger
- Specifying identification, case selection, or experimental design
- A reviewer questioned causal claims, case choice, external validity, or a confound
- Preparing a pre-analysis plan or a pre-registration (PAR offers pre-registration badges)
- Justifying why your design adjudicates the rival account from
pubar-literature-positioning
PAR design-fit gate
PAR is a generalist flagship, so the design must support both an academic claim and a usable public- management implication. Start with this gate before polishing methods language.
| Claim type | Design burden | Practice-relevance check |
|---|---|---|
| Reform or mandate effect | Assignment/timing logic, counterfactual trend, spillover check, and clustering at assignment level | The finding changes how agencies time, target, or evaluate reforms |
| Managerial behavior | Sample frame tied to real public managers or frontline staff, realistic decision task, and measured behavioral outcome | The recommendation is feasible inside public organizations |
| Citizen response / public trust | Treatment realism, representativeness limits, manipulation checks, and ethical framing | The takeaway does not overgeneralize from survey preference to administrative behavior |
| Case/process account | Case-selection logic, process-tracing tests, chronology, and rival-account evidence | The lesson transfers to a defined class of agencies, programs, or jurisdictions |
| Mixed-method mechanism | Quantitative association/effect plus qualitative implementation or mechanism evidence | The qualitative strand explains what managers can act on, not just why results are interesting |
Quantitative / causal inference (public-management settings)
- Identification first. State the estimand and the assumptions that license a causal reading (ignorability, parallel trends, exclusion, continuity). Defend them, don't assert them.
- Designs common in PA: DiD/event study around a reform or mandate (use modern staggered-adoption estimators — Callaway–Sant'Anna, Sun–Abraham, BJS — not naive TWFE); IV (first-stage strength, exclusion, weak-IV-robust inference); RD around eligibility/funding thresholds; matching/weighting with balance + sensitivity.
- Inference: cluster at the level of treatment assignment (often agency, district, or jurisdiction); wild-cluster bootstrap when clusters are few (a recurring PA problem with state- or agency-level treatments).
- Sensitivity: how strong must an unobserved confounder be to overturn the result (Oster / E-value)?
Experiments on bureaucrats and citizens
- Preregister the design and primary analyses; report power/MDE; pre-specify subgroups.
- Bureaucrat/managerial experiments: realism of the decision task, sample frame (which public managers), and generalization to real administrative behavior.
- Citizen survey/conjoint experiments: treatment realism, attention/manipulation checks, attrition, and ethics/IRB and consent.
Qualitative / case-based & mixed methods
- Case selection justified by design logic (typical, deviant, most/least-likely, paired comparison) — not convenience. Say what the case is a case of (a reform, a governance form).
- Process tracing with explicit tests (hoop, smoking-gun, straw-in-the-wind); state what evidence would have disconfirmed the argument.
- Mixed methods: say what the qualitative strand adds that the quantitative cannot (mechanism, context, implementation), and where the two corroborate or diverge.
The adjudication test (PAR-specific)
For the single strongest rival explanation, write one sentence: "If the rival were true rather than my argument, the agencies/managers/citizens would look like ___; instead they look like ___." If you cannot, the design does not yet identify the contribution — and the practitioner takeaway is unsafe.
Show full SKILL.md (374 more words)Show less
Practice-safe inference rules
- Separate evidence from recommendation. A credible association may justify a diagnostic warning; a causal design may justify a stronger managerial recommendation; neither automatically justifies a universal policy prescription.
- Name the implementation margin. If the intervention is staffing, training, targeting, rule design, citizen communication, or interagency coordination, say which margin the design actually tests.
- Check administrative feasibility. A design can be internally valid but still imply an action no manager can implement. Flag cost, authority, data availability, and equity constraints.
- Bound external validity. Identify the agency type, policy domain, country/state/local context, and population to which the evidence should and should not travel.
- Route transparency early. If the result relies on confidential administrative data, plan the
restricted-data path with
pubar-transparency-and-databefore claims harden.
Reviewer stress tests
- Would the result survive if the strongest agency-level selection story were true?
- Is the treatment/exposure measured before the outcome and at the right organizational level?
- Are standard errors clustered at the assignment or sampling level, not merely the observation level?
- For qualitative work, what observation would have disconfirmed the mechanism?
- For mixed methods, do both strands answer the same claim, or are they two parallel papers?
- Can the Evidence for Practice box be written without making a claim the design cannot support?
Execution bridge (StatsPAI / Stata MCP)
Estimate and audit the design, don't only describe it. Full map:
execution-with-mcp. PAR is public administration — survey/observational and some experimental work; identification + clustered/multilevel inference, magnitude for practice.
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 control. - Sensitivity:
oster_delta/sensemakrfor observational claims.
Report the magnitude in interpretable units; route the full battery to the appendix. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.
Anti-patterns
- Naive TWFE on a staggered reform rollout; clustering below the assignment level
- "Causal" language (and a managerial recommendation) on a design that only supports association
- Convenience case selection dressed up as theory-driven
- Bureaucrat/citizen experiments over-generalized to real administrative behavior with no caveat
- A design that cannot distinguish your argument from the leading alternative
Output format
【Mode】quant-causal / experiment / qualitative / mixed
【Estimand or claim】what is being identified/shown
【Design-fit gate】academic claim + practice relevance supported? [Y/N]
【Key assumption(s)】and how each is defended
【Rival ruled out】the adjudication sentence
【Robustness/sensitivity】planned checks (clustering, few-cluster, Oster/E-value)
【Practice-safe inference】recommendation strength + implementation margin + external-validity boundary
【Transparency handoff】public / restricted / qualitative-controlled-access path
【Next】pubar-data-analysisSupplementary resources
../../resources/external_tools.md— design/identification packages (R/Stata/Python) and CAQDAS for qualitative work../../resources/official-source-map.md— pre-registration badges and TOP notes
© 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 Public-Administration-Review-Skills/skills/pubar-research-design of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Pubar 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 |
|---|---|---|---|---|---|---|
| Pubar Research Design this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~2.2k | 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 Pubar Research Design
What does Pubar Research Design do?
A skill your agent uses when defending the research design of a Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms, survey & field experiments on…. Pubar Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of a Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms, survey & field experiments on bureaucrats/citizens, RD, IV), case comparison and process tracing, and mixed methods.
When should I use Pubar Research Design?
Pubar Research Design fits situations like: defending the research design of a Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms; survey & field experiments on bureaucrats/citizens; case comparison and process tracing.
How do I install Pubar Research Design in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-research-design -a claude-code`. Or copy the skill folder (Public-Administration-Review-Skills/skills/pubar-research-design in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/pubar-research-design in your project. Claude Code loads it when a task matches its description.
How do I install Pubar Research Design in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-research-design -a codex`. Or copy the skill folder (Public-Administration-Review-Skills/skills/pubar-research-design in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/pubar-research-design in your project. Codex loads it when a task matches its description.
Can I use Pubar 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 pubar-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/pubar-research-design, .gemini/skills/pubar-research-design, .github/skills/pubar-research-design and .opencode/skills/pubar-research-design in your project.
What does Pubar Research Design need to run?
SKILL.md names no scripts, command-line tools or credentials: Pubar Research Design is instructions for the agent only.
Does Pubar 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 Pubar 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 Pubar Research Design use?
Pubar 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 Pubar Research Design use?
About 2.2k tokens (SKILL.md is roughly 8.7k 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 Pubar Research Design?
Skills that share tags, products or a category with Pubar 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 Pubar 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.