Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
A skill your agent uses when executing and reporting the analysis for a Governance: An International Journal of Policy, Administration, and Institutions manuscript — cross-national inference…
Install Govern Data Analysis
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill govern-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills govern-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/Governance-Journal-Skills/skills/govern-data-analysis .claude/skills/govern-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 "govern-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Governance-Journal-Skills/skills/govern-data-analysis into .claude/skills/govern-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "govern-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/Governance-Journal-Skills/skills/govern-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 govern-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills govern-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/Governance-Journal-Skills/skills/govern-data-analysis .agents/skills/govern-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 "govern-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Governance-Journal-Skills/skills/govern-data-analysis into .agents/skills/govern-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "govern-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 govern-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills govern-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/Governance-Journal-Skills/skills/govern-data-analysis .cursor/skills/govern-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 "govern-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Governance-Journal-Skills/skills/govern-data-analysis into .cursor/skills/govern-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "govern-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 Governance-Journal-Skills/skills/govern-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 govern-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills govern-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/Governance-Journal-Skills/skills/govern-data-analysis .gemini/skills/govern-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 "govern-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Governance-Journal-Skills/skills/govern-data-analysis into .gemini/skills/govern-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "govern-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 govern-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 govern-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/Governance-Journal-Skills/skills/govern-data-analysis .github/skills/govern-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 "govern-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Governance-Journal-Skills/skills/govern-data-analysis into .github/skills/govern-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "govern-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 govern-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 govern-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/Governance-Journal-Skills/skills/govern-data-analysis .opencode/skills/govern-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 "govern-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Governance-Journal-Skills/skills/govern-data-analysis into .opencode/skills/govern-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "govern-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
govern-data-analysis- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 673 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when executing and reporting the analysis for a Governance: An International Journal of Policy, Administration, and Institutions manuscript — cross-national inference…
- Works in 6 steps: Cross-national inference, done… → Cluster and quantify uncertainty… → Robustness that probes, not decorates.… → …
- Executing and reporting the analysis for a Governance: An International Journal of Policy
- SKILL.md covers When to trigger, Analysis norms Governance…, Small-N comparative samples… and Sensitivity to unobserved…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Govern Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing and reporting the analysis for a Governance: An International Journal of Policy, Administration, and Institutions manuscript — cross-national inference, clustering and uncertainty, robustness, multi-method triangulation, measurement validity for governance indices, small-N comparative samples, and sensitivity to unobserved confounders. Guides analysis norms; it does not fabricate results.
Its SKILL.md is about 1.7k 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
- Executing and reporting the analysis for a Governance: An International Journal of Policy
- Institutions manuscript — cross-national inference
- Clustering and uncertainty
- Multi-method triangulation
Example prompts
- “/govern-data-analysis”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Cross-national inference, done carefully. Be explicit about what is identified off within-country
- Cluster and quantify uncertainty correctly. Cluster at the level of treatment assignment (often
- Robustness that probes, not decorates. Show specifications that could break the result —
- Triangulate across methods. Where the design is mixed, show that quantitative and qualitative
- Measurement validity for governance indices. Validate the construct; show the result is not an
- Pre-specification discipline. Clearly separate pre-specified from exploratory analyses;
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
Govern Data Analysis loads about 1.7k tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 673 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). 673 words, ~1,675 tokens.
Download SKILL.mdSave it as
.claude/skills/govern-data-analysis/SKILL.md (or your agent's skills folder).- name
- govern-data-analysis
- description
- Use when executing and reporting the analysis for a Governance: An International Journal of Policy, Administration, and Institutions manuscript — cross-national inference, clustering and uncertainty, robustness, multi-method triangulation, measurement validity for governance indices, small-N comparative samples, and sensitivity to unobserved confounders. Guides analysis norms; it does not fabricate results.
Data Analysis (govern-data-analysis)
Governance reviewers are comparative-method sophisticated and the journal requires a Data
Availability Statement describing whether and how replication materials can be accessed. Analyze as if
a competent reader will follow your inference across countries — because they will. This skill covers
execution and reporting norms; design decisions live in govern-research-design.
When to trigger
- Running main and supporting analyses; building the results section
- A reviewer asked for robustness, heterogeneity, or alternative specifications
- Reconciling pre-specified vs. exploratory analyses (an anonymized pre-analysis plan may be supplied)
- Making the analysis reproducible before drafting the Data Availability Statement
Analysis norms Governance expects
- Cross-national inference, done carefully. Be explicit about what is identified off within-country over-time variation vs. cross-country variation, and which the argument needs. Country-year panels with two-way fixed effects answer a different question than a pure cross-section — say which.
- Cluster and quantify uncertainty correctly. Cluster at the level of treatment assignment (often country or reform unit); report confidence/credible intervals and effect magnitudes, not just stars.
- Robustness that probes, not decorates. Show specifications that could break the result — alternative governance measures, country/period subsamples, dropping influential cases, alternative estimators — and say what you learned.
- Triangulate across methods. Where the design is mixed, show that quantitative and qualitative estimates corroborate; own and interpret divergence rather than hiding it.
- Measurement validity for governance indices. Validate the construct; show the result is not an artifact of one index (V-Dem vs. WGI vs. QoG vs. Bertelsmann) or one calibration; carry index uncertainty (e.g., V-Dem credible intervals) into the inference where feasible.
- Pre-specification discipline. Clearly separate pre-specified from exploratory analyses; if a pre-analysis plan was supplied, reconcile and justify any deviations.
Small-N comparative samples (the recurring Governance problem)
- Few countries/clusters break standard cluster-robust SEs: use wild-cluster bootstrap or randomization/permutation inference; report the cluster count honestly.
- With a small donor pool, consider synthetic control (and its placebo/leave-one-out checks) rather than over-claiming from a few-unit panel.
- For set-theoretic (QCA) work, report consistency and coverage and probe robustness to calibration and threshold choices; do not present a single solution formula as definitive.
- Resist over-fitting: in small samples, a long covariate list and a "clean" table are a warning sign, not reassurance.
Sensitivity to unobserved confounders
Institutional outcomes are confounded by hard-to-measure history and capacity. Report how strong an unobserved confounder would have to be to overturn the result (e.g., Oster's δ/bounds, sensemakr-style robustness values, E-values). State the benchmark covariate you compare against.
Show full SKILL.md (267 more words)Show less
Reproducibility while you work (not at the end)
- One master script regenerates every table and figure from the (raw or constructed) data.
- Set and report seeds for bootstrap, permutation inference, simulation, and any stochastic step.
- Pin software/package versions; record the exact governance-index version and download date.
- Keep manuscript table/figure numbers matched to script outputs, ready for the Data Availability Statement.
Execution bridge (StatsPAI / Stata MCP)
Run the battery, don't just enumerate it. Full map:
execution-with-mcp. Governance is public administration and institutions research — comparative and causal designs on governance reforms; the chain serves its quantitative-causal lane, while comparative-historical / qualitative work uses its own standards.
- Many outcomes / specifications:
romano_wolf(step-down FWER) orbenjamini_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 exactsuggest_functionfor each. - Exhibits:
etable/did_summary_to_latexfrom 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
- Stars-only tables with no effect sizes, intervals, or substantive interpretation across countries
- Standard cluster-robust SEs with a handful of countries (few-cluster bias ignored)
- "Robustness" that reruns near-identical specs to manufacture stability
- Treating one governance index as truth; never checking an alternative measure
- Mining for a significant cross-national interaction and theorizing it post hoc
- A results section whose numbers a reader could not reproduce from the materials
Output format
【Main estimate】magnitude + interval + cross-national substantive meaning
【Inference】clustering level; few-cluster correction if N small
【Measurement】index + version; result holds across alternative measures? [Y/N]
【Robustness】specs that could break it → what held
【Sensitivity】strength of unobserved confounder needed to overturn (δ / RV / E-value)
【Pre-specified vs exploratory】clearly separated?
【Reproducible】master script + seeds + pinned index versions? [Y/N]
【Next】govern-tables-figuresSupplementary resources
../../resources/external_tools.md— estimation, few-cluster inference, synthetic control, QCA, and sensitivity packages../../resources/official-source-map.md— Data Availability Statement and pre-analysis-plan policy
© 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 Governance-Journal-Skills/skills/govern-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Govern 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 |
|---|---|---|---|---|---|---|
| Govern Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 84k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data AnalysisOleafly/Oleafly | 209 | 2 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT |
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Questions about Govern Data Analysis
What does Govern Data Analysis do?
A skill your agent uses when executing and reporting the analysis for a Governance: An International Journal of Policy, Administration, and Institutions manuscript — cross-national inference…. Govern Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing and reporting the analysis for a Governance: An International Journal of Policy, Administration, and Institutions manuscript — cross-national inference, clustering and uncertainty, robustness, multi-method triangulation, measurement validity for governance indices, small-N comparative samples, and sensitivity to unobserved confounders.
When should I use Govern Data Analysis?
Govern Data Analysis fits situations like: executing and reporting the analysis for a Governance: An International Journal of Policy; institutions manuscript — cross-national inference; clustering and uncertainty; multi-method triangulation.
How do I install Govern Data Analysis in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill govern-data-analysis -a claude-code`. Or copy the skill folder (Governance-Journal-Skills/skills/govern-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/govern-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Govern Data Analysis in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill govern-data-analysis -a codex`. Or copy the skill folder (Governance-Journal-Skills/skills/govern-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/govern-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Govern 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 govern-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/govern-data-analysis, .gemini/skills/govern-data-analysis, .github/skills/govern-data-analysis and .opencode/skills/govern-data-analysis in your project.
What does Govern Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Govern Data Analysis is instructions for the agent only.
Does Govern 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 Govern 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 Govern Data Analysis use?
Govern 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 Govern Data Analysis use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Govern Data Analysis?
Skills that share tags, products or a category with Govern Data Analysis: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Exploratory Data Analysis (Oleafly/Oleafly, 209 stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Govern 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.