redistricting-analysis
brycewang-stanford/Auto-Empirical-Research-SkillsRedistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata,…
Scores out of 100 · grade A
2026-08-17Works
40% of the score100/100
- Loads cleanly: valid frontmatter, required fields present, no dangling references.
Maintained
25% of the score94/100
- no commits in the last 12 weeks
- no license file
Adopted
20% of the score48/100
- 3,432 stars on the source repo.
Documented
15% of the score57/100
- No usage example or code block.
- 543-word body.
- Ships 17 bundled files.
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills/redistricting-analysisWhat the check found
| Finding | What it means |
|---|---|
| No license | The repository ships no license file, so the reuse terms are unclear. |
What it says it does
Redistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata, PL94171, censable, easycensus, tinytiger, baf, rict, or redistio. Covers the complete pipeline: Census and spatial data loading, adjacency graph construction, SMC/MCMC simulation, constraints (population balance, county splits, VRA compliance), convergence diagnostics, plan metrics (compactness, partisan fairness, splits), visualization, summary tables, and interactive plan drawing. Invoke whenever the user mentions redistricting, gerrymandering, district plans, simulation ensembles, or any redistverse package by name.
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