Ecosystem
glebis/claude-skills
Audit the Claude Code ecosystem — skill health and staleness, project activity pulse, CLAUDE.md instruction drift, Mac Mini service status.
Agent skill
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
Redistricting analysis in R using the redistverse ecosystem.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill redistricting-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills redistricting-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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/22-christopherkenny-skills/skills/redistricting-analysis .claude/skills/redistricting-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 "redistricting-analysis" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/22-christopherkenny-skills/skills/redistricting-analysis into .claude/skills/redistricting-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "redistricting-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/Auto-Empirical-Research-Skills/tree/main/skills/22-christopherkenny-skills/skills/redistricting-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/Auto-Empirical-Research-Skills --skill redistricting-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills redistricting-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/22-christopherkenny-skills/skills/redistricting-analysis .agents/skills/redistricting-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 "redistricting-analysis" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/22-christopherkenny-skills/skills/redistricting-analysis into .agents/skills/redistricting-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "redistricting-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/Auto-Empirical-Research-Skills --skill redistricting-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills redistricting-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/22-christopherkenny-skills/skills/redistricting-analysis .cursor/skills/redistricting-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 "redistricting-analysis" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/22-christopherkenny-skills/skills/redistricting-analysis into .cursor/skills/redistricting-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "redistricting-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/Auto-Empirical-Research-Skills.git --path skills/22-christopherkenny-skills/skills/redistricting-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/Auto-Empirical-Research-Skills --skill redistricting-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills redistricting-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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/22-christopherkenny-skills/skills/redistricting-analysis .gemini/skills/redistricting-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 "redistricting-analysis" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/22-christopherkenny-skills/skills/redistricting-analysis into .gemini/skills/redistricting-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "redistricting-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/Auto-Empirical-Research-Skills redistricting-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/Auto-Empirical-Research-Skills --skill redistricting-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/22-christopherkenny-skills/skills/redistricting-analysis .github/skills/redistricting-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 "redistricting-analysis" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/22-christopherkenny-skills/skills/redistricting-analysis into .github/skills/redistricting-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "redistricting-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/Auto-Empirical-Research-Skills --skill redistricting-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/Auto-Empirical-Research-Skills redistricting-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/22-christopherkenny-skills/skills/redistricting-analysis .opencode/skills/redistricting-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 "redistricting-analysis" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/22-christopherkenny-skills/skills/redistricting-analysis into .opencode/skills/redistricting-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "redistricting-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.
redistricting-analysisRedistricting analysis in R using the redistverse ecosystem.
Redistricting Analysis is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. 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…
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including reference files (for example `references/01-redist-simulation.md`, `references/02-redist-constraints.md` and `references/03-redist-advanced.md`).
The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Redistricting Analysis loads about 1.5k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 177 tokens; SKILL.md has 430 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 430 words (~1,476 tokens).
“A comprehensive reference for redistricting analysis in R using the redistverse ecosystem (library(redistverse) loads redist, redistmetrics, ggredist, geomander, sf, and adj).”
SKILL.md and 17 other files (references) in skills/22-christopherkenny-skills/skills/redistricting-analysis of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Redistricting 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 |
|---|---|---|---|---|---|---|
| Redistricting Analysis this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Ecosystemglebis/claude-skills | 391 | — | ~2.1k | Automated safety check: Pass | MIT | |
| EcosystemConvex-Dev/convex | 117 | — | ~159 | Automated safety check: Pass | Custom licence | |
| Summarise Ecosystem Resultsastral-sh/ruff | 50k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Minimizing Ty Ecosystem Changesastral-sh/ruff | 50k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Gtm Developer Ecosystemgithub/awesome-copilot | 40k | 1 repos | ~2.3k | Automated safety check: Pass | MIT |
glebis/claude-skills
Audit the Claude Code ecosystem — skill health and staleness, project activity pulse, CLAUDE.md instruction drift, Mac Mini service status.
Convex-Dev/convex
Orientation in the Convex ecosystem — what lives in which repository, where the specs and docs are, and which client libraries exist.
astral-sh/ruff
A skill your agent uses when a user says "summarise ecosystem results", "summarize this ty ecosystem report", "what changed in this ecosystem run?", or asks to summarise or summarize ty ecosystem…
astral-sh/ruff
A skill your agent uses when a user says "minimize this ty ecosystem change", "reproduce this ecosystem result", "investigate a primer difference", "investigate a mypyprimer difference"…
github/awesome-copilot
Build and scale developer-led adoption through ecosystem programs.
LeoYeAI/openclaw-master-skills
World-Class Partnerships & Ecosystem Playbook. An agent skill from LeoYeAI/openclaw-master-skills.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Redistricting analysis in R using the redistverse ecosystem. Redistricting Analysis is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Redistricting analysis in R using the redistverse ecosystem.
Redistricting Analysis fits situations like: the user is working with redist; mentions redistricting; simulation ensembles; any redistverse package by name.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill redistricting-analysis -a claude-code`. Or copy the skill folder (skills/22-christopherkenny-skills/skills/redistricting-analysis in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/redistricting-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill redistricting-analysis -a codex`. Or copy the skill folder (skills/22-christopherkenny-skills/skills/redistricting-analysis in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/redistricting-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill redistricting-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/redistricting-analysis, .gemini/skills/redistricting-analysis, .github/skills/redistricting-analysis and .opencode/skills/redistricting-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Redistricting Analysis is instructions for the agent only.
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.
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.
Redistricting Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 20k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Redistricting Analysis: Ecosystem (glebis/claude-skills, 391 stars), Ecosystem (Convex-Dev/convex, 117 stars), Summarise Ecosystem Results (astral-sh/ruff, 50k stars) and Minimizing Ty Ecosystem Changes (astral-sh/ruff, 50k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.