Returns Reverse Logistics
sickn33/agentic-awesome-skills
Codified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management.
Agent skill
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
County Presidential Returns 2000-2024 (MIT MEDSL). An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill election-data-source-countypres -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills election-data-source-countypres --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres .claude/skills/election-data-source-countypres && 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 "election-data-source-countypres" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres into .claude/skills/election-data-source-countypres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "election-data-source-countypres", 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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypresType 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 election-data-source-countypres -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills election-data-source-countypres --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres .agents/skills/election-data-source-countypres && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "election-data-source-countypres" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres into .agents/skills/election-data-source-countypres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "election-data-source-countypres", 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 election-data-source-countypres -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills election-data-source-countypres --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres .cursor/skills/election-data-source-countypres && 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 "election-data-source-countypres" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres into .cursor/skills/election-data-source-countypres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "election-data-source-countypres", 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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres--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 election-data-source-countypres -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills election-data-source-countypres --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres .gemini/skills/election-data-source-countypres && 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 "election-data-source-countypres" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres into .gemini/skills/election-data-source-countypres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "election-data-source-countypres", 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 election-data-source-countypresInstalls 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 election-data-source-countypres -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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres .github/skills/election-data-source-countypres && 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 "election-data-source-countypres" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres into .github/skills/election-data-source-countypres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "election-data-source-countypres", 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 election-data-source-countypres -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 election-data-source-countypres --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres .opencode/skills/election-data-source-countypres && 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 "election-data-source-countypres" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres into .opencode/skills/election-data-source-countypres/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "election-data-source-countypres", 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.
election-data-source-countypresCounty Presidential Returns 2000-2024 (MIT MEDSL). An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Election Data Source Countypres is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. County Presidential Returns 2000-2024 (MIT MEDSL). Vote shares, party trends, turnout by countyfips (joins census/education data). Requires HARVARDDATAVERSEAPIKEY. Critical: mode='TOTAL' drops ~1K counties post-2020 — use 3-pattern reconstruction
Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `references/coded-values.md`, `references/columns.md` and `references/interpretations.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…
3 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.
Ships 5 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
dockerFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
dataverse.harvard.eduAlso links to:
nature.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
HARVARD_DATAVERSE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Election Data Source Countypres loads about 4.7k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 1,572 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); the scripts in this folder 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 1,572 words (~4,650 tokens).
“County Presidential Election Returns 2000-2024 from MIT Election Data and Science Lab (MEDSL). Use when analyzing county-level presidential vote shares, party trends, turnout, or geographic voting patterns. Key join column county_fips enables linking to census, education (CCD/SAIPE), and demographic datasets…”
SKILL.md and 11 other files (scripts, references) in skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Election Data Source Countypres 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 |
|---|---|---|---|---|---|---|
| Election Data Source Countypres this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~4.7k | Automated safety check: Pass | Custom licence | |
| Returns Reverse Logisticssickn33/agentic-awesome-skills | 47k | 8 repos | ~6.4k | Automated safety check: Pass | MIT | |
| Returns Reverse Logisticsaffaan-m/ECC | 275k | 2 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Returns Reverse Logisticsaffaan-m/ECC | 275k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Voting Navigatormohitagw15856/pm-claude-skills | 1.4k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Voting Navigatormohitagw15856/pm-claude-skills | 1.4k | — | ~246 | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Codified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management.
affaan-m/ECC
用于退货授权、接收与检验、处置决策、退款处理、欺诈检测以及保修索赔管理的标准化专业知识。基于拥有15年以上经验的退货运营经理的见解。包括分级框架、处置经济学、欺诈模式识别和供应商回收流程。适用于处理产品退货、逆向物流、退款决策、退货欺诈检测或保修索赔时使用。
affaan-m/ECC
返品承認、受取・検品、処分決定、返金処理、不正検出、保証クレーム管理のための標準化された専門知識。15年以上の経験を持つ返品オペレーションマネージャーの知見に基づく。段階的フレームワーク、処分経済性、不正パターン認識、ベンダー回収プロセスを含む。製品返品、逆物流、返金決定、返品不正検出、保証クレームを扱う場合に使用。
mohitagw15856/pm-claude-skills
Work out how to actually vote in a specific election — am I registered, what's the deadline, how do I vote (in person / mail / early), what ID do I need, and what's on my ballot — with everything…
mohitagw15856/pm-claude-skills
Summarise what Voting Navigator does in one line. An agent skill from mohitagw15856/pm-claude-skills.
mohitagw15856/pm-claude-skills
Write a CV for someone returning to work after a career break (caring, health, parenting, travel, redundancy or anything else), presenting the gap honestly and briefly and leading with current…
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
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…
brycewang-stanford/Auto-Empirical-Research-Skills
Chinese LaTeX thesis assistant for existing .tex degree thesis projects (XeLaTeX/LuaLaTeX/latexmk).
brycewang-stanford/Auto-Empirical-Research-Skills
This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes…
County Presidential Returns 2000-2024 (MIT MEDSL). An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Election Data Source Countypres is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. County Presidential Returns 2000-2024 (MIT MEDSL).
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill election-data-source-countypres -a claude-code`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/election-data-source-countypres in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill election-data-source-countypres -a codex`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/election-data-source-countypres in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/election-data-source-countypres 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 election-data-source-countypres -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/election-data-source-countypres, .gemini/skills/election-data-source-countypres, .github/skills/election-data-source-countypres and .opencode/skills/election-data-source-countypres in your project.
Going by SKILL.md and its folder, Election Data Source Countypres needs Python for the scripts in its folder, the command-line tools its instructions call (docker) and credentials named HARVARD_DATAVERSE_API_KEY. Our summary lists: Python 3; Docker; A credential in HARVARD_DATAVERSE_API_KEY.
SKILL.md names 2 domains. In commands or code: dataverse.harvard.edu; the agent is likely to contact it when it follows the instructions. As links in the text: nature.com. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Election Data Source Countypres has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 4.7k tokens (SKILL.md is roughly 19k 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 9.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Election Data Source Countypres: Returns Reverse Logistics (sickn33/agentic-awesome-skills, 47k stars), Returns Reverse Logistics (affaan-m/ECC, 275k stars), Returns Reverse Logistics (affaan-m/ECC, 275k stars) and Voting Navigator (mohitagw15856/pm-claude-skills, 1.4k 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 4,529 GitHub stars. The repository holds 364 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.