Jbv Topic Selection
franklee16/academic-research-skills
A skill your agent uses when shaping or stress-testing a research question for the Journal of Business Venturing (JBV) — confirming the entrepreneurial phenomenon is central, picking a…
Find and assess datasets for a research question. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-finder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-finder --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/15-Felpix-Studios-social-science-research/skills/data-finder .claude/skills/data-finder && 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 "data-finder" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/15-Felpix-Studios-social-science-research/skills/data-finder into .claude/skills/data-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-finder", 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/15-Felpix-Studios-social-science-research/skills/data-finderType 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 data-finder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-finder --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/15-Felpix-Studios-social-science-research/skills/data-finder .agents/skills/data-finder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-finder" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/15-Felpix-Studios-social-science-research/skills/data-finder into .agents/skills/data-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-finder", 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 data-finder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-finder --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/15-Felpix-Studios-social-science-research/skills/data-finder .cursor/skills/data-finder && 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 "data-finder" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/15-Felpix-Studios-social-science-research/skills/data-finder into .cursor/skills/data-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-finder", 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/15-Felpix-Studios-social-science-research/skills/data-finder--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 data-finder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-finder --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/15-Felpix-Studios-social-science-research/skills/data-finder .gemini/skills/data-finder && 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 "data-finder" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/15-Felpix-Studios-social-science-research/skills/data-finder into .gemini/skills/data-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-finder", 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 data-finderInstalls 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 data-finder -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/15-Felpix-Studios-social-science-research/skills/data-finder .github/skills/data-finder && 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 "data-finder" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/15-Felpix-Studios-social-science-research/skills/data-finder into .github/skills/data-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-finder", 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 data-finder -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 data-finder --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/15-Felpix-Studios-social-science-research/skills/data-finder .opencode/skills/data-finder && 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 "data-finder" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/15-Felpix-Studios-social-science-research/skills/data-finder into .opencode/skills/data-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-finder", 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.
data-finderFind and assess datasets for a research question. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Data Finder is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Find and assess datasets for a research question. Dispatches Explorer agents to search across data source categories, then Explorer-Critic to stress-test each candidate. Produces a ranked list with feasibility grades. Make sure to use this skill whenever the user wants to identify or evaluate data sources — not to search for papers or run analysis. Triggers include: "find data", "what data should I use", "find a dataset for this", "where can I get data on X", "assess datasets", "what datasets exist for", "help me…
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 Research & Science, covering Hypothesis generation and Load testing. 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…
5 steps, taken from the step headings 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 these tools, so the agent can use them without asking each time:
ReadGrepGlobWriteWebSearchWebFetchTaskFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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.
Data Finder loads about 1.7k tokens when it runs. Until then it costs about 175 tokens; SKILL.md has 328 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 328 words (~1,748 tokens).
“Find and assess datasets for your research question. Two Explorer agents search in parallel across data source categories; an Explorer-Critic then stress-tests each candidate against the research design.”
Just SKILL.md in skills/15-Felpix-Studios-social-science-research/skills/data-finder of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Data Finder 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 |
|---|---|---|---|---|---|---|
| Data Finder this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Jbv Topic Selectionfranklee16/academic-research-skills | 223 | 1 repos | ~1k | Automated safety check: Pass | None | |
| Mgsci Topic Selectionfranklee16/academic-research-skills | 223 | 1 repos | ~998 | Automated safety check: Pass | None | |
| Research Refineappleweiping/WEIPING_WIKI | 119 | — | ~887 | Automated safety check: Pass | MIT | |
| Jms Topic Selectionbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Good QuestionRimagination/good-question | 305 | 1 repos | ~4.3k | Automated safety check: Pass | MIT |
franklee16/academic-research-skills
A skill your agent uses when shaping or stress-testing a research question for the Journal of Business Venturing (JBV) — confirming the entrepreneurial phenomenon is central, picking a…
franklee16/academic-research-skills
A skill your agent uses when shaping or stress-testing a research question for Management Science (INFORMS) — confirming the decision-relevance bar, choosing the right Department lane (analytical vs…
appleweiping/WEIPING_WIKI
Disciplined idea refinement for research projects. An agent skill from appleweiping/WEIPING_WIKI.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when scoping or stress-testing whether a research question fits the Journal of Management Studies (JMS) — a phenomenon-grounded management-theory question, quantitative or…
Rimagination/good-question
A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…
Exekiel179/psyclaw
Stress-test an academic research question, proposal, study design, analysis plan, manuscript claim, review protocol, or AI research project through a one-question-at-a-time interview until its…
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…
Categories
Find and assess datasets for a research question. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Data Finder is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Find and assess datasets for a research question.
Data Finder fits situations like: the user wants to identify; evaluate data sources — not to search for papers; include: find data; what data should I use.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-finder -a claude-code`. Or copy the skill folder (skills/15-Felpix-Studios-social-science-research/skills/data-finder in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/data-finder in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-finder -a codex`. Or copy the skill folder (skills/15-Felpix-Studios-social-science-research/skills/data-finder in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/data-finder 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 data-finder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-finder, .gemini/skills/data-finder, .github/skills/data-finder and .opencode/skills/data-finder in your project.
SKILL.md names no scripts, command-line tools or credentials: Data Finder is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, WebSearch, WebFetch, Task.
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.
Data Finder has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Data Finder: Jbv Topic Selection (franklee16/academic-research-skills, 223 stars), Mgsci Topic Selection (franklee16/academic-research-skills, 223 stars), Research Refine (appleweiping/WEIPING_WIKI, 119 stars) and Jms Topic Selection (brycewang-stanford/Awesome-Journal-Skills, 1.2k 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.