skills/64-tmonk-mcp-stata/skills/stata-run/SKILL.md
Run arbitrary Stata code or a .do file and display the result.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research stata-runInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The argument is the Stata code or absolute path to a .do file to execute.
If the argument ends in .do or .ado, call:
stata_run(code=<argument>, is_file=True, echo=True, as_json=True)
Otherwise call:
stata_run(code=<argument>, echo=True, as_json=True)
If success is true, display the stdout output. Note the output is truncated to 5,000 chars; if the response includes a log_path, offer to tail the full log with /stata-log <log_path>.
If success is false, display the error message and rc code. Suggest using /stata-lint <path> for syntax issues or /stata-help <command> for documentation.
If the command produces graphs, note that /stata-graph can export them.
If using background mode (background=True): you may do other work or fire parallel tasks, but you MUST call stata_task_status(task_id=<id>, wait=True, timeout=<N>, tail_lines=<M>) for every task before returning to the user. Set timeout to match expected runtime; set tail_lines to how much output you want inline vs. reading separately via stata_read_log. Loop on timeout until status is 'done' or 'failed'.
tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.