skills/64-tmonk-mcp-stata/skills/stata/SKILL.md
Show mcp-stata identity, connected tools, and status. Use when the user asks if mcp-stata is available, asks about access to the toolkit, or asks what Stata tools are connected.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research stataInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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ToolSearch query="select:stata_manage_session"
Call stata_manage_session(action="detect") to verify the Stata connection. If stata_manage_session(action="detect") fails, report the error and suggest the user set STATA_PATH to the Stata executable path.
Then respond with:
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/ __ `__ \/ ___/ __ \______/ ___/ __/ __ `/ __/ __ `/
/ / / / / / /__/ /_/ /_____(__ ) /_/ /_/ / /_/ /_/ /
/_/ /_/ /_/\___/ .___/ /____/\__/\__,_/\__/\__,_/
/_/ mcp-stata
mcp-stata is connected. Stata {version} ({flavor}) detected.
MCP Tools:
stata_run — execute do-file code & ad-hoc commands
stata_load_data — load datasets (sysuse / webuse / path)
stata_inspect_data — describe, codebook, summary, list, get rows
stata_manage_graphs — list, export, or export_all graphs
stata_get_help — Stata command documentation
stata_get_results — fetch r() / e() / s() stored results
stata_read_log — tail or search log output
stata_manage_session — create/stop sessions, history diff, UI channel
stata_task_status — poll background task progress
stata_control — break or cancel running work
Slash Commands:
/stata-run <code> — run arbitrary Stata code
/stata-inspect [var] — describe/summarize current dataset
/stata-results — fetch stored r()/e()/s() results
/stata-graph [name] — export graph(s)
/stata-lint <path> — lint a .do or .ado file
/stata-log [path] — tail log output
/stata-help <topic> — look up Stata documentation
Resources (MCP):
stata://data/summary stata://data/metadata
stata://graphs/list stata://variables/list
stata://results/stored
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.