skills/09-meleantonio-awesome-econ-ai-stuff/_skills/engineering/commit-push-pr/SKILL.md
Commit changes, push to remote, and create a pull request. Use for completing features or fixes ready for review.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research commit-push-prInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Automate the git workflow for completing a feature or fix.
Before proceeding, gather this information:
!git branch --show-current!git status --short!git log --oneline -5!git diff --statReview Changes
git status for all modified/added filesRun Pre-commit Checks
ruff format . (if Python files changed)ruff check . (if Python files changed)pytest (if tests exist)Stage and Commit
git add <files>feat: for new featuresfix: for bug fixesdocs: for documentationrefactor: for refactoringtest: for testschore: for maintenancePush to Remote
git push -u origin HEADCreate Pull Request
gh pr createPass a commit message or leave empty for auto-generated message based on changes.
Usage: /commit-push-pr [optional commit message]
Example: /commit-push-pr feat: add user authentication
Return the PR URL when complete.
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.