skills/09-meleantonio-awesome-econ-ai-stuff/_skills/engineering/code-simplifier/SKILL.md
Simplify and clean up code after changes are complete. Reduces complexity, improves readability, and ensures consistency.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research code-simplifierInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Clean up and simplify code after making changes.
Run this skill after completing a feature or fix to ensure the code is clean, readable, and maintainable.
with statements for resource managementenumerate() instead of manual indexingzip() for parallel iterationpathlib for file pathsIdentify Changed Files
Analyze Each File
Apply Simplifications
Format and Lint
ruff format .ruff check --fix .Verify
pytestOptionally specify files or directories to simplify.
Usage:
/code-simplifier - Simplify recently changed files/code-simplifier src/module.py - Simplify specific file/code-simplifier src/ - Simplify entire directoryBefore:
result = []
for i in range(len(items)):
if items[i].is_valid == True:
result.append(items[i].value)
After:
result = [item.value for item in items if item.is_valid]
Before:
if x != None:
if y != None:
if z != None:
process(x, y, z)
After:
if all(v is not None for v in (x, y, z)):
process(x, y, z)
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.