skills/43-wentorai-research-plugins/skills/writing/composition/scientific-writing-resources/SKILL.md
Curated tools and resources for effective scientific writing
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research scientific-writing-resourcesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
A skill providing curated tools, techniques, and resources for producing clear, effective scientific writing. Based on awesome-scientific-writing (920 stars), this skill equips the agent with knowledge of the best available tools for each stage of the scientific writing process, from initial drafting through final publication.
Scientific writing is a specialized craft that demands clarity, precision, and adherence to disciplinary conventions. Unlike creative writing, scientific writing prioritizes unambiguous communication of methods, results, and reasoning. This skill catalogs and guides the use of tools that support every phase of scientific manuscript preparation, including writing environments, grammar and style checkers, reference managers, collaboration tools, and publishing pipelines.
The resources are organized by workflow stage, making it easy to find the right tool for the task at hand, whether you are outlining a new paper, polishing prose, managing references, or preparing the final submission.
Markdown-Based Workflows
LaTeX Workflows
Hybrid Approaches
Automated Checking
Style Guides for Science
Common Issues to Check
Reference Managers
Citation Processing
Real-Time Collaboration
Review and Feedback
Manuscript Preparation
Preprint and Open Access
Reproducibility Tools
This skill provides the Research-Claw agent with comprehensive writing tool knowledge:
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.