菜单
10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills --skill cs-skills命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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.
中英双语学术降 AIGC / bilingual academic de-AIGC skill. Removes AI-generated writing signatures from empirical papers in economics, management, and the social sciences — in both English and Chinese. Covers Turnitin AI, GPTZero, Originality.ai on the English side and 知网 AMLC, 万方, 维普 on the Chinese side. Uses a six-step loop (intake → audit → claim-evidence check → differentiated rewrite → five-dimension self-score → cold-reader recheck) with two pattern libraries (22 English + 17 Chinese patterns), section-by-section strategies for empirical papers, and hard protections that keep every number, coefficient, and citation intact.
Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.
正在显示 SKILL.md
基于 SOC 职业分类
| name | cs-skills |
| description | 10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods. |
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description |
|---|---|
| ai-security-papers-guide | AI security papers from top-4 security conferences |
| algorithms-complexity-guide | Analyze algorithm complexity and computational efficiency for research |
| code-llm-papers-guide | Survey and paper collection on LLMs for code generation |
| dblp-api | Search computer science publications, authors, and venues via DBLP |
| distributed-systems-guide | Distributed systems design patterns and analysis for CS research |
| formal-verification-guide | Formal methods, theorem proving, and model checking for CS research |
| gaussian-splatting-papers-guide | Curated papers and resources for 3D Gaussian Splatting |
| llm-aiops-guide | Papers on LLMs for IT operations and AIOps research |
| software-engineering-research | Guide to software engineering research topics and methodologies |
| software-heritage-api | Archive and retrieve source code history via Software Heritage API |