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    <title>AI4SS</title>
    <description>Curated skills, tools, papers, and references for AI-powered social science research.</description>
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    <!-- Skills -->
    
    <item>
        <title>AI Research Engineering Skills Library - AI Skill</title>
        <description><![CDATA[The most comprehensive open-source library of AI research engineering skills for AI agents.]]></description>
        <link>https://mamingsuper.github.io/skills/ai-research-engineering-skills/</link>
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    <item>
        <title>Using Claude Code with Stata - AI Skill</title>
        <description><![CDATA[Aniket Panjwani introduces how to use Claude Code with Stata for economic research.]]></description>
        <link>https://mamingsuper.github.io/skills/claude-code-stata-guide/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>skill</category>
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    <item>
        <title>STATA Accounting Research - AI Skill</title>
        <description><![CDATA[A Claude Code skill providing STATA syntax patterns from 126 peer-reviewed JAR replication files (2017-2025).]]></description>
        <link>https://mamingsuper.github.io/skills/stata-accounting-research/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>skill</category>
    </item>
    
    <item>
        <title>Open Science Skills - AI Skill</title>
        <description><![CDATA[Reproducible research workflows and open-science best practices for social science.]]></description>
        <link>https://mamingsuper.github.io/skills/open-science-skills/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>skill</category>
    </item>
    
    <item>
        <title> - AI Skill</title>
        <description><![CDATA[How do LLMs actually work?
LLMs power AI applications like ChatGPT, Grok, and Claude to generate human-like text and assist with complex tasks.
Here’s a simple to understand brea]]></description>
        <link>https://mamingsuper.github.io/skills/research-engineering/how-do-llms-actually-work-llms-power-ai-applications-like-ch/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>skill</category>
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    <item>
        <title> - AI Skill</title>
        <description><![CDATA[I wrote an academic paper in 4 days using AI.
Claude Code wrote the first draft overnight. I iterated with multiple AI agents as reviewers. AI made me faster, not smarter. The pap]]></description>
        <link>https://mamingsuper.github.io/skills/research-engineering/i-wrote-an-academic-paper-in-4-days-using-ai-claude-code-wro/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>skill</category>
    </item>
    
    <item>
        <title> - AI Skill</title>
        <description><![CDATA[Karpathy 上周发了个项目，两天 860 万浏览——autoresearch。
原版是 ML 专用：630 行代码，一个 GPU，一晚上自动跑 100 个实验，失败自动回滚，成功自动提交。
有人把这套思路移植到了 Claude Code 里，做成了一个 Skill：uditgoenka/autoresearch。
核心逻辑极其简单：
设定一个可]]></description>
        <link>https://mamingsuper.github.io/skills/research-engineering/karpathy-860-autoresearch-ml-630-gpu-100-claude-code-skill-u/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>skill</category>
    </item>
    
    <item>
        <title> - AI Skill</title>
        <description><![CDATA[Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent...]]></description>
        <link>https://mamingsuper.github.io/skills/research-engineering/orchestra-research-ai-research-skills/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>skill</category>
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    <item>
        <title> - AI Skill</title>
        <description><![CDATA[分享一个科研论文全自动撰写Skill
Academic Research Skills for Claude Code:
research →
write →
review →
revise →
finalize。https://t.co/jCw1nEtBIb]]></description>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>skill</category>
    </item>
    
    <item>
        <title>Claude Scientific Writer - AI Skill</title>
        <description><![CDATA[End-to-end academic paper writing solution for social science research.]]></description>
        <link>https://mamingsuper.github.io/skills/writing/claude-writer/index/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>skill</category>
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    <!-- Papers -->
    
    <item>
        <title>Out of One, Many: Using Language Models to Simulate Human Samples</title>
        <description><![CDATA[Demonstrates that LLMs can generate synthetic survey responses that closely match real human opinion distributions, opening doors for rapid prototyping of social science studies.]]></description>
        <link>https://mamingsuper.github.io/papers/argyle-out-of-one-many/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
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    <item>
        <title>Can Generative AI Improve Social Science?</title>
        <description><![CDATA[Explores how generative AI can enhance survey research, online experiments, automated content analyses, and agent-based models — while warning of bias, ethics, and replication challenges.]]></description>
        <link>https://mamingsuper.github.io/papers/bail-generative-ai-social-science/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
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        <title>Synthetic Replacements for Human Survey Data? The Perils of Large Language Models</title>
        <description><![CDATA[Critically examines the reliability of LLM-generated survey data as substitutes for real human respondents, identifying systematic biases and failure modes.]]></description>
        <link>https://mamingsuper.github.io/papers/bisbee-synthetic-survey/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>paper</category>
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    <item>
        <title>AI and the Transformation of Social Science Research</title>
        <description><![CDATA[A high-level perspective on how AI is reshaping the design, execution, and interpretation of social science research at scale.]]></description>
        <link>https://mamingsuper.github.io/papers/grossmann-ai-transformation/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
        <category>paper</category>
    </item>
    
    <item>
        <title>Large Language Models as Social Science Assistants</title>
        <description><![CDATA[A comprehensive review of how LLMs are transforming social science research methods.]]></description>
        <link>https://mamingsuper.github.io/papers/llm-social-science/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
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    <!-- Resources -->
    
    <item>
        <title>Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools - Resource</title>
        <description><![CDATA[Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools]]></description>
        <link>https://mamingsuper.github.io/resources/hallucination-free-assessing-the-reliability-of-leading-ai-l/</link>
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        <title>AgentReview - Resource</title>
        <description><![CDATA[Official Implementation for EMNLP 2024 (main) "AgentReview: Exploring Academic Peer Review with LLM Agent."]]></description>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
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        <title>ECON_5314G_Big_Data_Economics - Resource</title>
        <description><![CDATA[This intermediate applied econometrics course covers the theoretical, computational, and statistical underpinnings of the big data analysis. (first taught at Virginia Tech in 2018)]]></description>
        <link>https://mamingsuper.github.io/resources/alihabibnia-econ-5314g-big-data-economics/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
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    <item>
        <title>STREAM - Resource</title>
        <description><![CDATA[ACL Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in...]]></description>
        <link>https://mamingsuper.github.io/resources/anfreth-stream/</link>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
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    <item>
        <title>research-public - Resource</title>
        <description><![CDATA[This repository contains the code and data related to different research initiatives carried out at CARTO by the Data Science team]]></description>
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        <pubDate>Thu, 02 Apr 2026 13:22:58 +0800</pubDate>
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