{"id":"8bc9458b-d857-4c8f-a277-bf01690e4aaf","shortId":"69FFme","kind":"skill","title":"paper-analysis","tagline":"Deep analysis of AI research papers with type-specific prompts. Covers benchmark papers, methodology papers, and survey/position/blog posts. Use when the user asks to read, analyze, review, or summarize a research paper, or mentions 论文分析、论文阅读、paper review、benchmark analysis、方法论分析","description":"# Paper Analysis\n\n对 AI 研究论文进行\"极致剖析\"（Extreme Analysis），根据论文类型自动路由到对应的分析框架。\n\n## 论文类型判定与路由\n\n收到论文后，首先判定类型，然后读取对应的 prompt 文件：\n\n**Benchmark 论文** → 读取 [prompts/benchmark.md](prompts/benchmark.md)\n特征：提出新的评测数据集或评估框架，核心贡献是数据集构建和评估协议设计。\n\n**方法/算法论文** → 读取 [prompts/methodology.md](prompts/methodology.md)\n特征：提出新的模型架构、训练策略、推理方法或算法，核心贡献是技术创新。\n\n**综述/观点/博客** → 读取 [prompts/survey-opinion.md](prompts/survey-opinion.md)\n特征：Survey、Position Paper、Technical Blog、Opinion Piece，核心贡献是知识综合或观点论述。\n\n如果论文兼具多种特征（如提出新方法同时构建了 benchmark），以其**主要贡献**为准选择框架，并在分析中补充次要贡献维度的关键信息。\n\n## 用户输入\n\n用户只需提供论文标识（URL / PDF / 标题 / DOI）。所有其他资源（GitHub 仓库、Hugging Face、相关论文、作者信息）由 agent 主动搜索定位。\n\n## 共享指令（适用于所有类型）\n\n### 写作风格\n\n以段落叙述为主体，仅在数据表格、代码示例和指标公式处使用结构化格式。段落间需有清晰的逻辑衔接，如同撰写高质量技术综述。关键概念和术语使用**加粗**标注。\n\n### 术语规范\n\n使用专业、准确的中文术语，关键英文术语在括号中保留原文。\n\n### 穷尽式文献网络构建\n\n将论文视为\"节点\"，沿引用关系向外辐射。**必须追溯**的：所有直接对比的基线方法/benchmark 的原始论文。**应当检索**的：同期或更晚发表的解决相同问题的工作。**可选追溯**的：泛泛引用的背景工作。搜索是否有同期或后续工作也在解决相同问题，以判断本文的时效性和独特性。\n\n检查官方 GitHub 仓库的 README、核心代码/评估脚本、关键 issue 和 discussion。若有 Hugging Face 页面，检查 dataset card、实际样本和社区讨论。\n\n### 核心贡献者溯源\n\n调查核心作者（第一作者、通讯作者）的学术轨迹：Google Scholar 主页、个人网站、过往发表记录、社交媒体（Twitter/X）上关于本工作的讨论。理解这项工作在作者研究脉络中的位置——是长期研究线的延伸还是全新探索？哪些前序工作为本文奠定了基础？融入\"概览\"部分。\n\n### 社区采纳度与影响力\n\n检查论文的引用量和增长趋势。是否被后续重要工作（如主流模型技术报告）采纳？在 GitHub 上的 star 数和社区活跃度如何？是否有知名研究者的公开评价？\n\n### 指标详尽解释\n\n对所有评估指标提供 LaTeX 公式（$...$ 或 $$...$$），逐一解释公式中所有符号，适用时结合具体例子演示计算过程。\n\n### 资源不可用时的降级策略\n\n若论文未开源代码，明确声明并指出这本身是可复现性的风险。若数据集有访问限制，说明限制条件。若无法获取真实数据样本，构造功能等价的最小示例并明确标注为\"构造示例\"。禁止虚构不存在的资源。\n\n### Agent 能力边界\n\n若单次对话无法完成所有引用论文的深度阅读，优先覆盖：(1) 直接对比的基线工作 (2) 作者声称改进的具体缺陷的验证 (3) 核心实验结果的解读。在报告中注明哪些引用论文未能深度覆盖。","tags":["paper","analysis","read","skill","ayanami0730","agent-skills","ai-agent","claude-code","cursor","paper-reading","research-paper","skills"],"capabilities":["skill","source-ayanami0730","skill-paper-analysis","topic-agent-skills","topic-ai-agent","topic-claude-code","topic-cursor","topic-paper","topic-paper-reading","topic-research-paper","topic-skills"],"categories":["paper-read-skill"],"synonyms":[],"warnings":[],"endpointUrl":"https://skills.sh/Ayanami0730/paper-read-skill/paper-analysis","protocol":"skill","transport":"skills-sh","auth":{"type":"none","details":{"cli":"npx skills add Ayanami0730/paper-read-skill","source_repo":"https://github.com/Ayanami0730/paper-read-skill","install_from":"skills.sh"}},"qualityScore":"0.454","qualityRationale":"deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 9 github stars · SKILL.md body (1,596 chars)","verified":false,"liveness":"unknown","lastLivenessCheck":null,"agentReviews":{"count":0,"score_avg":null,"cost_usd_avg":null,"success_rate":null,"latency_p50_ms":null,"narrative_summary":null,"summary_updated_at":null},"enrichmentModel":"deterministic:skill-github:v1","enrichmentVersion":1,"enrichedAt":"2026-05-18T19:08:45.911Z","embedding":null,"createdAt":"2026-05-18T13:14:25.972Z","updatedAt":"2026-05-18T19:08:45.911Z","lastSeenAt":"2026-05-18T19:08:45.911Z","tsv":"'/benchmark':139 '1':217 '2':219 '3':221 'agent':115,213 'ai':7,49 'analysi':3,5,44,47,53 'analyz':30 'ask':27 'benchmark':16,43,61,96 'blog':90 'card':165 'cover':15 'dataset':164 'deep':4 'discuss':158 'doi':106 'extrem':52 'face':111,161 'github':108,150,192 'googl':172 'hug':110,160 'issu':156 'latex':199 'mention':38 'methodolog':18 'opinion':91 'paper':2,9,17,19,36,41,46,88 'paper-analysi':1 'pdf':104 'piec':92 'posit':87 'post':22 'prompt':14,59 'prompts/benchmark.md':64,65 'prompts/methodology.md':72,73 'prompts/survey-opinion.md':83,84 'read':29 'readm':152 'research':8,35 'review':31,42 'scholar':173 'skill' 'skill-paper-analysis' 'source-ayanami0730' 'specif':13 'star':194 'summar':33 'survey':86 'survey/position/blog':21 'technic':89 'topic-agent-skills' 'topic-ai-agent' 'topic-claude-code' 'topic-cursor' 'topic-paper' 'topic-paper-reading' 'topic-research-paper' 'topic-skills' 'twitter/x':178 'type':12 'type-specif':11 'url':103 'use':23 'user':26 '上关于本工作的讨论':179 '上的':193 '个人网站':175 '为准选择框架':99 '主动搜索定位':116 '主要贡献':98 '主页':174 '仅在数据表格':121 '仓库':109 '仓库的':151 '代码示例和指标公式处使用结构化格式':122 '以其':97 '以判断本文的时效性和独特性':148 '以段落叙述为主体':120 '优先覆盖':216 '作者信息':113 '作者声称改进的具体缺陷的验证':220 '使用专业':129 '公式':200 '共享指令':117 '关键':155 '关键概念和术语使用':125 '关键英文术语在括号中保留原文':131 '写作风格':119 '准确的中文术语':130 '加粗':126 '博客':81 '可选追溯':144 '同期或更晚发表的解决相同问题的工作':143 '和':157 '哪些前序工作为本文奠定了基础':182 '在':191 '在报告中注明哪些引用论文未能深度覆盖':223 '如主流模型技术报告':189 '如同撰写高质量技术综述':124 '如提出新方法同时构建了':95 '如果论文兼具多种特征':94 '实际样本和社区讨论':166 '对':48 '对所有评估指标提供':198 '将论文视为':133 '并在分析中补充次要贡献维度的关键信息':100 '应当检索':141 '必须追溯':136 '或':201 '所有其他资源':107 '所有直接对比的基线方法':138 '指标详尽解释':197 '推理方法或算法':77 '提出新的模型架构':75 '提出新的评测数据集或评估框架':67 '搜索是否有同期或后续工作也在解决相同问题':147 '收到论文后':56 '数和社区活跃度如何':195 '文件':60 '方法':69 '方法论分析':45 '明确声明并指出这本身是可复现性的风险':206 '是否有知名研究者的公开评价':196 '是否被后续重要工作':188 '是长期研究线的延伸还是全新探索':181 '术语规范':128 '极致剖析':51 '构造功能等价的最小示例并明确标注为':210 '构造示例':211 '标注':127 '标题':105 '核心代码':153 '核心实验结果的解读':222 '核心贡献是技术创新':78 '核心贡献是数据集构建和评估协议设计':68 '核心贡献是知识综合或观点论述':93 '核心贡献者溯源':167 '根据论文类型自动路由到对应的分析框架':54 '检查':163 '检查官方':149 '检查论文的引用量和增长趋势':187 '概览':184 '段落间需有清晰的逻辑衔接':123 '沿引用关系向外辐射':135 '泛泛引用的背景工作':146 '然后读取对应的':58 '特征':66,74,85 '理解这项工作在作者研究脉络中的位置':180 '用户只需提供论文标识':102 '用户输入':101 '由':114 '的':137,142,145 '的原始论文':140 '的学术轨迹':171 '直接对比的基线工作':218 '相关论文':112 '研究论文进行':50 '社交媒体':177 '社区采纳度与影响力':186 '禁止虚构不存在的资源':212 '穷尽式文献网络构建':132 '第一作者':169 '算法论文':70 '综述':79 '能力边界':214 '节点':134 '若单次对话无法完成所有引用论文的深度阅读':215 '若数据集有访问限制':207 '若无法获取真实数据样本':209 '若有':159 '若论文未开源代码':205 '融入':183 '观点':80 '训练策略':76 '论文':62 '论文分析':39 '论文类型判定与路由':55 '论文阅读':40 '评估脚本':154 '说明限制条件':208 '读取':63,71,82 '调查核心作者':168 '资源不可用时的降级策略':204 '过往发表记录':176 '适用于所有类型':118 '适用时结合具体例子演示计算过程':203 '逐一解释公式中所有符号':202 '通讯作者':170 '部分':185 '采纳':190 '页面':162 '首先判定类型':57","prices":[{"id":"bfdbb15e-44ac-4089-b31d-d40e1622e3c4","listingId":"8bc9458b-d857-4c8f-a277-bf01690e4aaf","amountUsd":"0","unit":"free","nativeCurrency":null,"nativeAmount":null,"chain":null,"payTo":null,"paymentMethod":"skill-free","isPrimary":true,"details":{"org":"Ayanami0730","category":"paper-read-skill","install_from":"skills.sh"},"createdAt":"2026-05-18T13:14:25.972Z"}],"sources":[{"listingId":"8bc9458b-d857-4c8f-a277-bf01690e4aaf","source":"github","sourceId":"Ayanami0730/paper-read-skill/paper-analysis","sourceUrl":"https://github.com/Ayanami0730/paper-read-skill/tree/main/skills/paper-analysis","isPrimary":false,"firstSeenAt":"2026-05-18T13:14:25.972Z","lastSeenAt":"2026-05-18T19:08:45.911Z"}],"details":{"listingId":"8bc9458b-d857-4c8f-a277-bf01690e4aaf","quickStartSnippet":null,"exampleRequest":null,"exampleResponse":null,"schema":null,"openapiUrl":null,"agentsTxtUrl":null,"citations":[],"useCases":[],"bestFor":[],"notFor":[],"kindDetails":{"org":"Ayanami0730","slug":"paper-analysis","github":{"repo":"Ayanami0730/paper-read-skill","stars":9,"topics":["agent-skills","ai-agent","claude-code","cursor","paper","paper-reading","research-paper","skills"],"license":null,"html_url":"https://github.com/Ayanami0730/paper-read-skill","pushed_at":"2026-03-24T07:32:18Z","description":"AI Agent prompts for deep paper reading — auto-routes to benchmark, methodology, or survey/opinion analysis frameworks. Works with Cursor, Claude Code, Codex, and OpenCode.","skill_md_sha":"797c976aa0e8b9e96eb924fa5c0b3bdaa8678141","skill_md_path":"skills/paper-analysis/SKILL.md","default_branch":"main","skill_tree_url":"https://github.com/Ayanami0730/paper-read-skill/tree/main/skills/paper-analysis"},"layout":"multi","source":"github","category":"paper-read-skill","frontmatter":{"name":"paper-analysis","description":"Deep analysis of AI research papers with type-specific prompts. Covers benchmark papers, methodology papers, and survey/position/blog posts. Use when the user asks to read, analyze, review, or summarize a research paper, or mentions 论文分析、论文阅读、paper review、benchmark analysis、方法论分析."},"skills_sh_url":"https://skills.sh/Ayanami0730/paper-read-skill/paper-analysis"},"updatedAt":"2026-05-18T19:08:45.911Z"}}