dsh-deepread
De la autor
Evidence-first deep reading for books, articles, PDFs, and document sets. Extract core claims, argument structure, supporting evidence, source locations, confidence levels, knowledge maps, and recall questions. Use when the user asks to deep-read, analyze an article, extract claims, trace evidence, map knowledge, compare documents, or learn with the Feynman technique; also matches Chinese requests such as 精读、分析文章、核心观点、论证逻辑、知识地图、费曼读书法. Five modes are quick, deep, map, feynman, and book.
Instalare
npx skills add xiehuan123/dsh-deepread --skill dsh-deepread -a claude-code
Se instalează în .claude/skills/dsh-deepread/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 80
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Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- deepreadalirezarezvani/claude-skillsUse when the user asks to deeply read a book, article, PDF, or document set; extract claims and evidence; build a knowledge map; or learn through Feynman explanation and recall. Covers quick, deep, map, Feynman, and whole-book reading modes.Documente★ 29K
- deep-researchstaruhub/ClaudeSkillsUse this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need synthesis across multiple external sources, iterative follow-up research, or a reusable written artifact. Do not use for quick factual lookups, single-source summaries, simple Q&A, summarizing one document the user already provided, plan-only requests where the user explicitly defers the actual research, or when the user wants a short answer with no need for cited evidence (a short but evidence-backed conclusion is still a brief memo, which this skill covers). Chinese trigger examples: "帮我调研", "深度研究", "综述报告", "技术选型分析", "竞品研究", "政策分析".Știință★ 731
- paper-deep-readerLinwei-Chen/paper-deep-reader-skill为单篇学术论文生成来源可追溯、图文交错、零背景可进入且具博士级技术深度的中文或英文解读。默认按“一句话总结、背景与动机、核心方法、实验与结果、贡献与影响、结论”六部分成稿，首次出现即解释关键术语，用最小例子讲通机制，并截图、嵌入、逐一解读所有关键图表；兼容有视觉与纯文本环境。用户提供 PDF、URL、DOI、预印本标识、标题或全文并要求论文解读、精读、讲清楚、逐关键图表、方法/公式/实验解释时使用。只问局部问题时可定向回答；不用于全文逐句翻译或多论文综述。Știință★ 108
- deep-readertronghieu/agent-skillsRead, study, and answer questions about long books and papers without loading the whole text into one context window, keeping page-anchored notes as a reusable workspace. Use whenever the user asks to read, study, summarize, analyze, review, or answer questions about a long book, textbook, PDF, EPUB, thesis, dissertation, survey paper, or any document of roughly 50+ pages, in any language (Vietnamese "đọc sách", "tóm tắt sách", "phân tích luận án"). Also use when a `{slug}-notes/` workspace from a previous session sits next to a source file and the user asks a follow-up question about that book. Not for short documents (under ~30 pages) that fit in context; read those directly.Documente★ 89
- paper-readingjxtse/scientific-research-skillsReads and analyzes academic papers (arXiv preprints, conference / journal PDFs, Zotero items) at three configurable depths: quick skim (2 min), standard read (10 min), or deep analysis (30 min). Produces structured digests covering problem, method, key innovation, results, limitations, reproducibility, hidden assumptions, and connections to the user's other work. Use when the user shares an arXiv link, PDF, or paper title and asks to read / summarize / digest / TL;DR / analyze / review / critique / explain / break down a paper, asks about a paper's contributions / methods / results / equations / figures, wants to compare two papers side by side, or needs a reading note for their records.Știință★ 74
- paper-reading-zhMrGeDiao/paper-reading-zh中文论文深读、总结/TL;DR、工程拆解、按论文实现/复现、比较与证据审计。用户给出论文 PDF、链接、标题、摘要、正文或图表，或明确要读论文时使用。只有论文锚点且无附言时澄清阅读目标；只有阅读意图时问哪篇。已有论文时，“看看这篇”直接深读。不用于仅翻译、解释单个术语、生成 BibTeX、找或下载论文。Știință★ 108
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