Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 870 files from 1 769 authors, of which 62 217 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
| 诺贝尔医学奖得主Jeffrey C. Hall的思维视角。2017年因发现昼夜节律分子机制获奖。 核心镜片：基础研究的长期主义、模型生物的非直觉力量、负反馈回路的哲学。 调研来源：14条（诺奖官网一手采访3篇、学术论文6篇、权威媒体5篇）。 心智模型：4个。触发词：「Hall视角」「果蝇哲学」「节律思维」「基础研究」。
| 诺贝尔奖得主Katalin Karikó的认知框架——40年逆共识坚持、从边缘到改变世界的思维操作系统。 核心镜片：内在信念驱动、问题导向超越领域、实验验证高于同行评价。 触发词：「卡里科」「Karikó」「mRNA思维」「逆共识坚持」「长期主义科学家」「被低估的天才」。
| 🏅 诺贝尔奖得主认知框架库。输入人名/主题→自动匹配诺奖得主思维视角，或直接激活指定得主的认知框架。 覆盖：2004-2025年诺贝尔生理学或医学奖全部55位得主。 用途：「用Karikó的视角分析」「哪个诺奖得主适合思考这个问题」「蒸馏某位新得主」。 触发词：「诺奖」「nobel」「XX的诺奖视角」「有没有诺奖级别的思维」「蒸馏诺奖得主」。
| 诺贝尔医学奖得主Ralph M. Steinman（2011年）思维框架。树突状细胞发现者， 在近20年学术质疑中坚守一个发现，用数据而非争辩回应怀疑，最终开创整个免疫学新领域。 用自己的发现治疗自己的胰腺癌——科学家的终极信仰实验。 6维度蒸馏，一手来源为主。触发词：「Steinman视角」「树突状细胞思维」「长期坚守」「数据回应质疑」。
| Robert G. Edwards (1925-2013) 的思维框架与决策模式。2010年诺贝尔生理学或医学奖得主，体外受精(IVF)之父。 基于12个一手/二手来源的深度调研，提炼4个核心心智模型、7条决策启发式和完整的表达DNA。 用途：作为思维顾问，用Edwards的视角分析问题——特别是在科学创新、伦理争议、长期主义和跨学科协作场景中。 当用户提到「用Edwards的视角」「IVF之父怎么看」「Edwards模式」「Robert Edwards perspective」时使用。
| 诺贝尔奖得主山中伸弥（Shinya Yamanaka）的认知框架。iPS诱导多能干细胞发现者，2012年诺贝尔生理学或医学奖。 核心镜片：临床痛点驱动的减法科学家——从24个因子削减到4个，从外科手术室走向诺贝尔奖。 触发词：「山中伸弥」「Yamanaka」「iPS细胞」「减法思维」「临床驱动研究」「化繁为简」。 调研来源：15+一手来源（Nobel官方、Cell论文、CiRA官网、多个采访），6个研究文件。 心智模型：4个 | 决策启发式：7条 | 诚实边界：5条
| 诺贝尔医学奖得主屠呦呦（Tu Youyou, 2015）的思维框架蒸馏。 核心镜片：从传统智慧中提取科学灵感的"古今转化"思维；低温突破决策。 警告：信息密度低（公开演讲/访谈极少），心智模型基于有限素材推断，诚实边界篇幅大。 触发词：「屠呦呦视角」「青蒿素思维」「古今转化」「传统中药现代化」。
| 2024年诺贝尔生理学或医学奖得主Victor Ambros的思维框架与表达方式。基于诺奖官网访谈、诺贝尔讲座、Lasker奖演讲、学术论文等20+个一手和二手来源的深度调研， 提炼4个核心心智模型、7条决策启发式和完整的表达DNA。 用途：作为思维顾问，用Victor Ambros的视角分析问题、审视决策、提供反馈——特别是关于基础研究价值、长期主义、异常数据探索等议题。 当用户提到「用Ambros的视角」「Ambros会怎么看」「microRNA思维」「基础研究价值」「长期主义科学」时使用。
Browser automation via agent-browser CLI for web navigation, form filling, screenshots, scraping, login flows, and UI testing.
>- Critically review, score, compare, and rank one or more AI scientist outputs for biology, bioinformatics, computational life science, or adjacent research tasks. Trigger when the user asks to evaluate notebooks, code, figures, analyses, manuscripts, software, or final reports produced by AI scientists; compare multiple AI scientists on the same task; judge publication readiness; or audit rigor, reproducibility, novelty, and task completion. Do not use this skill to perform the original research task itself unless the user is explicitly asking for a reviewer-style audit of already produced outputs.
Search arXiv preprints through the official arXiv API and turn arXiv IDs into local Markdown summaries. Use when you need CS, math, physics, or quantitative biology preprints, especially recent submissions that may not yet appear in peer-reviewed literature indexes.
Create publication-quality matplotlib/seaborn charts with readable axes, tight layout, and curated palettes.
Functional annotation and taxonomy inference from sequence homology.
Assemble genomes/metagenomes and produce assembly QC artifacts.
Perform metagenomic binning with QuickBin, refinement, and QC with completeness/contamination checks.
Initialize a bioinformatics project scaffold with reproducible environments, schemas, and data cataloging. Use for new projects or repo setup.
Call genes and annotate basic features for prokaryotes, viruses, and eukaryotes.
Evaluate scientific rigor, methods, biases, and evidence quality for claims, papers, and study designs.
Build marker gene alignments and phylogenetic trees.
Design and scaffold bioinformatics pipelines using Prefect+Dask for local/distributed execution or Nextflow for HPC schedulers.
Cluster proteins into orthogroups and derive pangenome matrices.
Ingest, QC, and map reads with reproducible outputs. Use for raw read processing and coverage stats.
Aggregate results, train ML models, and produce reports with validated references.
Structure prediction and structure-based annotation.
Detect, classify, and QC viral contigs.
Generate reproducible Methods documentation from workflow run artifacts (Nextflow/Snakemake/CWL), including exact commands, versions, parameters, QC gates, and outputs.
Search bioRxiv preprints through the official bioRxiv API and locally filter titles, abstracts, and authors for keyword queries. Use when you need recent biology preprints, bioRxiv-native metadata, date-range scans, DOI lookups, or author shortlists that may not yet appear in peer-reviewed literature indexes.
Query the Crossref REST API for DOI validation, title search, citation metadata, and bibliography audits. Use when you need DOI lookup, title-to-DOI matching, or reference metadata cleanup.
Fetch current API and SDK documentation with the chub CLI. Use when writing or reviewing code against fast-changing APIs, especially when the user asks for the latest or current docs.
Queries JGI Lakehouse (Dremio) for genomics metadata from GOLD, IMG, Mycocosm, Phytozome. Downloads genome files from JGI filesystem using IMG taxon OIDs and links JGI taxon OIDs to read files through PMO/GOLD identifiers and JAMO. Use when working with JGI data, GOLD projects, IMG annotations, or downloading genomes.
Run a multi-agent scientific manuscript review with parallel specialist reviewers, disagreement checks, and an editor meta-review. Use when reviewing a manuscript, preprint, revision, or rebuttal in Codex or Claude Code.
Author, execute, and deliver reproducible analysis notebooks in marimo (default) or Jupyter, with all cells run end-to-end and figures embedded. Also converts between marimo and Jupyter on request.
Build production-ready Plotly Dash dashboards with consistent theming, clear layouts, and performant callbacks.
Search the PMC Open Access literature with polars-dovmed. Author structured JSON queries directly, then use the hosted API when an API key is available or fall back to local dovmed scan over PMC, bioRxiv, or both parquet corpora.
Structured, decision-ready review framework for AI/ML, computational biology, and bioscience proposals. Use when evaluating grant, project, or funding proposals.
Claude Skills — questions
Answers built from the skills we actually parsed.