Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
13,361 skills from 389 repositories · updated 12 minutes ago
917 skills
- paper-submissionbrycewang-stanford/Auto-Empirical-Research-SkillsEvaluate a paper's contribution novelty, identify best-fit SSCI journal fields and ABS star rating, and recommend 20 target journals. Trigger when user says "paper submission" / "paper-submission" / "投稿评估" / "期刊推荐" / "target journal" / "选刊".ScienceNo warnings★ 4.7K↓ —
- fred-economic-dataforyourhealth111-pixel/Vibe-SkillsQuery FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring U.S. and international economic indicators.ScienceNo warnings★ 3.8K↓ —
- kaggle-researchbrycewang-stanford/Auto-Empirical-Research-SkillsUse 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.ScienceNo warnings★ 4.7K↓ —
- 48-de-AIGC-skillsbrycewang-stanford/Auto-Empirical-Research-Skills🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.ScienceNo warnings★ 4.7K↓ —
- stata-table-builderbrycewang-stanford/Auto-Empirical-Research-SkillsBuild and review paper-ready regression, balance, and summary tables from Stata outputs. Use when the user needs a clean table for a draft, appendix, or coauthor share-out.ScienceNo warnings★ 4.7K↓ —
- assimilate-popular-workflowsa5c-ai/babysitterThis skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.ScienceReview first★ 1.9K↓ —
- paper-analysis-assistantanbeime/skill其他高等院校教师与数据科学家在追踪前沿学术时，当需要深度解析arXiv论文，用此技能可一键下载PDF并自动生成词频分析、双人播客、交互式网页、PPT演示与总结图，将数小时的文献阅读转化为多媒体内容，效率提升十倍！ScienceNo warnings★ 8.5K↓ —
- market-researchbrycewang-stanford/Auto-Empirical-Research-SkillsIndustry and market research. Market sizing, structure, competition, regulation, supply chains, pricing, M&A. Produces a single compact, source-cited research report with Porter's Five Forces, HHI / CR4, PESTLE, and trade flows. Supports UK, US, EU, Australia, and global scope, with multi-geography comparison.ScienceReview first★ 4.7K↓ —
- medical-imaging-reviewbrycewang-stanford/Auto-Empirical-Research-SkillsWrite comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.ScienceReview first★ 4.7K↓ —
- Getting Started with Research Superpowersbrycewang-stanford/Auto-Empirical-Research-SkillsIntroduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversalScienceReview first★ 4.7K↓ —
- academic-paper-strategistbrycewang-stanford/Auto-Empirical-Research-SkillsSystematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized paper outlines, (4) prepare for preprint submission, or (5) understand platform requirements and writing standards. Triggered by phrases like 'plan a paper on,' 'help me design a paper about,' 'identify research gaps in,' 'is this idea original,' or when users need structured research planning. The skill guides through three phases: Platform Analysis (identifying target venue and studying sample papers), Theoretical Framework (AI-driven literature search and gap identification), and Outline Optimization (structured design with reviewer-perspective self-assessment). Each phase includes quality evaluation standards and validation checkpoints. Output: optimized detailed outline ready for systematic writing (use with acadeScienceReview first★ 4.7K↓ —
- rowanforyourhealth111-pixel/Vibe-SkillsCloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.ScienceReview first★ 3.8K↓ —
- academic-paper-composerbrycewang-stanford/Auto-Empirical-Research-SkillsSystematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.ScienceReview first★ 4.7K↓ —
- notion-research-documentationPrat011/awesome-llm-skillsSearches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.ScienceNo warnings★ 1.8K↓ —
- research-proposalbrycewang-stanford/Auto-Empirical-Research-SkillsGenerate academic research proposals for PhD applications. Use when user asks to "write a research proposal", "create PhD proposal", "generate research plan", "撰写研究计划", "写博士申请", "doctoral proposal", or mentions specific research topics for PhD application. Supports STEM, humanities, and social sciences with field-specific adaptations. Follows Nature Reviews-style academic writing conventions. Supports both English and Chinese output based on user preference.ScienceReview first★ 4.7K↓ —
- econ-auditbrycewang-stanford/Auto-Empirical-Research-SkillsAudit economic analysis outputs (fiscal briefings, macro briefings, market research, longlists, and other quantitative economic documents) against methodology standards, academic literature, and common errors. Runs structured checks across core categories including counterfactual, additionality, discounting, double counting, distributional analysis, Aqua Book RIGOUR, and Flyvbjerg-style strategic misrepresentation detection. Returns a RAG scorecard with issues ranked by severity.ScienceReview first★ 4.7K↓ —
- survey-generatorrohitg00/pro-workflowCompile a structured literature survey on any AI/ML topic. Agent curates a research bundle (taxonomy + sections + bibliography of real papers) from a public anchor resource, then a chosen LLM generates the survey artifact. Output target is a wiki page (markdown), not a one-off HTML — survey lands in `<wiki>/derived/surveys/<slug>.md` with full bibliography rows in `sources.md`. Provider-agnostic (Anthropic/OpenAI/OpenRouter/Fireworks/custom OpenAI-compat). Use when the user asks for a "survey", "literature review", "lit review", or "deep dive" on a technical topic.ScienceNo warnings★ 2.9K↓ —
- wiki-builderrohitg00/pro-workflowStart, structure, and grow a persistent research wiki indexed in pro-workflow's SQLite knowledge base. Each wiki is a folder of markdown pages with provenance, plus a shadow FTS5 index so any session can recall it. Use when the user says "start a wiki", "add to wiki", "compile a page", "wiki on X", or wants a long-lived knowledge base on a topic, paper, product, person, project, or codebase.ScienceNo warnings★ 2.9K↓ —
- wiki-research-looprohitg00/pro-workflowAuto-grow a pro-workflow wiki by running a budget-capped BFS research loop over pluggable source fetchers (web, arXiv, GitHub). Each iteration pops a seed from the queue, fetches sources, drafts a wiki page, dedupes claims against existing pages, enqueues follow-up seeds. Halts on budget cap, depth cap, or convergence. Use when the user says "research <topic>", "grow the <slug> wiki", "auto-research", or wants a knowledge base that builds itself overnight.ScienceNo warnings★ 2.9K↓ —
- 科研可视化工具XiaoMaColtAI/math-modeling-skill从数据剖析到出版级成图的完整可视化工具。先做数据剖析（列类型/样本量/分布/异常值/分组结构/相关性）， 再结合论证目标推荐图型，主动拦截科研画图经典错误，产出 Nature / Science / IEEE / Elsevier / PNAS / 中文核心期刊级别的成图。覆盖数据 EDA、图表契约、选图决策、出版级绘制、程序自检 + AI 读图闭环、多格式 导出和文件审计。数学建模场景额外支持三类图体系（原始数据/过程/结果）、子问题覆盖检查和建模流程图规范。 当用户涉及论文配图、科研画图、数据可视化、选图、期刊投稿图、figure、出版级图表、matplotlib、seaborn、 plotly、误差棒、显著性标注、色盲安全配色、矢量图导出、中文论文图表、多面板时使用。ScienceNo warnings★ 1.9K↓ —Also in 1 other repo
- nihaishaJuneYaooo/nihaisha-nishi-tcmUse this skill when the user asks about Ni Haisha / 倪海厦 TCM course material, especially Shang Han Lun / 伤寒论, Jingui / 金匮要略, Zhongjing Xinfa / 仲景心法, clinical cases / 临床案例 / 倪师医案, Bagang Bianzheng / 八纲辨证, Fuyang Forum / 扶阳论坛, Yijinjing / 易筋经, Liang Dong dialogue / 梁冬对话倪师, Stanford lecture / 斯坦福大学演讲, Tianji / 天纪 / 易经 / 阳宅 / 紫微斗数, Huangdi Neijing / 黄帝内经, Shennong Bencao / 神农本草, acupuncture / 针灸, meridians, acupoints, acupuncture depth safety / 危险进针深度 / 气胸风险, six-channel pattern identification, symptom-to-formula routing, formula comparison, lesson review, board/PPT screenshot evidence, or course-derived study notes. This skill is for educational distillation and study support only, not medical diagnosis, prescriptions, dosage, individualized treatment, or self-administered acupuncture.ScienceNo warnings★ 2.2K↓ —
- nextflow-developmentanthropics/knowledge-work-pluginsRun nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.OfficialScienceReview first★ 31.3K↓ —
- telegram-readerhimself65/finance-skillsRead Telegram channels and groups for financial news and market research with the tdl CLI: list chats and channels, find a channel by name, and export recent messages or a date or ID range. Use this skill whenever the user wants to check their Telegram, see what's new in their channels, read or export messages from a news, crypto, or trading channel or group, or gather market news and signals posted on Telegram. Read-only: it cannot send messages or join or leave channels.ScienceReview first★ 3.4K↓ —
- hephaestus-stormagentlas-ai/Agentlas-OSUse when the user types /hep-storm or /agentlas-storm, says @Hephaestus storm <goal>, or asks to drive a goal to verified completion through a force-robust Stormbreaker loop. Stormbreaker routes the goal to real Agentlas specialists, materializes a dependency-ordered pipeline fabric, and runs each work packet as a verifier-first hardened loop that does not stall, run away, or claim false success. Use it for loop-worthy work — apps, sites, agents, automations, debugging, multi-step research, data/report generation. Trivial questions are answered directly, not stormed.ScienceReview first★ 1.6K↓ —Also in 3 other repos
notion-research-documentation
Prat011/awesome-llm-skills
ScienceUpdated Jul 14, 2026
From the author
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
Install
npx skills add Prat011/awesome-llm-skills --skill notion-research-documentation -a claude-code
Installs to .claude/skills/notion-research-documentation/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (No licence) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyNo network use seenLicence: no licence
Safety checks on SKILL.md
No warnings.
Why 77
Security100
Provenance79
Maintenance70
Licence25
Adoption52
Files (21)
- .DS_Store
- SKILL.md
- evaluations/.DS_Store
- evaluations/README.md
- evaluations/basic-research.json
- evaluations/research-to-database.json
- examples/competitor-analysis.md
- examples/market-research.md
- examples/technical-investigation.md
- examples/trip-planning.md
- reference/advanced-search.md
- reference/citations.md
- +9 more