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.
7,508 skills from 198 repositories · updated 18 minutes ago
203 skills
- citation-crosscheckwanshuiyin/Auto-claude-code-research-in-sleepDouble-blind bibliographic cross-check: one agent extracts each cited entry verbatim from the local .bib, a second independently re-fetches the same paper's record from the web while blind to the .bib, and a third extractor emits a mechanical field-by-field delta to catch dropped/re-ordered authors, wrong years, wrong venues, and bad DOIs/arXiv ids. The main agent (never a shard) assigns the MATCH/MINOR/MISMATCH verdict per reference, and exports a side-by-side spreadsheet. Use when user says "citation crosscheck", "double-blind citation check", "verify bib against scholar", "bib field audit", "引用交叉核对", or before submission when bibliography FIELD accuracy (not just existence) must be certified.DataNo warnings★ 17.8K↓ —
- citation-crosscheckwanshuiyin/Auto-claude-code-research-in-sleepConditionally double-blind bibliographic cross-check (double-blind only when the host can isolate the web agent; a flag-only heuristic when isolation can't be attested): one agent extracts each cited entry verbatim from the local .bib, a second independently re-fetches the same paper's record from the web while blind to the .bib, and a third extractor emits a mechanical field-by-field delta to catch dropped/re-ordered authors, wrong years, wrong venues, and bad DOIs/arXiv ids. The main agent (never a shard) assigns the MATCH/MINOR/MISMATCH verdict per reference, and exports a side-by-side spreadsheet. Use when user says "citation crosscheck", "double-blind citation check", "verify bib against scholar", "bib field audit", "引用交叉核对", or before submission when bibliography FIELD accuracy (not just existence) must be certified.DataNo warnings★ 17.8K↓ —
- fullstack-devMiniMax-AI/skillsFull-stack backend architecture and frontend-backend integration guide. TRIGGER when: building a full-stack app, creating REST API with frontend, scaffolding backend service, building todo app, building CRUD app, building real-time app, building chat app, Express + React, Next.js API, Node.js backend, Python backend, Go backend, designing service layers, implementing error handling, managing config/auth, setting up API clients, implementing auth flows, handling file uploads, adding real-time features (SSE/WebSocket), hardening for production. DO NOT TRIGGER when: pure frontend UI work, pure CSS/styling, database schema only.OfficialDataNo warnings★ 13.7K↓ —
- pydantic-models-pymicrosoft/skillsCreate Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.OfficialDataNo warnings★ 3.1K↓ —
- Neon AutomationComposioHQ/awesome-claude-skillsAutomate Neon serverless Postgres operations -- manage projects, branches, databases, roles, and connection URIs via the Composio MCP integration.DataNo warnings★ 77.6K↓ —Also in 1 other repo
- Gong AutomationComposioHQ/awesome-claude-skillsAutomate Gong conversation intelligence -- retrieve call recordings, transcripts, detailed analytics, speaker stats, and workspace data -- using natural language through the Composio MCP integration.DataNo warnings★ 77.6K↓ —Also in 1 other repo
- g1brycewang-stanford/Auto-Empirical-Research-SkillsVS-Enhanced Journal Matcher with Journal Intelligence MCP — Real-time journal data pipeline with checkpoint-based human decisions. Uses OpenAlex + Crossref APIs for live metrics. Light VS applied: Avoids IF-centric recommendations + multi-dimensional matching strategy Use when: selecting target journals, planning submissions, comparing publication options Triggers: journal, submission, impact factor, academic journal, publication, submitDataNo warnings★ 4.7K↓ —
- deepstream-devNVIDIA/skillsNVIDIA DeepStream SDK development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.DataNo warnings★ 3.7K↓ —
- dataset-quality-auditzebbern/claude-code-guideRun comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when users ask to check data quality, find missing or duplicate values, detect outliers, validate formats, profile data, or clean data.DataNo warnings★ 4.7K↓ —
- geo-databaseforyourhealth111-pixel/Vibe-SkillsAccess NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.DataNo warnings★ 3.7K↓ —
- pubmed-databaseforyourhealth111-pixel/Vibe-SkillsDirect REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.DataNo warnings★ 3.7K↓ —
- analyzebrycewang-stanford/Auto-Empirical-Research-SkillsEnd-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review. Supports R, Stata, Python, Julia. Replaces /data-analysis.DataNo warnings★ 4.7K↓ —
- database-scoutzebbern/claude-code-guideExplore SQLite and PostgreSQL databases: list tables, inspect schemas (columns/types/constraints), preview data, generate Mermaid ER diagrams, and run safe read-only queries. Triggered by requests to explore a database, view table structures, describe tables, generate diagrams, or query data, and by keywords like database exploration, schema, ER diagram, or SQL query.DataNo warnings★ 4.7K↓ —
- setupbrycewang-stanford/Auto-Empirical-Research-SkillsDiverga v12.0 setup wizard. 4-step researcher profile setup. Captures discipline, experience, tools, database access, and Agent Teams + VS Arena preference. Triggers: setup, configure, 설정, installDataNo warnings★ 4.7K↓ —
- polarsforyourhealth111-pixel/Vibe-SkillsFast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.DataNo warnings★ 3.7K↓ —
- astropyforyourhealth111-pixel/Vibe-SkillsComprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.DataNo warnings★ 3.7K↓ —
- i3brycewang-stanford/Auto-Empirical-Research-SkillsRAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text extraction, chunking, and vector database creation Absorbed B5 (Parallel Document Processor) capabilities Use when: building RAG, creating vector database, downloading PDFs, embedding documents, batch processing Triggers: build RAG, create vector database, download PDFs, embed documents, batch PDF processingDataNo warnings★ 4.7K↓ —
- academic-baselinebrycewang-stanford/Auto-Empirical-Research-SkillsUse when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other superpapers skills.DataNo warnings★ 4.7K↓ —
- i1brycewang-stanford/Auto-Empirical-Research-SkillsPaper Retrieval Agent - Multi-database paper fetching from Semantic Scholar, OpenAlex, arXiv Handles rate limiting, deduplication, and PDF URL extraction Use when: fetching papers, searching databases, paper retrieval Triggers: fetch papers, retrieve papers, database search, Semantic Scholar, OpenAlex, arXivDataNo warnings★ 4.7K↓ —
- sql-insightzebbern/claude-code-guideTranslate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. Triggered when users ask to convert questions into SQL, improve slow queries, tune indexes, analyze execution plans, or mention keywords like NL2SQL, query tuning, or full table scan.DataNo warnings★ 4.7K↓ —
- exploratory-data-analysisforyourhealth111-pixel/Vibe-SkillsPerform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.DataNo warnings★ 3.7K↓ —
- data-reportZJU-REAL/Easel把 CSV、Excel 或 JSON 数据生成包含 KPI、图表和洞察的完整可视化报告页。当用户说“数据报告、CSV/Excel 转报告、做 KPI 看板、生成可视化报告页”时使用。单张图表用 chart-visualization；信息图或 GIF 动画图表用 infographic。DataNo warnings★ 3.9K↓ —
- infographicZJU-REAL/Easel将数据或文字内容转化为可视化信息图，支持静态（AntV）和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画；要单张静态图片 URL 用 chart-visualization，要 CSV/JSON→整页报告用 data-reportDataNo warnings★ 3.9K↓ —
- skill-publish-analyticsZJU-REAL/Easel分析发布日志数据，从发布时间、标签效果、内容类型、粉丝增长四个维度归因内容表现，输出可执行的优化建议。 当用户说"发布数据分析""归因分析""什么时间发好""标签效果""内容表现分析""发布日志分析"时使用。 和 skill-social-performance-review 的区别：本 SKILL 从发布日志做四维归因，review 做跨平台月度组合复盘。DataNo warnings★ 3.9K↓ —
academic-baseline
brycewang-stanford/Auto-Empirical-Research-Skills
DataUpdated 2 days ago
From the author
Use when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other superpapers skills.
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-baseline -a claude-code
Installs to .claude/skills/academic-baseline/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyNo network use seenLicence: Custom or unclear
Safety checks on SKILL.md
No warnings.
Why 85
Security100
Provenance84
Maintenance100
Licence45
Adoption58
Files (1)
- SKILL.md