13 hand-picked Research AI skills with features, install steps and official links — for Claude, Cursor and ChatGPT.
Privacy-first real-time web search with AI summaries and citations. Regular and deep-research modes, no tracking.
Privacy-preserving search
High-quality web search + page crawling + GitHub code context retrieval — built for technical research and code-related queries.
Semantic similarity search
ChatGPT meets the Wolfram Alpha compute engine: complex math, statistics and scientific data with far higher precision than a plain LLM.
A 30k-star research powerhouse: 140 ready-to-use science skills plus 100+ scientific databases across biology, chemistry, medicine and drug discovery — used by 160k+ scientists.
Literature & data analysis
17k stars: an unofficial Python API + agent skill for Google NotebookLM — full programmatic access, including features the web UI doesn't expose.
Audio overview generation
Batch notebook management
The definitive 27k-star skill map: 1400+ curated skills from official teams (Anthropic, Google, Vercel, Stripe…) and the community — hand-picked, no AI slop.
Brave's official search bundle: web, image, video, news and local business search plus AI-generated answers — privacy-first, real-time retrieval.
AI answers with citations
An AI agent skill that searches Reddit, X, YouTube, TikTok, HN, Polymarket and GitHub in parallel. It scores by upvotes, likes and real-money bets rather than editors, then an AI judge synthesizes one brief on what a person or topic has been doing in the last 30 days.
Parallel multi-platform search
Scored by real engagement
AI judge writes the brief
Recent activity on any topic
book-to-skill distills any technical book (PDF/EPUB/DOCX and more) into a skill your agent loads on demand: it generates core mental models plus a chapter index, per-chapter files, a glossary, a patterns file, and a cheatsheet, with chapters loaded only when asked. Answering one question costs 24–51× fewer tokens than dumping the book into context, and answers come from the real text — no hallucination. It follows the open Agent Skills standard and works in Claude Code, GitHub Copilot CLI, and Amp.
Turn a book into an on-demand skill
24–51× fewer tokens vs a context dump
Generates index, glossary, cheatsheet
An academic research skill pack for Claude Code, covering the full paper pipeline from research and writing through peer review, revision and finalizing. It offloads the grunt work — hunting references, formatting citations, verifying data, checking logical consistency — while trust-chain provenance and claim-audit gates curb hallucination, keeping the human in the loop rather than fully automating.
Full research-to-publish pipeline
Auto-find & format citations
Style calibration to your voice
Citation trust & claim-audit gates
One line gives your AI agent "eyes on the internet" — read and search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, and any web page, for free. Each platform uses primary-plus-fallback multi-backend routing, so when one access method breaks it switches automatically — no paid APIs, proxies, or logins to wrangle yourself.
Read & search Twitter/Reddit/YT
Bilibili, XiaoHongShu, web pages
All tools free and open source
Multi-backend auto-failover
A Markdown-only skill pack that lets an agent do machine-learning research "in its sleep": from idea discovery through running experiments to writing the paper, with cross-model review loops keeping each step honest. No framework, no lock-in — runs on Claude Code, Codex, Cursor and more.
Idea-to-paper research flow
Cross-model anti-fabrication review
An open-source library of 98 AI research and engineering skills. Package them into your Claude Code, Codex or Gemini agent and it becomes an AI research agent that can go from idea and literature survey to running experiments and writing the paper. Spans 23 categories, sourced from official repos and real GitHub issues.
98 AI research & eng skills
Training, inference, RAG, eval
autoresearch orchestration
From idea to finished paper