90 boosters for "research" — AI-graded, open source, ready to install
Heuristic scoring (no AI key configured).
A physics tutoring booster that adapts explanations from intuitive reasoning to formal derivations based on learner level. Ideal for students, educators, and researchers seeking physics help across all difficulty tiers.
This MCP server enables Claude to directly download and access YouTube video transcripts, making it easy for developers to integrate transcript extraction into AI workflows. It benefits content researchers, developers building transcript-based applications, and anyone needing programmatic access to YouTube video text.
Matchms enables mass spectrometry data processing and spectral analysis for metabolomics research, supporting multiple file formats and similarity calculations. Researchers and bioinformaticians working with MS data benefit from standardized workflows and compound identification.
Automates downloading books from Anna's Archive and uploading them to Google NotebookLM for AI-powered document analysis. Useful for researchers and students who want to create searchable knowledge bases from books.
Scaffold a new research project with standard structure, CLAUDE.md, and documented README. Use at the start of every new project.
Comet MCP Server integrates Perplexity's Comet browser with Claude, enabling agentic web browsing, deep research, and real-time monitoring directly within Claude Code. Developers and researchers benefit from automated, intelligent web interaction capabilities without leaving their AI workflow.
A mobile security vulnerability research knowledge base for Android and iOS, drawing from HackerOne public reports to guide security researchers and bug bounty hunters in vulnerability discovery techniques and code pattern analysis.
ClawPod enables reliable web scraping and Google searching by bypassing bot detection, CAPTCHAs, and geo-restrictions using residential proxies. Developers building web data extraction, market research, or automated browsing tools will find this invaluable.
Rijksmuseum MCP Server provides Claude with integrated access to the Rijksmuseum's artwork collection for exploration and analysis. It enables developers and researchers to build AI-powered applications that leverage museum data.
⚡⚡⚡ Research, analyze, and create an implementation plan
ScrapeGraphAI Scrapegraph MCP enables Claude and other language models to perform intelligent, enterprise-grade web scraping directly within their conversations. Developers, data analysts, and researchers benefit from automated data extraction without building custom scraping infrastructure.
An MCP server that integrates Open Library's vast book database into Claude, enabling AI assistants to search for books, retrieve author information, and access literary metadata. Useful for developers building book-focused AI applications, researchers, and anyone needing programmatic access to library data.
FHIRy is a Python package that converts FHIR healthcare data into pandas DataFrames, enabling data scientists and healthcare developers to perform analytics, machine learning, and AI on standardized health records. It's ideal for researchers and engineers working with health data who need quick, programmatic access to structured clinical datasets.
Automates the discovery and summarization of AI-related YouTube content from subscribed channels by fetching transcripts and generating Markdown reports. Useful for researchers, learners, and content curators who want to stay updated on AI topics without manually watching videos.
A PRD specialist agent that generates comprehensive product requirements documents by analyzing project patterns, assessing feature complexity, and researching best practices across your codebase. Ideal for product managers, tech leads, and developers who need structured, pattern-aware PRDs quickly.
Enables efficient searching of Zotero libraries through Python code execution, avoiding context crashes while providing multi-strategy search with automatic deduplication. Ideal for researchers and developers who need comprehensive, safe access to large reference collections.
This skill automates downloading books from Anna's Archive and uploading them to Google NotebookLM for interactive AI-powered reading. It benefits researchers, students, and knowledge workers who want to quickly build searchable knowledge bases from downloaded books.
Ed is a theoretical physicist agent that provides analytical solutions to complex physics problems using pen-and-paper methods, scaling arguments, and exactly solvable models across condensed matter, high energy physics, relativity, and related domains. Developers and researchers working on physics simulations, educational tools, and scientific computing will benefit from its rigorous analytical approach.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load spectral data from multiple formats, standardize metadata, calculate spectral similarities, and identify compounds for metabolomics workflows.
