162 boosters for "research" — open source, verified from GitHub, ready to install
"name": "autosearch", "version": "2026.04.26.2", "description": "Self-evolving deep research. Gets smarter every time you use it. Searches across channels, synthesizes cited reports, and learns which queries and platforms work best.",
ultraplan is a CLI tool that records multi-modal context (audio, screenshots, clipboard, keystrokes) from work sessions and converts them into detailed prompts for Claude analysis. Developers and researchers benefit by capturing complete context from meetings, debugging, or research workflows for later AI-assisted analysis.
Deep research specialist for Solana ecosystem. Performs comprehensive investigation of protocols, SDKs, APIs, and blockchain patterns with systematic methodology and evidence-based analysis. Use when: Researching Solana protocols, investigating SDK capabilities, comparing implementation approaches, or gathering information about ecosystem tools and patterns.
A quantum computing research agent that provides structured execution phases and library-first development practices for quantum research tasks. Useful for researchers and developers working on quantum computing projects within Claude-compatible environments.
"name": "awesome-supply-chain", "name": "Supply Chain Community", "url": "https://github.com/kishorkukreja"
Spec-Driven RE mit skalierbarer Governance. Specs sind Verträge, keine Vorschläge. Enforcement ist automatisch, nicht optional. SpecForge arbeitet ausschließlich mit: 1. Session-Kontext — aktuelle Konversation
"name": "oh-my-claudecode-research", "description": "Research-team agents for Claude Code: supervisor, analysis-implementer, paper-writer, figure-descriptor, reviewer, literature-curator.", "author": { "name": "Young-Eun Lee" },
"description": "AI-assisted spec crafting through research, interviews, and multi-LLM review. Like Geppetto carved Pinocchio from wood, transform rough ideas into living implementation plans.", "name": "Leonardo Flores", "url": "https://github.com/leonardocouy"
"name": "futuresearch", "description": "Give Claude Code a research team. Forecast, score, classify, or research every row of a dataset.", "name": "FutureSearch"
"name": "paper-to-course", "description": "Transform any academic paper into an interactive HTML course, Markdown notes, and PPTX slides. Converts research papers into self-contained courses with formula breakdowns, literature timelines, comparison tables, ablation diagrams, method chats, and compre
"name": "mountaineering-skills", "description": "Automated mountain route research combining PeakBagger data, weather forecasts, avalanche conditions, and trip reports into comprehensive beta documents", "name": "dreamiurg",
Deep Research is a 7-phase structured research protocol that helps users conduct comprehensive, multi-source investigations with verified citations and source triangulation. It benefits researchers, analysts, and anyone needing thorough, auditable research outputs.
Extracts structured datasets from academic papers by leveraging OpenAlex search and citation graph traversal. Researchers and AI scientists benefit from automating literature review and dataset creation workflows.
Search academic papers via the Semantic Scholar API using a structured 4-phase workflow. Parse the user's intent and choose a search strategy: Write ONE Python script. Example:
A Claude agent specialized in market research tasks that operates under library-first constraints to reuse and adapt existing components. Useful for business analysts and product teams needing automated market analysis capabilities.
Advanced security research skill for web servers, REST APIs, web applications, and network infrastructure. Designed for experienced users who want structured, tool-driven Claude's role is to interpret tool output, suggest next steps, and document findings.
A CLI tool for orchestrating AI agents at scale to analyze code repositories, manage GitHub collaborators, and conduct bulk research across multiple data sources including Notion and CSV. Ideal for developers and teams automating large-scale code analysis, data processing, and repository management tasks.
"name": "medical-mcps", "version": "0.1.17", "description": "Comprehensive biological and medical research data integration server providing unified access to 13+ specialized databases including Reactome (pathways), KEGG (pathways/diseases), UniProt (proteins), ChEMBL (drug discovery), PubMed (liter
"name": "inclusive-design-skills", "description": "Agentic skills for designing accessible, inclusive products — from cognitive accessibility to adaptive interfaces, inclusive research, and accessibility decision-making.", "cognitive-accessibility",
"name": "anysite-skills", "description": "Professional skills for data extraction and analysis using anysite MCP server. Covers LinkedIn, Instagram, Twitter/X, Reddit, YouTube, Y Combinator, SEC, and web scraping for lead generation, competitive intelligence, market research, social media analytics,
"name": "ads-creative", "description": "Automated ads creative generation — research brand DNA, fill 40 prompt templates, and generate images via viostudio.id API (nano-banana-2)", "name": "aidityasadhakim"
Deep Research is an advanced web research booster using Graph-of-Thoughts methodology to investigate fast-changing topics through hypothesis testing, source triangulation, and multi-tier analysis. It's designed for users and developers needing rigorous, current information on evolving subjects.
"description": "Plan-to-code pipeline: automated planning with 5-actor verification, then TDD execution with parallel agents. Formerly beast-plan.", "name": "Dmitrii Malakhov" "skills": "./skills/"
A Claude Code skill that enables research across Reddit, X, and the web within a custom time range (1-365 days), helping users stay current on topics with configurable depth and output formats.
