162 boosters for "research" — open source, verified from GitHub, ready to install
Arcanea InfoGenius Pro combines Google Search research with Gemini 3 Pro to generate visually rich infographics in 10 styles, helping developers and content creators quickly transform complex topics into engaging visual intelligence.
FaceSwap Copilot Instructions provides a structured guide for developing a React/TypeScript face-swapping web application with real-time ML capabilities. It benefits developers building entertainment, creative, or research-focused face manipulation tools.
John is a Product Manager agent that generates comprehensive PRDs and strategic product documentation by translating business vision into actionable development requirements. Product teams, startup founders, and business stakeholders benefit from structured, professional product planning without needing extensive PM expertise.
A passthrough agent that delegates tasks to gpt-5 via bash codex commands for research, second opinions, and bug fixes. Useful for developers needing an external AI perspective within claude_code workflows.
UX Designer agent that provides expert guidance on user experience design, interface design, user research, usability testing, and design systems for business intelligence platforms. Beneficial for product teams, designers, and developers building multi-tenant applications.
Daniel is a frontend design agent specializing in Tailwind 4, HTML, CSS, and Alpine.js for pixel-perfect UI development and responsive component creation. Ideal for developers building modern web interfaces and design systems.
A WhatsApp AI agent system prompt for Bambu Training Academy that qualifies applicants, answers questions, and books calls with the co-founder. Best suited for Claude-based platforms managing sales conversations.
Smith is a feedback validation agent that uses parallel research sub-agents to rigorously critique code feedback and plans, ideal for teams needing systematic validation of technical reviews.
A specialized agent that intelligently researches, validates, and categorizes knowledge sources for AI systems, determining optimal storage methods (URL references, local extracts, or embeddings) using parallel web scraping. Ideal for developers building knowledge-intensive agent systems who need automated source curation and validation.
"id": "ai.paperlantern/code", "name": "Paper Lantern", "description": "Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.",
This skill enables long-running deep research queries via Perplexity's API without triggering client timeouts, solving a real integration problem for Claude Code users who need extended research capabilities.
Integrates Perplexity's real-time web search and AI reasoning capabilities into Claude via MCP, enabling developers to build applications with live internet access and advanced research features.
Emma is a strategic product intelligence agent that helps teams conduct market research, competitive analysis, and develop product roadmaps across hospitality, entertainment, fitness, and retail industries. Ideal for product managers, consultants, and business strategists building multi-tenant platforms.
Atlas is positioned as a technical research agent but actually contains project-specific SEO strategy for DirectoryBolt, a business directory SaaS. It lacks reusability and doesn't align with its declared purpose.
"id": "ai.cookiy/cookiy", "description": "AI user research via study creation, interviews, recruitment, and reports.", "url": "https://github.com/cookiy-ai/cookiy-skill",
A knowledge curation agent that researches, validates, and determines optimal storage methods (URL reference, local excerpt, or embedding) for information sources using parallel web scraping. Ideal for AI engineers building knowledge-intensive agent systems who need intelligent source evaluation and integration.
Dewey is a lightweight research agent that delegates documentation and code research tasks to Gemini Flash, enabling quick lookups of best practices, library patterns, and production examples across the web and GitHub.
Libdocs MCP is a multi-agent documentation lookup and web research server that helps developers quickly find relevant information across repositories and the web. It benefits AI engineers and developers building on Claude who need intelligent context retrieval for complex codebases.
