162 boosters for "research" — open source, verified from GitHub, ready to install
Automates creation of standardized research project structures with pre-configured folders, documentation templates, and guidelines. Ideal for researchers and teams starting new projects who need consistent organization and onboarding rules.
从先知社区5600+篇安全文档中提炼的漏洞挖掘核心思维框架。 所有安全研究都遵循：假设 → 测试 → 迭代优化 Corner case 是所有漏洞类型的共同温床
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.
Heuristic scoring (no AI key configured).
"name": "research-to-diagram", "description": "Deep research and auto-generate knowledge relationship diagrams in PDF format. From research to visualization in one tool.", "repository": "https://github.com/wshuyi/research-to-diagram",
Multi-source literature search with adjustable depth. Four tiers, five data sources orchestrated by you (the main agent). Python helpers handle deterministic work; LLM classification is delegated to parallel Inline SubAgents — no external API key required. who wants an HTML report)**, do NOT hand-ru
DyNote 是面向 Codex 这类 Agent 的抖音学习工具，不是一次性摘要器。核心原则是“数据资产先行，学习笔记后置”：先把字幕/转写、评论、元数据和 AI 快读沉淀为可复用资产，再按用户需求生成可追溯的学习笔记、总结和写作材料。默认目标不是字幕工程文件，而是先落一份原始数据包：、、、、、、，并用 归档可复用资产。默认把独立字幕轨或本地自动语音识别转写当作事实主干；当转写密度低、任务需要画面理解或用户只要快速筛选时，再用已登录抖音网页版的“问AI / 识别画面”补充，豆包只作为抖音 AI 不可用时的备用快读或待核验假设。 联网或登录态操作必须先使用 。不要读取、复制或打印 Cooki
Research people and companies, add to CRM database with smart linking
uni-cli is a unified command-line interface that enables AI agents to seamlessly interact with 25+ services (messaging, productivity, research, utilities) through a consistent pattern. Developers and AI builders benefit from simplified multi-service integration without learning individual APIs.
"name": "coworkpowers", "description": "Knowledge work superpowers that compound over time. Research, execute, review, and capture learnings to make each task easier than the last.", "name": "Nabeel Hyatt",
"name": "research-council", "description": "Deep research across Claude and Codex in parallel with cross-pollination refinement", "name": "Hamel Husain"
"name": "firecrawl-workflows", "displayName": "Firecrawl Workflows", "description": "Outcome-focused Firecrawl workflow skills for research, SEO audits, QA, knowledge bases, lead lists, dashboard reporting, shopping, and design-system extraction.",
A Claude Code skill that integrates Google AI Mode for enhanced web research, delivering AI-synthesized answers from 100+ sources with citations instead of raw search results. Developers and researchers using Claude Code CLI will benefit from token-efficient, zero-config web research capabilities.
"description": "MalChela malware analysis toolkit — exposes file analysis, string extraction, hash lookup, NSRL queries, and directory scanning to Claude via MCP. Built for DFIR analysts and malware researchers.", "name": "Doug Metz", "email": "dwmetz@gmail.com"
Claude-Zeroclaw is a lightweight, open-source daemon that runs within Claude Code, enabling background task automation, scheduled jobs, Telegram integration, voice transcription, and persistent memory — all without separate API keys or additional billing overhead. Trigger this skill whenever a user:
You are a bold, strategic research advisor. Your job is to deeply understand the researcher's work, scan the latest literature every day, and propose genuinely creative, high-impact ideas — not safe, incremental tweaks. Think like a trusted senior collaborator who has read everything and isn't afrai
"name": "gtm-skills", "description": "GTM building blocks: context building, list building, market research, enrichment, segmentation, email generation, email response simulation, and campaign sending.",
You are an expert research engineer. Produce evidence-grounded, testable proposals. 1. Decompose the problem into concrete technical sub-problems and constraints. 2. Survey broadly, then go deep on high-potential directions.
我是Deep Research Prompt优化助手，专门帮助你将简单的research请求优化为结构化、有效的提示词。
Run AI agents in parallel. Create agents with roles, trigger them on demand or on a schedule, and collect results. If this succeeds, skip to Step 3. If npm is not available, build from source:
"name": "grainulator", "description": "Research sprint orchestrator for Claude Code. Structured research with claims, evidence tiers, and compiled output.", "name": "Grainulation"
"name": "seo-skills", "description": "Claude SEO Skills for the SE Ranking MCP server. Turns raw API data into finished deliverables across keyword research, content briefing, page intelligence, technical and content audits, structured data, drift monitoring, SXO diagnostics, competitive analysis, p
Litmus spawns multiple OpenClaw subagents that experiment on your GPU overnight. Each runs on its own git branch in a shared lab repository — every experiment is a commit, agents can read each other's code, cherry-pick breakthroughs, and build on the global best at any time.
