Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Deep Research Agent CognitiveKernel-Pro from Tencent AI Lab. Paper: https://arxiv.org/pdf/2508.00414
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
$ npx skills add dzhng/deep-researchAcademic Research Skills for Claude Code: research → write → review → revise → finalize
$ npx skills add Imbad0202/academic-research-skills~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
$ npx skills add LearningCircuit/local-deep-researchRun autonomous deep research over web and local sources
$ npx skills add assafelovic/gpt-researcherResearch the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
$ npx skills add mvanhorn/last30days-skill -gTradingAgents: Multi-Agents LLM Financial Trading Framework
$ npx skills add TauricResearch/TradingAgents📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
$ npx skills add datawhalechina/hello-agentsResearch and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
$ npx skills add microsoft/RD-AgentThe absolute trainer to light up AI agents.
$ npx skills add microsoft/agent-lightningUFO³: Weaving the Digital Agent Galaxy
$ npx skills add microsoft/UFO智能闲鱼客服机器人系统：专为闲鱼平台打造的AI值守解决方案，实现闲鱼平台7×24小时自动化值守，支持多专家协同决策、智能议价和上下文感知对话。
$ npx skills add shaxiu/XianyuAutoAgentLLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
$ npx skills add ZhuLinsen/daily_stock_analysisA modular graph-based Retrieval-Augmented Generation (RAG) system
$ npx skills add microsoft/graphrag🌐 Make websites accessible for AI agents. Automate tasks online with ease.
$ npx skills add browser-use/browser-useBash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
$ npx skills add shareAI-lab/learn-claude-codeSWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
$ npx skills add SWE-agent/SWE-agentHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep CognitiveKernel Pro if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.
Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Deep Research Agent CognitiveKernel-Pro from Tencent AI Lab. Paper: https://arxiv.org/pdf/2508.00414
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
$ npx skills add dzhng/deep-researchAcademic Research Skills for Claude Code: research → write → review → revise → finalize
$ npx skills add Imbad0202/academic-research-skills~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
$ npx skills add LearningCircuit/local-deep-researchRun autonomous deep research over web and local sources
$ npx skills add assafelovic/gpt-researcherResearch the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
$ npx skills add mvanhorn/last30days-skill -gTradingAgents: Multi-Agents LLM Financial Trading Framework
$ npx skills add TauricResearch/TradingAgents📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
$ npx skills add datawhalechina/hello-agentsResearch and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
$ npx skills add microsoft/RD-AgentThe absolute trainer to light up AI agents.
$ npx skills add microsoft/agent-lightningUFO³: Weaving the Digital Agent Galaxy
$ npx skills add microsoft/UFO智能闲鱼客服机器人系统：专为闲鱼平台打造的AI值守解决方案，实现闲鱼平台7×24小时自动化值守，支持多专家协同决策、智能议价和上下文感知对话。
$ npx skills add shaxiu/XianyuAutoAgentLLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
$ npx skills add ZhuLinsen/daily_stock_analysisA modular graph-based Retrieval-Augmented Generation (RAG) system
$ npx skills add microsoft/graphrag🌐 Make websites accessible for AI agents. Automate tasks online with ease.
$ npx skills add browser-use/browser-useBash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
$ npx skills add shareAI-lab/learn-claude-codeSWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
$ npx skills add SWE-agent/SWE-agentHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep CognitiveKernel Pro if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.