Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A self-hosted AI assistant for academic research — manages your papers, searches literature, tracks deadlines, and answers you on the channels you already use.
~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-researchAcademic Research Skills for Claude Code: research → write → review → revise → finalize
$ npx skills add Imbad0202/academic-research-skillsRun autonomous deep research over web and local sources
$ npx skills add assafelovic/gpt-researcherAn 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-researchResearch 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 -gLLM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_analysis🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
$ npx skills add cft0808/edictDesktop Companion for Hermes Agent
$ npx skills add fathah/hermes-desktopBash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
$ npx skills add shareAI-lab/learn-claude-codeResearch 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-AgentBrowser Harness | Self-healing harness that enables LLMs to complete any task.
$ npx skills add browser-use/browser-harnessBindu: The identity, communication, and payments layer for AI agents.
$ npx skills add GetBindu/Bindu50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
$ npx skills add NirDiamant/GenAI_Agents🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
$ npx skills add huggingface/transformersAn open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
$ npx skills add bytedance/deer-flowThe agent that grows with you
$ npx skills add NousResearch/hermes-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 Research Claw 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.