OpenAgentSkill guide
Best research agents skills for AI agents
Browse skills for market research, web research, summarization, source comparison, report writing, and evidence-backed analysis.
When to use this guide
Start from the job, then shortlist the tools.
Research a market
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Compare multiple sources
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Summarize long content
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Draft evidence-backed reports
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Shortlist
Top skills to evaluate
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
LLM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.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Run autonomous deep research over web and local sources
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
An 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.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
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