发现最适合你需求的 AI 技能
Learn Ansible on LabEx with infrastructure-as-code courses and playbook or inventory labs. Ansible courses and lab lists via LabEx MCP; public labex.io pages for hands-on automation learning.
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Apply the most relevant mental models (First Principles, Inversion, Second-Order Thinking, Occam's Razor, and 16 others) to any problem or decision, surfaces non-obvious insights by explicitly matching and working through 2-3 models per query.
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小红书内容搜索工具。通过 browser 工具操控已登录的 Chrome，搜索小红书公开笔记，提取标题、正文、话题标签、点赞数，分析消费趋势。用于市场调研中的消费者趋势研究。
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每日科技/AI/大模型热榜推送。当用户说"今日科技"、"每日AI"、"科技日报"、"大模型动态"、"AI资讯"、"开启科技推送"时触发。主打AI、大模型、OpenClaw、机器人、GitHubTrending等硬科技，附国际市场动态，来源覆盖中英文。
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Human-machine interface design tool
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A 4-step thinking framework to boost LLM output quality. Enforces structured reasoning (Plan → Draft → Self-Critique → Refine) to improve low-end LLM responses. No LLM endpoint needed - LLM follows the framework itself. Triggered by "detailed analysis", "in-depth analysis", "use booster", or /booster command.
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
