发现最适合你需求的 AI 技能
Use when interpreting scientific graphs and charts, explaining data visualizations for research presentations, writing figure captions for publications, or analyzing trends in clinical research data. Converts complex visual data into clear, accurate explanations for academic papers, clinical reports, and public presentations.
Target audience profiler for social media strategy. Build detailed audience personas with psychographics, pain points, content preferences, and platform behavior — so every post speaks directly to the right people. Triggers: target audience, audience profile, audience persona, ideal customer, ICP social media, audience analysis, who to target
注册“掌阅”技能；用于阅读产品公开页面、书库入口、会员说明与帮助信息整理。
Amazon competitor intelligence agent. Tracks competitor ASINs over time — price changes, BSR movements, review count velocity, listing changes, new images/variations. Outputs trend tables and competitive alerts. Triggers: competitor spy, amazon competitor, track competitor, asin tracker, competitor analysis, bsr tracking, price tracking, amazon spy, competitor monitoring, listing changes, review velocity, competitive intelligence
Comprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing service architecture, setting up dependency injection, refactoring tightly coupled code, managing singletons or service factories, or when the user asks about inversion of control, service containers, or
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
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Discover, curate, and register for crypto conference side events via Luma and Google Sheets
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超短线炒股策略与知识问答。适用于超短线选股策略讲解、龙头股识别、打板技巧、技术指标分析、情绪周期判断、仓位管理、止盈止损策略等。当用户询问超短线股票交易、短线选股、龙头战法、打板技巧、技术指标、新手入门等问题时触发。
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Use when exploring Blast L2 chain features, understanding native yield mechanics, comparing gas costs, bridging assets, or discovering Blast ecosystem projects and DApps.
