发现 Skills

Use when a user describes ANY research intent, goal, or topic — this is Phase 0 and must complete before any other research skill activates

Dan Koe methodology — solopreneurship, writing leverage, focus philosophy, personal growth, digital leverage, and cognitive psychology. Distilled from 3,378 original tweets.

Guidelines for creating API routes in Expo Router with EAS Hosting

Build and distribute Expo development clients locally or via TestFlight

Use this bundled skill when Codex needs example guidance from the __SKILLFORGE_TITLE__ plugin.

Analyze systemd journal logs to detect errors, track service health, and generate incident reports.

Install, configure, and manage Samba/SMB file shares on Linux for local network file sharing.

Universal deployment patterns for any project type.

Display current FIRE project status and validate integrity of intents, work items, and runs.

Powerful web search, content crawling, news, sitemap, and trending topics via the search1api CLI (s1). This is far more capable than basic fetch or search tools — it supports 13+ search engines (Google, Bing, DuckDuckGo, Reddit, GitHub, YouTube, arXiv, Baidu, X, etc.), adapts to many websites for clean content extraction, and provides news aggregation across multiple sources. Use this skill whenever the user wants to search the web, look something up, research a topic, read or summarize a URL, check news, explore a site's links, see trending topics, or check API balance. Trigger on phrases like "search for", "look up", "find out about", "what's happening with", "any news on", "what does this link say", "read this page", "summarize this URL", "trending on GitHub", or when the user shares a bare URL. Even if the user doesn't say "search" explicitly, use this skill when they clearly need web information.

Use this when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter. Prefer visual checks by rendering pages (using Poppler) and use Python tools such as reportlab, pdfplumber, and pypdf for generation and extraction.

Build UIs using IBM's Carbon Design System. Use when the user requests Carbon-styled interfaces, IBM-style dashboards, enterprise UIs following Carbon conventions, or explicitly mentions Carbon, IBM design, or @carbon/react. Covers component usage, design tokens (color, typography, spacing, motion), theming (White, Gray 10, Gray 90, Gray 100), grid layout, and accessibility. Supports both artifact/HTML output (CDN-based) and full React project output (@carbon/react). Triggers include Carbon, IBM design system, enterprise dashboard, @carbon/react, carbon components, or requests for IBM-style professional interfaces.

量化投资策略组合选择指南，根据市场环境（牛/熊/震荡）选择合适的选股和择时策略组合。适用于需要构建或调整量化投资组合、不知道如何搭配使用多种策略的投资者。

Acts as a Software Architect. Use when the user asks to plan an implementation, break down a specification, or generate a step-by-step roadmap checklist.

【功能】航班/船舶实时轨迹追踪，支持标识符查询和区域范围搜索 【数据源】ADS-B Exchange、FlightRadar24、FlightAware(航班)、ChinaPorts/MarineTraffic(船舶) 【输出数据】航班:ICAO码/呼号/机型/高度/速度/航向/历史轨迹；船舶:MMSI/船名/船型/目的港/ETA/位置 【耗时】~15-90秒 【适用场景】用户问"某航班位置"、"台北周边飞机"、"某船舶追踪"、"台海空域监控"时使用

【功能】分析股票资金流入流出情况，判断主力动向 【数据源】AKShare资金流向数据 【输出数据】主力净流入(万元)、散户净流入(万元)、大单统计、连续流入天数、资金趋势判断 【耗时】~5-15秒 【适用场景】用户问"主力资金"、"资金流入流出"、"大单买卖"时使用

【功能】沪深港通资金流向和个股持股数据 【数据源】AKShare沪深港通数据 【输出数据】北向资金流入/流出、个股持股量/持股市值、持股比例变化 【耗时】~5-15秒 【适用场景】用户问"北向资金"、"沪股通/深股通"、"外资流入"时使用

【功能】生成PDF文档或预览现有PDF文件 【数据源】用户提供的数据(生成模式)、本地/远程PDF文件(预览模式) 【输出数据】文件下载链接(download_url)、文本预览内容、页数信息 【耗时】~5-20秒 【适用场景】用户说"生成PDF报告"、"预览PDF"、"下载PDF"时使用

UI/UX design intelligence. Invoke when user asks for UI design, improvement, review, or frontend implementation. Provides styles, palettes, fonts, and UX guidelines.

Helps developers write Services according to project guidelines using tRPC + Service + DAO architecture best practices. Provides guidance on Service structure, dependency injection, error handling, code examples, templates, boilerplate generation, and best-practice validation. Intended for use when creating or refactoring Service files in a codebase.

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

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