郑希观点库——基于易方达基金经理郑希 2012–2026 年全部公开观点原文语料，外加从语料蒸馏、有本人原话佐证的郑希投资方法的可溯源 research skill。能做： (1) 溯源问答——他怎么看 AI算力/光通信/新能源/半导体/ROE 等，引用其原话作答； (2) 讲解他的投资方法/框架/选股逻辑；(3) 前瞻应用——用他的方法分析当下任意主题/行业/个股，语料没谈过也能据框架推演； (4) 风格化点评——用他季报/手记的口吻写市场点评、季度展望； (5) 言行对照——用他全部基金真实数据（季度持仓/净值/业绩/规模/任职回报）核对"说的"与"买的"，或答他的业绩/重仓/规模； (6) 全市场查询对比——内置约 2.7 万只基金列表，按需抓任意基金真实数据做查询或与郑希对比； (7) 郑希框架评分——给一只基金按他的方法打分（多像郑希会买的）。 When the user mentions 郑希/易方达郑希/zhengxi, asks his view on a sector/stock/theme, his 投资方法/框架/选股/风格/持仓/业绩/净值/规模, wants to apply his approach, a commentary 用郑希口吻, to check words vs holdings, or to look up/compare/score ANY China mutual fund (任意基金/某基金经理/同类对比/给基金打分)——use this skill, even if they don't say "skill", even if the topic isn't in his corpus (fall back to his method). 引用忠于原文、不杜撰；推演与原话区分。研究学习辅助，非投资建议。

One-command multilingual blog creation. Writes a blog post, translates it into user-specified languages, applies cultural adaptation, and emits hreflang tags, sitemap entries, and a CMS-ready language map. The complete write-to-publish pipeline for international content. Orchestrates blog-write, blog-translate, blog-localize, and (optionally) seo-hreflang. Use when user says "multilingual blog", "blog multilingual", "write in multiple languages", "international blog", "mehrsprachiger Blog", "blog multilingue", "blog multilingue", "create blog in German and French".

Use for Seedance 2.0 video generation, image-to-video, video-to-video extension, ordered multimodal @video/@image reference prompting, prompt review, continuity enforcement, and engineered 15-second video prompts.

Use for screenplay, scene writing, dialogue formatting, beat outlines, and any request that should produce structured script text compatible with Fountain syntax.

根据用户给出的 Java/Kotlin 工具类或 View 相关源码，设计并实现 androidx.databinding.BindingAdapter。 工作区内优先 Read lib/DevSimple 下 bindingadapters；范例文件表见 references/reference.md。 过滤不适合 XML 的 API；Long? 时间戳、Boolean? 三态、attribute 合并（参照 XYI）；成稿按 code-method-normalize。 在用户要求生成 BindingAdapter、补全 DataBinding 属性、或评审 DevSimple bindingadapters 时使用。

Use TypeUI with Hermes Agent to access project design skills, brand kits, UI prompts, and layout variations through the TypeUI MCP server when creating or refining user interfaces.

Guided journey from a leaking conversion flow - landing page, signup, checkout, or in-app onboarding - to a measured, tested funnel. Orchestrates six skills phase by phase - lean-analytics, cro-methodology, storybrand-messaging, hundred-million-offers, influence-psychology, design-everyday-things - each phase carries its full method inline so it runs standalone, asking the user questions at every decision point and recording results in the project docs/ folder (FUNNEL.md, METRICS.md, EXPERIMENTS.md, CONVERSION-OPTIMIZATION-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a specific flow, fix checkout or signup abandonment, diagnose onboarding drop-off, or says 'people start but never finish'. With no site yet, use create-website; for a whole-site look, message, and speed audit, improve-website; if the flow converts but needs traffic, grow-website; for in-product engagement and retention, improve-app. For one framework in isolation, invoke that skill directly.

Organize business and technology teams for fast flow using Skelton & Pais's "Team Topologies". Use when the user mentions "team topologies", "Conway's law", "platform team", "stream-aligned team", "team boundaries", "cognitive load", "how should we split teams", "who owns this service", "team dependencies", or "reorg". Also trigger when reorganizing engineering teams, aligning team and service boundaries, splitting a monolith and deciding ownership, reducing cross-team handoffs, or designing an internal platform. Covers the four team types, three interaction modes, the inverse Conway maneuver, and fracture planes. For bounded contexts, see domain-driven-design. For dependency direction in code, see clean-architecture.

创建并更新路演 PPT（Pitch Decks）、一页纸简介（One-pagers）、投资备忘录（Investor Memos）、加速器申请（Accelerator Applications）、财务模型（Financial Models）以及融资材料。当用户需要面向投资者的文档、预测、资金用途表（Use-of-funds tables）、里程碑计划，或需要在多个融资资产之间保持内部一致性时，请使用此功能。

Spring Boot 服务的 Spring Security 身份验证/授权、验证、CSRF、密钥、响应头、速率限制和依赖项安全最佳实践。

编写文章、指南、博客帖子、教程、新闻通讯（newsletter）以及其他长篇内容。这些内容具有从提供的示例或品牌指南中提取出的独特语气。当用户需要比段落更长的精美文案，且对语气一致性、结构和可信度有要求时，请使用此技能（Skill）。

开展市场研究、竞争分析、投资者尽职调查和行业情报收集，提供来源引用和决策导向的总结。适用于用户需要市场规模测算、竞争对手比较、基金研究、技术扫描或为业务决策提供信息支持的研究场景。

为 X、LinkedIn、TikTok、YouTube、时事通讯 (Newsletters) 以及多平台复用活动创建平台原生内容系统。当用户需要社交帖子、推文串 (Threads)、脚本、内容日历或将单一源素材清晰地适配到多个平台时使用。

Publishes a plan, spec, or decision set as GitHub issues with native blocking edges, sub-issue umbrellas, and milestones, keeping existing issues reconciled. Use when turning a plan or conversation into tracker tickets, building or extending a release roadmap, adding blocking edges or an umbrella issue, or querying the frontier of workable issues.

Safely optimize rsyslog runtime performance with representative workloads, isolated baseline and candidate builds, profiling, paired noise-resistant measurements, explicit acceptance thresholds, and correctness/security validation. Use for performance investigations or implementations in inputs such as imtcp, parsers, outputs, queues, and other runtime subsystems.

Pre-submission compliance scanner workflow for Apple App Store apps. Use when reviewing iOS, macOS, tvOS, watchOS, or visionOS projects (Swift, Objective-C, React Native, Expo) for App Store rejection risks, submission readiness, privacy compliance, or guideline violations.

Turn a prompt, bug report, issue ID, or ticket URL into a repository-grounded implementation plan for human approval. Use when the user asks to plan a PR, prepare a ticket for implementation, work out how to build a feature, or set up the plan-pr workflow. Reads tracker context and repo rules, routes to a fixed set of design and TDD skills, and defines observable acceptance criteria. After approval the same agent implements, then invokes ship-pr-dev. For shipping an existing branch or fixing PR CI without a planning request, use ship-pr-dev directly.

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.