This skill helps users extract YouTube video transcripts and perform deep competitive analysis on the content. Agent should proactively apply this skill when users express needs like analyze YouTube video content strategy, perform competitive video content analysis, extract and analyze YouTube subtitles for marketing insights, understand competitor value propositions from their videos, identify target audience from YouTube video content, analyze pain points and needs mentioned in YouTube videos, evaluate competitor CTA strategies in video content, find content gaps in competitor YouTube videos, analyze video narrative structure and hooks, extract key messaging and positioning from YouTube content, benchmark competitor video content quality, research competitor marketing angles through video analysis, identify audience signals and terminology level in videos, analyze emotional tone and persuasion techniques in YouTube content.

Scrape Product Hunt daily/weekly/monthly/yearly leaderboard launches with full product details, maker profiles, and website contact info. Use when user mentions Product Hunt, producthunt, PH scraper, product hunt launches, product hunt leaderboard, scrape product hunt, product hunt data, PH daily launches, product hunt upvotes, product hunt maker info, extract product hunt, product hunt today, top products product hunt, product hunt archive, PH products, product hunt email extraction, product hunt contact info, producthunt.com scraping, get product hunt launches, product hunt API alternative. Also applies to: startup launch monitoring, new product discovery, maker/founder contact enrichment, product hunt lead generation, daily product hunt digest, competitive product tracking.

Extracts business contact details from Google Maps search results and place detail pages, then visits each business website to collect emails, phone numbers, and social media profiles (Facebook, Instagram, Twitter/X, LinkedIn, YouTube, TikTok, Pinterest, Discord). Use when user mentions Google Maps contact extraction, maps email scraper, business lead generation from Google Maps, find emails from maps, scrape Google Maps businesses, maps business contacts, get phone from Google Maps, social media from maps listing, competitor research from maps, local business contact list, maps data export, google maps scraper, extract contacts from google maps, find business email google, gmaps leads, maps email finder, or wants to replicate Google Maps business data extraction.

Plan analytics instrumentation for a feature. Use when implementing any feature — every feature must ship with telemetry. Decides which events and properties the metrics need (funnels, adoption, status flows), checks compatibility with the existing datalake and event registry, and walks through local, staging, and production verification.

Answers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.

Diagnose and align Kode LSP behavior with the reference CLI (plugin-based .lsp.json, stdio-only, no install menus). Use when LSP results are missing, LSP is disabled, or you need to configure plugin LSP servers without telling the user to run menu-style install commands.

Create Hana plugin scaffolds and guide users through beginner or developer plugin planning, capability checks, manifest setup, runtime tools, WebView/iframe UI, Session/Agent APIs, model/media APIs, SDK templates, and install-ready plugin directories. Use when HanaAgent/Codex needs to explain what Hana plugins can do, help a user describe a plugin idea, check whether the SDK supports it, or generate/update a Hana plugin with @hana/plugin-runtime, @hana/plugin-sdk, and @hana/plugin-components.

给单篇稿子打 rubric 分。**只在控制台输出，不写文件，不预测**。触发词："打分这篇 [path]"/"score this [path]"/"给这稿子打分"/"先打分看看"。是 cheat-predict 之前的轻量探索动作。

把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链，按顺序应用每一步迁移文件。幂等：跑两次结果一样。失败停在中间版本不前进。触发词："迁移"/"升级 state"/"migrate"/"我的 state 是老版本"/"schema 版本不对"。

Analyze company annual reports, quarterly reports, 10-K/10-Q filings, earnings releases, shareholder letters, or financial-report PDFs/URLs/files and produce a professional Chinese Markdown report for ordinary investors. Use when the user provides a company financial report address or local file and asks for 财报分析, 年报解读, 季报解读, 10-K/10-Q analysis, earnings analysis, investment reference, accounting red-flag detection, valuation discussion, or beginner-friendly explanation saved to the current project's markdown directory.

以资深投行分析师的视角，输入一个行业或产业名称，系统梳理该行业产业链各节点，列出各节点代表性上市公司，深度分析商业模式、上下游关系、核心竞争力、护城河、风险揭露、竞争格局等，用通俗易懂的语言面向普通投资人输出图文并茂的Markdown报告，保存到当前项目 markdown/ 目录。触发条件：用户提到"产业链分析"、"帮我分析XX行业"、"XX行业上下游"、"XX行业有哪些上市公司"、"XX行业怎么投"、"XX行业竞争格局"、"XX行业护城河"、"XX行业风险"、"梳理XX产业链"、"XX上下游企业"等。即使用户只说"帮我看看XX行业"或"XX行业值得投吗"，也应使用本skill。输出为Markdown文件，保存到markdown/目录，图文并茂，语言专业但通俗，适合普通投资人阅读。

A股个股次日(T+1)走势预测 skill。当用户输入A股股票代码(如 600519、000858、300750、688981、430090)或公司名称(如"贵州茅台"、"宁德时代"、"比亚迪"),并要求预测次日走势、给出交易计划、评估盈亏概率时,触发本 skill。skill 会用 mcp__MiniMax__web_search 搜证大盘环境、龙虎榜、北向资金、融资融券、主力资金流、板块联动、公告与消息面等,按"四维分析框架"(大盘环境 30% / 资金行为 30% / 技术面 25% / 消息面 15%)交叉验证,产出可量化的方向预测(看多/看空/震荡 + 概率百分比 + 价格区间),并写入当前项目 markdown 目录下的 `a-stock-{代码}-{YYYY-MM-DD}.md`。输出包含详细逻辑推导链、中间结果与最终结果概率、专业术语小白解释、mermaid/ascii/svg 图表。适用场景:盘后复盘想做次日的方向判断与交易计划;不适用:长线基本面估值(改用 finance-core-analysis)、日内高频交易、港股/美股(改用 us-stock-prediction)。

Answer PostgreSQL core database questions by researching the local postgres source tree, PostgreSQL documentation under doc/src/sgml, relevant source code, and DeepWiki repository knowledge for postgres/postgres; use when the user asks any PostgreSQL database behavior, internals, SQL, configuration, administration, performance, storage, planner, executor, replication, or documentation question and wants a sourced Markdown answer saved to the current project's markdown directory. Refuse questions about non-PostgreSQL-core projects, including PostgreSQL ecosystem plugins, extensions maintained outside postgres/postgres, external tools, drivers, cloud services, forks, or third-party products.

Analyze PostgreSQL git commit history between two commit ids and, when valuable DBA/application-developer changes exist, write a Chinese Markdown article for WeChat/公众号 readers with examples checked against SQL tests, docs, or relevant source. Use when the user is inside a PostgreSQL source checkout and provides two commit ids, asks to interpret Postgres commits, summarize a release/development window, identify DBA/application-developer value from commit logs, group related commits, exclude reverted commits, and either output a sourced article under the current project's markdown directory or return a no-article analysis when no valuable commits are present.

为企业生成深度未来规划与建议书。输入企业名称、简介、网站等基本信息，自动搜索企业相关情报、行业数据、竞争格局，构建完整企业画像，再结合当下环境与未来趋势，输出图文并茂、有数据支撑的战略规划报告（Markdown 格式），保存到当前项目的 markdown/ 目录。触发条件：用户提供企业信息并希望获得规划建议、提到"企业规划"、"帮这家公司规划"、"战略建议书"、"商业计划"、"给XX公司写规划"、"公司未来怎么走"、"帮我分析一下这家企业"。即使用户只说"帮我给这家公司写个规划"但附带了企业信息，也应使用本 skill。

生成面向学生的公理/定理深度讲解文案，输出图文并茂的 Markdown 文章。触发条件：用户输入一个观点、公理、定理或数学/科学/哲学命题，并希望获得系统性讲解文章。关键词包括："讲解"、"解释"、"公理"、"定理"、"原理"、"推导"、"怎么来的"、"有什么用"、"证明"等。即使用户只说"帮我讲讲XX定理"或"解释一下XX原理"，也应使用本 skill。输出保存到项目 markdown/ 目录，文章结构涵盖求真讲法、求存讲法、思考三大核心板块，并包含 SVG/Mermaid/ASCII 图表辅助理解。

编写产品评测报告的 skill。流程：询问被评测产品名、资料/链接、评测功能点、目标使用场景、竞品 → 网络核实最新状态 → 站在决策者（买不买）和使用者（好不好用）双视角 → 输出图文并茂的 markdown 评测报告到当前项目的 markdown/ 目录。报告包含：TL;DR、双视角结论、维度评分、竞品对比、选型决策树、实操指南、依据与参考。适用于"评测 XX 产品"、"对比 X 和 Y"、"XX 工具选型"等需求。

ET test authoring workflow for WOW. Use when writing or modifying ATestHandler tests, choosing test package placement, naming test classes, creating test-only model types, preparing deterministic coroutine-style assertions, handling ObjectWait, constructing test config data, and enforcing EntityRef safety in tests.

ET test-driven development workflow for WOW. Use when implementing features or bug fixes through a complete loop of requirements, test plan, ATestHandler test writing, implementation, dotnet build ET.sln, targeted test execution, regression checks, and AGENTS.md rule updates.

ET Excel MCP workflow for reading, writing, styling, transforming, and inspecting xlsx data. Use when operating Excel cells, ranges, sheets, formulas, charts, merges, batch data import/export, or editing Luban source spreadsheets before export.