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概要と使いどころ
Head-to-Head Stock Comparison — compares two stocks across valuation, growth, profitability, financial health, technical setup, sentiment, and risk with category winners and a weighted overall score. Triggered by "trade compare <TICKER1> <TICKER2>".
日本語の概要は準備中です。原文の説明を表示しています。
AI Trading Analyst for Hermes — full stock analysis with 5 parallel subagents, investment thesis, technical/fundamental/sentiment/risk analysis, options strategies, portfolio review, stock screener, and PDF reports. Say "trade analyze AAPL", "trade quick NVDA", "trade screen growth", etc.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to audit, review, or diagnose SEO issues, plan site architecture, or implement schema markup. Use when someone says 'SEO audit', 'technical SEO', 'site architecture', 'schema markup', 'internal linking', 'why isn't my site ranking', 'site health check', 'crawl issues', 'fix my SEO', 'my traffic dropped', 'rankings fell', or 'site not ranking'. Also trigger when someone wants to plan URL structure, design navigation, add structured data, or review any website for search performance. Three modes: Full Audit (comprehensive health check), Architecture (URL structure and internal linking), Schema (JSON-LD structured data). Covers crawlability, indexation, Core Web Vitals, and on-page factors.
日本語の概要は準備中です。原文の説明を表示しています。
Ongoing link-building campaigns that raise domain authority and expand a site's KD ceiling beyond what on-page work alone can earn. Use when the user mentions 'off-page SEO', 'link building', 'directory link building', 'backlink campaign', 'listicle placements', 'guest posts', 'outreach targets', 'get listed in listicles', or asks 'how do I get more domain authority'. Generates a prioritized, researched target list across directories, listicles, and guest-post candidates — does NOT submit anything on the user's behalf. Pairs with `mktg-backlink-prospector` agent for parallel research. For a launch-day push (submit to directories, Product Hunt, BetaList), see /startup-launcher. For measured backlink data — referring domains, backlink counts, rank tracking — see /openseo. Distinct from `seo-machine` (on-page programmatic) and `seo-audit` (technical diagnostic). The off-page half of the SEO operation.
日本語の概要は準備中です。原文の説明を表示しています。
Interview Question Generator — produces 40-60 questions across behavioral (STAR), technical, culture, situational categories with scoring rubrics and recommended loop structure
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill whenever the user wants to create, improve, rewrite, review, tailor, or ATS-optimize a PRODUCT MANAGER resume or CV. Triggers include any mention of 'PM resume', 'product manager resume', 'product resume', 'PM CV', 'product management CV', plain-language asks like 'create my resume', 'build my CV', 'optimize my resume', 'review my resume', 'make it ATS-friendly', 'tailor my resume to this job description', 'help me get hired', the Spanish terms 'hoja de vida' or 'curriculum vitae', or a request to turn product/PM experience into a resume, quantify product impact, write PM bullet points, or prepare a resume for an APM, PM, Senior, Lead, Group, Director of Product, Head of Product, or CPO application. Also use for AI Product Manager, Growth PM, Platform/Technical PM, and Product Owner resumes. Do NOT use for engineering-only resumes, LinkedIn rewrites, portfolios, or cover letters unless the resume is the main deliverable.
日本語の概要は準備中です。原文の説明を表示しています。
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
日本語の概要は準備中です。原文の説明を表示しています。
HTML PPT Studio — author professional static HTML presentations in many styles, layouts, and animations, all driven by templates. Use when the user asks for a presentation, PPT, slides, keynote, deck, slideshow, "幻灯片", "演讲稿", "做一份 PPT", "做一份 slides", a reveal-style HTML deck, a 小红书 图文, or any kind of multi-slide pitch/report/sharing document that should look tasteful and be usable with keyboard navigation. Triggers include keywords like "presentation", "ppt", "slides", "deck", "keynote", "reveal", "slideshow", "幻灯片", "演讲稿", "分享稿", "小红书图文", "talk slides", "pitch deck", "tech sharing", "technical presentation".
日本語の概要は準備中です。原文の説明を表示しています。
技术面分析师。分析价格走势、技术指标和量能信号，识别趋势与动量，输出 [技术面分析信号]。 在 Phase 1 分析阶段由 hedge-fund-lead 主理人并行调用。 擅长：趋势分析（EMA）、动量指标（RSI）、均值回归策略、波动率分析、支撑阻力位识别、K 线形态识别、成交量分析。
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks to create, edit, rebuild, or refine editable diagrams in `.drawio` / diagrams.net format, especially for academic figures such as system architecture diagrams, technical roadmaps, workflow diagrams, method pipelines, module relationship diagrams, and experiment flowcharts. Use this skill when the user wants publication-ready outputs with both an editable source file and a PNG export, or when an existing figure image needs to be rebuilt into a clean editable academic-style diagram.
日本語の概要は準備中です。原文の説明を表示しています。
Create diagrams and visualizations using Mermaid.js v11 syntax. Use when generating flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, user journeys, timelines, architecture diagrams, or any of 24+ diagram types. Supports JavaScript API integration, CLI rendering to SVG/PNG/PDF, theming, configuration, and accessibility features. Essential for documentation, technical diagrams, project planning, system architecture, and visual communication.
日本語の概要は準備中です。原文の説明を表示しています。
Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman.
日本語の概要は準備中です。原文の説明を表示しています。
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
日本語の概要は準備中です。原文の説明を表示しています。
Generate a detailed Buy/Sell/Hold equity research report for Indian stock market (NSE/BSE listed companies). Use this skill whenever the user asks for a stock analysis, equity research, investment recommendation, target price, fundamental analysis, technical analysis, or buy/sell/hold opinion on any Indian company or stock. Triggers on phrases like "analyse [stock]", "should I buy [stock]", "research report for [company]", "target price for [stock]", "is [stock] a good buy", "NSE/BSE stock analysis", etc. Always use this skill for any Indian equity research request — even if the user just names a stock ticker or company and asks "what do you think?"
日本語の概要は準備中です。原文の説明を表示しています。
Audits web applications to ensure declared privacy policies match actual technical data collection practices. Use to identify discrepancies in cookie usage, tracking scripts, and user data handling.
日本語の概要は準備中です。原文の説明を表示しています。
Creates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs for Series A+ startups scaling internationally. Use when planning marketing strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or startup marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships for hybrid PLG/Sales-Led motions in EU/US/Canada markets.
日本語の概要は準備中です。原文の説明を表示しています。
Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical analysts. Use when producing finished intelligence products from raw collection data, creating sector threat briefings, or delivering post-incident intelligence assessments. Activates for requests involving CTI report writing, threat briefings, intelligence products, finished intelligence, or executive security reporting.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a website needs a broad audit covering UX, conversion, content, SEO, technical correctness, and information hierarchy before changes are planned.
日本語の概要は準備中です。原文の説明を表示しています。
Technical guide for creating a new Galyarder Framework agent adapter. Use when building a new adapter package, adding support for a new AI coding tool (e.g. a new CLI agent, API-based agent, or custom process), or when modifying the adapter system. Covers the required interfaces, module structure, registration points, and conventions derived from the existing claude-local and codex-local adapters.
日本語の概要は準備中です。原文の説明を表示しています。
Use when important product, technical, or founder decisions need to be captured as durable context with rationale, tradeoffs, and follow-up implications.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user wants a related-work survey, technical lineage, task timeline, or paper-map around a baseline paper, research task, benchmark, or project direction.
日本語の概要は準備中です。原文の説明を表示しています。
Prepare to deliver difficult technical news to a client — a conversational prep session before the hard conversation happens
日本語の概要は準備中です。原文の説明を表示しています。
"Apply the Efficient Market Hypothesis (Fama, 1970) to evaluate information incorporation in asset prices across weak, semi-strong, and strong forms. Use this skill when the user needs to assess market efficiency, determine if a trading strategy can generate abnormal returns, evaluate event studies, or when they ask 'can technical analysis work', 'does the market already know this', or 'is this anomaly exploitable'.".
日本語の概要は準備中です。原文の説明を表示しています。