Synthesize qualitative and quantitative user research into structured insights and opportunity areas. Use when analyzing interview notes, survey responses, support tickets, or behavioral data to identify themes, build personas, or prioritize opportunities.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
Production-tested setup for Tailwind CSS v4 with shadcn/ui, Vite, and React. Use when: initializing React projects with Tailwind v4, setting up shadcn/ui, implementing dark mode, debugging CSS variable issues, fixing theme switching, migrating from Tailwind v3, or encountering color/theming problems. Covers: @theme inline pattern, CSS variable architecture, dark mode with ThemeProvider, component composition, vite.config setup, common v4 gotchas, and production-tested patterns. Keywords: Tailwind v4, shadcn/ui, @tailwindcss/vite, @theme inline, dark mode, CSS variables, hsl() wrapper, components.json, React theming, theme switching, colors not working, variables broken, theme not applying, @plugin directive, typography plugin, forms plugin, prose class, @tailwindcss/typography, @tailwindcss/forms
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
Expert product strategy covering market analysis, competitive positioning, go-to-market planning, and product-led growth.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
Quickly assemble a temporary AI agent team for a task. Automatically select the most suitable members from .claude/agents/.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
Expert in community-led growth (CLG) - leveraging user communities to drive acquisition, retention, and expansion. Covers building developer communities, user groups, ambassador programs, and turning customers into advocates. Knows the difference between community as a feature vs community as a growth engine, and how to measure community ROI. Use when "community-led, CLG, ambassador program, champion program, user community, developer community, word of mouth, user group, " mentioned.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
Engage Reddit, Indie Hackers, Hacker News and other communities for Product Hunt launches. Use this skill to identify relevant communities, craft appropriate posts, and drive cross-platform engagement without appearing spammy.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
Create detailed user personas based on research and data. Develop realistic representations of target users to guide product decisions and ensure user-centered design.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新
Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.
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。
MaxMiksa/Auto-Company☆ 3,1282026年10月4日 更新