Draft professional emails for business and marketing contexts — outreach, client communication, proposals, follow-ups, and internal updates. Includes tone calibration, subject line formulas, and follow-up cadence recommendations.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Draft professional emails for business and marketing contexts.
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/email-composer ~/.claude/skills/
Every email follows this structure:
Subject: [Specific, not generic — include key value or action]
[Opening — context in one sentence: why you are writing]
[Body — 2-3 short paragraphs max, bullet points for multiple items]
[CTA — one clear, specific ask]
[Sign-off — matched to relationship level]
| Tone | Characteristics | When to Use |
|---|---|---|
| Formal | Complete sentences, no contractions, titles, "Dear..." | C-suite, legal, first contact with enterprise |
| Professional | Direct but warm, contractions OK, first names | Clients, colleagues, vendors |
| Casual | Conversational, personality OK, still clear | Internal team, close working relationships |
| Urgent | ACTION REQUIRED flag, bold deadlines, consequences | Time-sensitive, blocking issues |
| Formula | Example |
|---|---|
| Action + Topic + Deadline | "Review: Q1 Campaign Brief by Friday" |
| Number + Benefit | "3 Quick Wins from Your GA4 Data" |
| Question | "Can we schedule 15 min to discuss the Shopify migration?" |
| Value + Context | "Your Klaviyo Audit Results (3 Revenue Opportunities)" |
| Urgency + Specificity | "Action needed: Tracking code missing from 4 pages" |
For templates and follow-up cadence, see REFERENCE.md.
If brand-profile.json exists in the working directory, read it before composing emails. Use the formal_casual axis to set salutation and sign-off style, voice descriptors to guide subject line personality, and colors for email template accent recommendations. This profile is produced by the brand-dna skill.
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A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
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Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) specialist. Optimize content and websites to appear in AI-generated answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and other LLM-powered search experiences. Use when the user asks about AI search optimization, AEO, GEO, AI Overviews, appearing in AI answers, LLM citations, or optimizing for generative search.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Develop brand voice, tone matrices, messaging frameworks, and brand book documentation. Use when the user asks about brand voice, tone of voice, brand guidelines, messaging framework, or brand consistency.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Braze customer engagement platform expertise. Audit campaigns, Canvases, segments, messaging channels, and data architecture. Use when the user asks about Braze, customer engagement, push notifications, in-app messaging, cross-channel orchestration, or lifecycle marketing at scale.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.