ab-test-plan
Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant…
Design a complete, ESP-ready email sequence — per-email subject line options, preview text, body copy with CTAs, send timing, segmentation and branching logic, plus a bulk-sender deliverability checklist (SPF/DKIM/DMARC, one-click unsubscribe, complaint-rate limits). Designs
$ npx -y skills add indranilbanerjee/digital-marketing-pro --skill email-sequence --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/email-sequenceContext preview
The summary Claude sees to decide when to auto-load this skill.
Design a complete, ESP-ready email sequence — per-email subject line options, preview text, body copy with CTAs, send timing, segmentation and branching logic, plus a bulk-sender deliverability checklist (SPF/DKIM/DMARC, one-click unsubscribe, complaint-rate limits). Designs
name: email-sequence description: "Design a complete, ESP-ready email sequence — per-email subject line options, preview text, body copy with CTAs, send timing, segmentation and branching logic, plus a bulk-sender deliverability checklist (SPF/DKIM/DMARC, one-click unsubscribe, complaint-rate limits). Designs only; it sends nothing. Triggers on \"/digital-marketing-pro:email-sequence\", \"build a welcome sequence\", \"write a cart abandonment flow\", \"our emails keep landing in spam\", \"nurture sequence for trial users\". Reads the brand profile, voice, templates, and compliance rules; actual sending belongs to /digital-marketing-pro:send-email-campaign." argument-hint: "[sequence-type]"
Design a full email sequence ready for implementation in any ESP. Includes subject lines, preview text, body copy, send timing, segmentation rules, and deliverability best practices.
The user must provide (or will be prompted for):
1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply brand voice, compliance rules for target markets (`skills/context-engine/compliance-rules.md`), and industry context. **Also check for guidelines** at `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` — if present, load restrictions and relevant category files. Check for custom templates at `~/.claude-marketing/brands/{slug}/templates/`. Check for agency SOPs at `~/.claude-marketing/sops/`. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults. 2. Map the sequence to the customer journey stage and define the narrative arc 3. Determine optimal email count and send cadence based on sequence type 4. Write each email: subject line (2-3 options), preview text, body copy with clear CTA 5. Define segmentation and branching logic (open/click triggers, conditional paths) 6. Apply deliverability checks: spam trigger words, link density, image-to-text ratio, authentication reminders, and the **bulk-sender checklist** below 7. Add personalization tokens and dynamic content recommendations 8. Review full sequence for brand voice consistency and regulatory compliance (CAN-SPAM, GDPR)
Any brand sending at bulk volume (~5,000+ messages/day to a mailbox provider) must meet the mailbox-provider sender requirements or mail is throttled or rejected. Bake these into the sequence's implementation notes (ported from `/digital-marketing-pro:send-email-campaign`, with Outlook 2025 added):
A complete email sequence containing:
Your agency just signed a 50-brand client. The previous agency left no playbook. Three brands are bleeding budget, two have stale positioning, one is launching in a regulated jurisdiction next month. Where do you start?
Repo: indranilbanerjee/digital-marketing-pro
Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant…
Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each…
Walk through adding a custom MCP server integration to the plugin — searches npm for an existing MCP package (or scaffolds a custom server from the plugin's…
Audit how a brand appears across the 6 canonical AI answer surfaces — ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, Copilot — probing 10-25…
Strategy module for Answer Engine / Generative Engine Optimization — audits AI visibility, restructures content for citation, runs entity-consistency checks…
Generate a portfolio-level dashboard across ALL client brands — per-client RAG health scores, campaign activity, budget pacing, aggregate KPIs, team…