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 marketing automation programs — end-to-end workflow architecture, lead scoring models with MQL/SQL thresholds, nurture and drip sequences, behavioral triggers, lifecycle stage frameworks, deliverability and compliance automation, and MAP platform selection or migration
$ npx -y skills add indranilbanerjee/digital-marketing-pro --skill marketing-automation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/marketing-automationContext preview
The summary Claude sees to decide when to auto-load this skill.
Design marketing automation programs — end-to-end workflow architecture, lead scoring models with MQL/SQL thresholds, nurture and drip sequences, behavioral triggers, lifecycle stage frameworks, deliverability and compliance automation, and MAP platform selection or migration
name: marketing-automation description: "Design marketing automation programs — end-to-end workflow architecture, lead scoring models with MQL/SQL thresholds, nurture and drip sequences, behavioral triggers, lifecycle stage frameworks, deliverability and compliance automation, and MAP platform selection or migration plans — delivered as workflow maps, scoring rubrics, sequence plans, and audits. Triggers on \"/digital-marketing-pro:marketing-automation\", \"build a lead scoring model\", \"design a welcome nurture sequence\", \"our contacts get too many automated emails\", \"should we migrate from Mailchimp to HubSpot\". Produces designs and audit findings, not live platform changes. Reads the brand profile and compliance rules; its lead-scoring framework is the one /digital-marketing-pro:lead-import applies when importing leads."
Activate this module when the user's request involves any of the following:
**Trigger phrases**: "automation workflow," "lead scoring," "nurture sequence," "drip campaign," "behavioral trigger," "lifecycle stage," "marketing ops," "HubSpot," "ActiveCampaign," "Klaviyo," "Marketo," "Mailchimp," "Pardot," "marketing automation," "lead nurture," "welcome series," "abandoned cart," "re-engagement," "win-back," "onboarding sequence," "scoring model," "MQL," "SQL," "lead handoff," "automation platform," "MAP," "marketing operations," "data hygiene," "deliverability," "consent management," "preference center"
Before producing any marketing output from this module:
1. **Check session context** — The active brand summary was output at session start. Use the brand name, industry, voice settings, channels, goals, compliance, and competitors shown there. 2. **If you need the full profile**, read: `~/.claude-marketing/brands/{slug}/profile.json` 3. **Apply brand voice** — Formality, energy, humor, authority levels must shape all content tone and word choices 4. **Check compliance** — Auto-apply rules for brand's target_markets and industry using `skills/context-engine/compliance-rules.md` 5. **Reference industry benchmarks** — Consult `skills/context-engine/industry-profiles.md` for the brand's industry 6. **Use platform specs** — Reference `skills/context-engine/platform-specs.md` for character limits and format requirements 7. **Check campaign history** — Run `python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaigns` before planning new work 8. **If no brand exists**, say: "No brand profile found. Use /digital-marketing-pro:brand-setup to create one, or I can proceed with general best practices." 9. **Check brand guidelines** — If `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` exists, load and enforce: `restrictions.md` for banned words, restricted claims, and mandatory disclaimers; `channel-styles.md` for channel-specific tone overrides (may differ from base voice); `messaging.md` for approved key messages, taglines, and positioning language; `voice-and-tone.md` for detailed voice rules beyond the 4 numeric scores. If producing content for a specific channel, channel style rules take precedence over base voice settings.
Do not ask the user for information that already exists in their brand profile.
Before executing automation work, gather:
1. **Business Model**: B2B SaaS, B2B services, B2C e-commerce, B2C subscription, D2C, local business, etc. 2. **Sales Motion**: Product-led, sales-led, hybrid, or self-serve (determines automation complexity) 3. **Current Platform**: Which MAP is in use? CRM? CDP? (or is this a greenfield selection) 4. **Lifecycle Stages**: Are stages defined? What criteria determine each stage transition? 5. **Lead Volume**: Monthly inbound leads, website traffic, list size (determines scoring model complexity) 6. **Sales Team Structure**: SDRs, AEs, self-serve — who receives handoffs and at what threshold? 7. **Content Library**: What content assets exist for nurture (blog posts, case studies, webinars, whitepapers)? 8. **Current Automations**: What workflows already exist? Are they performing? 9. **Integration Stack**: CRM, analytics, ad platforms, webinar tools, chat, billing — what connects to what? 10. **Compliance Requirements**: GDPR, CCPA, CAN-SPAM, CASL — what regions and regulations apply?
For quick requests (e.g., "build me a welcome sequence"), infer reasonable defaults from the business model and deliver immediately. For strategic automation architecture, gather full context.
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
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