Plan and execute email campaigns
afrexai-email-marketingskillsetup L3★1,983
LeoYeAI/openclaw-master-skills ↗Causal-lift measurements
cold-email-strategy-20pp vs no-skill baselinewith-skill 70% · baseline 90%
Measured by running the task with and without this artifact, K=5, graded by deterministic checks — no LLM judging.
What it does
Plan and execute email marketing campaigns with strategy and optimization
Best for
Email marketing strategist or solo founder scaling email revenue — covers full stack from list health → campaign planning → automation → optimization, with explicit health score and domain warm-up schedule.
Inputs
- · Email program audit data (current sending setup, metrics, challenges)
- · Campaign type request (launch sequence, welcome series, audit, segmentation, newsletter, drip, A/B test, re-engagement)
- · List size and sources (optional)
- · Current email metrics (optional)
Outputs
- · Email program health score (0-100)
- · Deliverability setup checklist
- · List growth playbook with opt-in magnet rankings
- · Campaign-specific sequences (emails with subject, body, CTA)
Requires
- · Email service provider (Mailchimp, ConvertKit, SendGrid, etc.)
- · DNS access (SPF, DKIM, DMARC setup)
- · Google Postmaster Tools (optional monitoring)
Preconditions
- · Custom sending domain configured (not shared ESP domain)
- · SPF, DKIM, DMARC authentication set up
- · Email list with opt-in sources documented
Failure modes
- · Assumes sender has technical access to DNS for SPF/DKIM setup
- · List quality assessment relies on user self-reporting (no automatic audit)
- · Doesn't cover advanced segmentation via CDP or advanced automation
- · Deliverability advice is generic — ISP-specific issues require dedicated IP + reputation monitoring
Trust signals
- · Phase 1 email program audit with 10 scoring dimensions
- · Health Score framework (0-100) with explicit scoring criteria
- · Deliverability checklist with domain warm-up schedule (29+ day progression)
- · Opt-in magnet rankings by conversion rate with context
- · Named recommended events (purchase, sign_up, re-engagement) with parameters