Generate personalized cold email sequences
cold-outreachskillsetup L1★6
SanketSapkal/founder-skills ↗What it does
Generate personalized cold email sequences from archetype data
Best for
Founder-stage outbound sales where research-backed specificity and personalization are the only way to break through inbox noise.
Inputs
- · customer-archetype-output.md (title, pain, promotion criteria, workaround cost)
- · startup-canvas-output.md (UVP, pricing)
- · oneliner-output.md (optional)
- · battle-cards-output.md (competitive alternatives)
Outputs
- · 3-email sequence (Day 1 pain email, Day 3-4 evidence email, Day 7-8 breakup email)
- · 3 subject line variants (pain-focused, metric-focused, curiosity-focused)
- · Targeting criteria with LinkedIn filters and pool size estimate
- · cold-outreach-output.md file with full deliverable
Preconditions
- · customer-archetype-output.md must exist (user told to run /customer-archetype first if missing)
- · Founder has defined UVP and positioning
- · Target customer segment is clearly scoped
Failure modes
- · Lacks specificity if archetype data is incomplete — generic templates result
- · Product mentioned before pain (violates Predictable Revenue framework)
- · Over-personalization that requires unrealistic research effort per recipient
- · CTAs that ask for demo or sale instead of conversation
Trust signals
- · Framework citations: Predictable Revenue (Ross & Tyler) cold outbound methodology, $100M Leads (Hormozi) on specificity driving conversion
- · Specific email lengths: under 100 words for Email 1, under 80 for Email 2, under 60 for Email 3
- · Structured personalization layers: company research, role research, timing triggers
- · CTA clarity: ask for 15 minutes conversation, not demo or purchase