iankiku/forwward-teams

gtm

(forwward) Designs viral loops, referral systems, growth mechanics, and launch playbooks for product-led growth. Triggers on go-to-market strategy, viral mechanics, launch planning, growth metrics, K-factor, or referral programs.

First seen Mar 20, 2026

Installation

$ npx skills add iankiku/forwward-teams --skill gtm

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 18
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,481 B
  • docs SUMMARY.md 240 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 43 installs

SKILL.md

GTM — Growth & Go-to-Market

Build products that spread themselves through authentic resonance, not gimmicks.

Core Framework: VIBE

  • Velocity — Speed of viral cycle (signup → share → new signup)
  • Identity — Emotional resonance and brand authenticity
  • Boundaryless — Cross-platform, cross-community spread
  • Emotions — Sharing driven by feeling, not incentives

Growth Strategy Selection

Product has network effects?
├─ Yes → Design embedded viral loop
│    ├─ Multi-party workflow? → Embedded loop (Calendly model)
│    ├─ Creates shareable output? → UGC loop (Canva model)
│    └─ Has visible usage? → Casual contact loop (Slack model)
└─ No → Evaluate referral program
     ├─ High LTV? → Two-sided incentive
     ├─ Community-driven? → Status/recognition rewards
     └─ Transactional? → Reconsider if viral is right channel

Viral Loop Metrics

K factor = users sharing × invites per share × conversion rate

Loop Type Typical K Example
Embedded 0.5–2.0 Calendly, DocuSign
UGC 0.3–1.0 Canva, Loom
Community 0.2–0.5 Discord, Notion

K > 1.0 = viral growth. K > 0.3 = meaningful organic boost.

Quick Audit (Run on Any Product)

  1. Map sharing behavior — Where do users already share? What do they screenshot?
  2. Calculate K factor — Track: shares, invites, conversions
  3. Identify friction — Where do users drop off the share flow?
  4. Design intervention — Remove one friction point, measure impact

Launch Playbook

Pre-Launch

  • Build waitlist with specific value prop (not "coming soon")
  • Seed 10-20 power users for feedback and launch-day amplification
  • Prepare launch assets: demo video, thread, landing page

Launch Day

  • Activate power users first (social proof before broad reach)
  • Post on primary channel, cross-post hooks to secondary
  • Respond to every comment for first 24 hours

Post-Launch

  • Track: signups, activation rate, K factor, retention at day 7
  • Double down on what's working, kill what's not
  • Ship one user-requested feature within first week (builds trust)