Traction Viral Engineering
SkillDev toolsPlan viral marketing and engineering-as-marketing traction experiments from Traction. Use when designing referral loops, viral coefficients, engineered acquisition tools, calculators, microsites, widgets, or product-led assets that acquire customers; use make-product-viral instead for landing-page audits, shareability reviews, pricing-page polish, or social-preview optimization.
Use Traction Viral Engineering in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Traction Viral Engineering and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Traction Viral Engineering skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/traction-viral-engineering/SKILL.md and read by Ahel’s review.
Use this skill for growth loops and useful engineered assets: referral systems, viral sharing, free tools, calculators, widgets, microsites, and product-led lead magnets.
For landing-page audits, pricing-page polish, social previews, or broad
shareability reviews, use make-product-viral instead. This skill is for
designing measurable traction experiments around loops and engineered assets.
Source Traceability
Primary source: Traction, chapters 15-16 and the appendix. Authoring notes: converted lines 1997-2286 and 3349-3352.
Strategy Options
- Viral loop: users invite or expose the product to more users as part of normal use.
- Referral loop: customers are prompted and rewarded to bring in similar customers.
- Engineering as marketing: a useful free tool attracts prospects and leads them back to the core product.
Workflow
- Choose loop or tool.
- Define the target user and the moment of motivation.
- Map each step from exposure to signup to share or lead capture.
- Identify the weakest step.
- Design small tests to improve that step.
- Measure coefficient, cycle time, conversion quality, and follow-up value.
Output Format
# Viral/Engineering Growth Plan
## Growth Mechanism
- Type:
- Target user:
- Core motivation:
## Loop Or Tool Map
| Step | User Action | Metric | Weakness |
|------|-------------|--------|----------|
## Tests
| Test | Step Improved | Expected Effect | Tracking |
|------|---------------|-----------------|----------|
## Follow-Up
- Lead capture:
- Product handoff:
- Retention/referral prompt:
## Decision Rules
- Double down:
- Iterate:
- Kill:
Quality Bar
- Do not call ordinary word-of-mouth a viral loop.
- Measure the weakest step before proposing a large build.
- Keep engineered tools useful without requiring a sales pitch.
- Ensure the asset attracts the same people the product wants as customers.
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
traction-viral-engineering- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins
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