Traction Viral Engineering

SkillDev tools

Plan 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.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Traction Viral EngineeringStart free

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

  1. Choose loop or tool.
  2. Define the target user and the moment of motivation.
  3. Map each step from exposure to signup to share or lead capture.
  4. Identify the weakest step.
  5. Design small tests to improve that step.
  6. 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
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Forks
316
Last commit
Oct 2026
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Item type
skill
Key
traction-viral-engineering
Source
github.com/hashgraph-online/awesome-codex-plugins