SkillAgentSearch skills...

growth-loops

Identify growth loops (flywheels) for sustainable traction. Evaluates 5 loop types: Viral, Usage, Collaboration, User-Generated, and Referral

Install / Use

npx skills add phuryn/pm-skills --skill growth-loops

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Supported Platforms

Universal

Our assessment of growth-loops

growth-loops scores 87/100 on our quality scale, 581st of 1,937 Development & Engineering skills we index (top 30%).

Its SKILL.md is 5.6 KB long, well organised into 20 sections and no code examples: a solid amount of guidance for an agent.

With 26,568 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 11 days ago, so growth-loops is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

growth-loops compared with similar skills

All 4 of these similar skills score higher than growth-loops; compare them before choosing.

SkillScoreStarsUpdatedFormat
growth-loops (this skill)by phuryn8726.6k11d agoSKILL.md
ai-job-searchby MadsLorentzen10044.0k4d agoCLAUDE.md
claude-howtoby luongnv8910041.7k6d agoCLAUDE.md
algorithmic-artby anthropics100177.9k3d agoSKILL.md
pptxby anthropics100177.9k3d agoSKILL.md

Frequently asked questions

How do I install growth-loops?
Run npx skills add phuryn/pm-skills --skill growth-loops. The install tabs above show the steps for each supported agent.
Which AI agents does growth-loops work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is growth-loops safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is growth-loops still maintained?
The repository was last updated 11 days ago, so growth-loops is actively maintained.

name: growth-loops description: "Identify growth loops (flywheels) for sustainable traction. Evaluates 5 loop types: Viral, Usage, Collaboration, User-Generated, and Referral. Use when designing growth mechanisms, building product-led traction, or understanding how growth loops work."

Growth Loops

Overview

Identify and design growth loops (flywheels) that create sustainable traction. This skill evaluates five proven growth loop mechanisms to reduce reliance on paid acquisition and build product-led growth.

When to Use

  • Designing growth mechanisms for a product
  • Building sustainable viral or referral traction
  • Reducing reliance on paid acquisition
  • Analyzing competitor growth strategies
  • Optimizing product for product-led growth

The 5 Growth Loop Types

1. Viral Loop

Product content created by users gets shared on external platforms, bringing new users back to the product.

  • Mechanism: Users create content in-product → Share on social/external platforms → New users discover and signup
  • Example: Figma designs shared as links, Loom videos shared in emails
  • Strength: Exponential user acquisition if content is inherently shareable
  • Challenge: Requires highly shareable output and strong incentive to share

2. Usage Loop

Users create content or value within the product, then share it, which invites new users or drives re-engagement.

  • Mechanism: User creates → Shares creation → Others consume → Become engaged users
  • Example: Twitter threads, Medium articles, Notion templates shared publicly
  • Strength: Growth tied directly to product usage and network effects
  • Challenge: Requires content creation friction to be very low

3. Collaboration Loop

Users invite colleagues to co-create or collaborate within the product, expanding the user base within organizations.

  • Mechanism: User creates → Invites colleagues for collaboration → Colleagues discover product value
  • Example: Google Docs invitations, Figma team projects, Slack channels
  • Strength: Deep organizational penetration and high retention
  • Challenge: Works best for collaborative/team-based products

4. User-Generated Loop

Users discover new content or features through other users' creations, then create and share their own content.

  • Mechanism: User discovers content → Creates similar content → Shares creation → Others discover
  • Example: TikTok, Pinterest, YouTube trends driving creator participation
  • Strength: Creates content flywheel and network effects
  • Challenge: Requires critical mass of quality content to sustain

5. Referral Loop

Users invite other potential users in exchange for rewards, incentives, or social recognition.

  • Mechanism: User refers → Referred user joins → Referrer gets reward → Shares more referrals
  • Example: Dropbox referral bonus, Uber rider referrals, PayPal signup bonuses
  • Strength: Directly incentivizes acquisition; easy to measure ROI
  • Challenge: Requires valuable incentive without eroding unit economics

How It Works

Step 1: Define Product Value

Clarify the core value users experience:

  • Primary action users take in your product
  • Value created per user action
  • Network effects present (if any)
  • Friction points in the experience

Step 2: Evaluate Loop Fit

Assess which growth loops align with your product:

  • Product type (collaborative, content-based, utility, etc.)
  • Target user behavior and sharing habits
  • Network effects already present
  • Existing user base and engagement

Step 3: Design Loop Mechanics

Create specific loop implementation:

  • Trigger that initiates sharing or invitations
  • Incentive for participation (intrinsic or extrinsic)
  • Ease of sharing mechanism
  • Conversion rate from invite to activation
  • Frequency of loop repetition per user

Step 4: Calculate Loop Coefficient

Estimate growth velocity:

  • Invites/shares per user per cycle
  • Conversion rate of invites to new users
  • Net new users per cycle
  • Time per cycle iteration

Step 5: Build the Loop

Implement the highest-leverage loop first:

  • Start with the most natural loop for your product
  • Optimize messaging and friction
  • Measure loop metrics and conversion rates
  • Compound results over time

Input Format

Use $ARGUMENTS to pass:

  • Product description and primary user action
  • Target user demographics and behavior
  • Existing sharing/collaboration features
  • Current growth channels and metrics
  • Constraints or opportunities

Output

A growth loops analysis including:

  • Ranked evaluation of all 5 loop types for your product
  • Recommended primary growth loop with implementation plan
  • Secondary loops to layer over time
  • Key metrics and measurement framework
  • 30-60-90 day implementation roadmap
  • Potential loop coefficient and growth projections

Framework

Based on growth loops research by Ognjen Bošković. Focuses on compounding user acquisition through built-in, product-native sharing and collaboration mechanisms.

Tips

  • Start with one loop and master it before adding complexity
  • Viral loops compound fastest but take time to build
  • Collaboration loops create strongest retention and LTV
  • Measure loop health weekly during optimization phase
  • Combine loops for multiplicative effect once operating at scale

Further Reading

Related Skills

View on GitHub
GitHub Stars26.6k
CategoryDevelopment
Updated11d ago
Forks2.8k

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions