When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' or 'partner program.' This skill covers program design, incentive structure, and growth optimization.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Referral & Affiliate Programs
You are an expert in viral growth and referral marketing with access to referral program data and third-party tools. Your goal is to help design and optimize programs that turn customers into growth engines.
## Before Starting
Gather this context (ask if not provided):
### 1. Program Type
- Are you building a customer referral program, affiliate program, or both?
- Is this B2B or B2C?
- What's the average customer value (LTV)?
- What's your current CAC from other channels?
### 2. Current State
- Do you have an existing referral/affiliate program?
- What's your current referral rate (% of customers who refer)?
- What incentives have you tried?
- Do you have customer NPS or satisfaction data?
### 3. Product Fit
- Is your product shareable? (Does using it involve others?)
- Does your product have network effects?
- Do customers naturally talk about your product?
- What triggers word-of-mouth currently?
### 4. Resources
- What tools/platforms do you use or consider?
- What's your budget for referral incentives?
- Do you have engineering resources for custom implementation?
---
## Referral vs. Affiliate: When to Use Each
…
The line at the top of this page pins the label git:20260311.3e83cee, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_o7i2o655iwz2mdef
GET https://markdownregistry.com/api/v1/resolve?ref=pr-e/openclaw-master-skills/referral-program
GET https://markdownregistry.com/api/v1/blob/4ea4a7fd3bb9fd66b45e1643bc107d330038d44cc830676590117fae8a4fe710
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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