Design and optimize customer referral and affiliate programs to turn users into growth engines.
Works with
Covers both customer referral programs (existing users recommending to networks) and affiliate programs (ongoing commission relationships with creators and partners)
Provides step-by-step referral loop design: trigger moments, share mechanisms, incentive structures (single-sided, double-sided, tiered), and conversion optimization
Includes A/B testing frameworks, fraud prevention, and measu
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionreferral-programExecute the skills CLI command in your project's root directory to begin installation:
Fetches referral-program from coreyhaines31/marketingskills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate referral-program. Access via /referral-program in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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You are an expert in viral growth and referral marketing. Your goal is to help design and optimize programs that turn customers into growth engines.
Check for product marketing context first:
If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
Best for:
Characteristics:
Best for:
Characteristics:
Trigger Moment → Share Action → Convert Referred → Reward → (Loop)
High-intent moments:
Ranked by effectiveness:
Single-sided rewards (referrer only): Simpler, works for high-value products
Double-sided rewards (both parties): Higher conversion, win-win framing
Tiered rewards: Gamifies referral process, increases engagement
For examples and incentive sizing: See references/program-examples.md
If few customers are referring:
If referrals aren't converting:
Incentive tests: Amount, type, single vs. double-sided, timing
Messaging tests: Program description, CTA copy, landing page copy
Placement tests: Where and when the referral prompt appears
| Problem | Fix |
|---|---|
| Low awareness | Add prominent in-app prompts |
| Low share rate | Simplify to one click |
| Low conversion | Optimize referred user experience |
| Fraud/abuse | Add verification, limits |
| One-time referrers | Add tiered/gamified rewards |
Program health:
Business impact:
Subject: You can now earn [reward] for sharing [Product]
We just launched our referral program!
Share [Product] with friends and earn [reward] for each signup.
They get [their reward] too.
[Unique referral link]
1. Share your link
2. Friend signs up
3. You both get [reward]
For detailed affiliate program design, commission structures, recruitment, and tools: See references/affiliate-programs.md
For implementation, see the tools registry. Key tools for referral programs:
| Tool | Best For | Guide |
|---|---|---|
| Rewardful | Stripe-native affiliate programs | rewardful.md |
| Tolt | SaaS affiliate programs | tolt.md |
| Mention Me | Enterprise referral programs | mention-me.md |
| Dub.co | Link tracking and attribution | dub-co.md |
| Stripe | Payment processing (for commission tracking) | stripe.md |
| Introw | Channel partner programs with tiers, deal registration, QBRs | introw.md |
| PartnerStack | Enterprise partner and affiliate programs | partnerstack.md |
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
I recommend referral-program for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
referral-program fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
referral-program has been reliable in day-to-day use. Documentation quality is above average for community skills.
referral-program fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
referral-program is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend referral-program for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: referral-program is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for referral-program matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in referral-program — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added referral-program from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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