AGENT SKILLBY AITYTECH
Referral & affiliate programs
AT A GLANCE
Referral & affiliate programs is a growth agent skill from aitytech. When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. It is published in the aitytech/agentkits-marketing GitHub repository (587 stars) under the MIT license. Install it with: npx skills add aitytech/agentkits-marketing --skill referral-program
- SOURCE REPOSITORY
- aitytech/agentkits-marketing (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 26 KB988 LINES
QUICK ANSWER
- WHAT IT IS01
- When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. What sets it apart is how it narrows growth marketing into one specific workflow rather than a broad, generic prompt.
- INPUTS02
- Context for growth marketing: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for growth marketing: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add aitytech/agentkits-marketing --skill referral-programREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 28
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#
Customer Referral Programs#
Best for:
- Existing customers recommending to their network
- Products with natural word-of-mouth
- Building authentic social proof
- Lower-ticket or self-serve products
Characteristics:
- Referrer is an existing customer
- Motivation: Rewards + helping friends
- Typically one-time or limited rewards
- Tracked via unique links or codes
- Higher trust, lower volume
Affiliate Programs#
Best for:
- Reaching audiences you don't have access to
- Content creators, influencers, bloggers
- Products with clear value proposition
- Higher-ticket products that justify commissions
Characteristics:
- Affiliates may not be customers
- Motivation: Revenue/commission
- Ongoing commission relationship
- Requires more management
- Higher volume, variable trust
Hybrid Approach#
Many successful programs combine both:
- Referral program for customers (simple, small rewards)
- Affiliate program for partners (larger commissions, more structure)
Referral Program Design#
The Referral Loop#
┌─────────────────────────────────────────────────────┐
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Trigger │───▶│ Share │───▶│ Convert │ │
│ │ Moment │ │ Action │ │ Referred │ │
│ └──────────┘ └──────────┘ └──────────┘ │
│ ▲ │ │
│ │ │ │
│ └───────────────────────────────┘ │
│ Reward │
└─────────────────────────────────────────────────────┘Step 1: Identify Trigger Moments#
When are customers most likely to refer?
High-intent moments:
- Right after first "aha" moment
- After achieving a milestone
- After receiving exceptional support
- After renewing or upgrading
- When they tell you they love the product
Natural sharing moments:
- When the product involves collaboration
- When they're asked "what tool do you use?"
- When they share results publicly
- When they complete something shareable
Step 2: Design the Share Mechanism#
Methods ranked by effectiveness:
- In-product sharing — Highest conversion, feels native
- Personalized link — Easy to track, works everywhere
- Email invitation — Direct, personal, higher intent
- Social sharing — Broadest reach, lowest conversion
- Referral code — Memorable, works offline
Best practice: Offer multiple sharing options, lead with the highest-converting method.
Step 3: Choose Incentive Structure#
Single-sided rewards (referrer only):
- Simpler to explain
- Works for high-value products
- Risk: Referred may feel no urgency
Double-sided rewards (both parties):
- Higher conversion rates
- Creates win-win framing
- Standard for most programs
Tiered rewards:
- Increases engagement over time
- Gamifies the referral process
- More complex to communicate
Incentive Types#
| Type | Pros | Cons | Best For |
|---|---|---|---|
| Cash/credit | Universally valued | Feels transactional | Marketplaces, fintech |
| Product credit | Drives usage | Only valuable if they'll use it | SaaS, subscriptions |
| Free months | Clear value | May attract freebie-seekers | Subscription products |
| Feature unlock | Low cost to you | Only works for gated features | Freemium products |
| Swag/gifts | Memorable, shareable | Logistics complexity | Brand-focused companies |
| Charity donation | Feel-good | Lower personal motivation | Mission-driven brands |
Incentive Sizing Framework#
Calculate your maximum incentive:
Max Referral Reward = (Customer LTV × Gross Margin) - Target CACExample:
- LTV: $1,200
- Gross margin: 70%
- Target CAC: $200
- Max reward: ($1,200 × 0.70) - $200 = $640
Typical referral rewards:
- B2C: $10-50 or 10-25% of first purchase
- B2B SaaS: $50-500 or 1-3 months free
- Enterprise: Higher, often custom
Referral Program Examples#
Dropbox (Classic)#
Program: Give 500MB storage, get 500MB storage Why it worked:
- Reward directly tied to product value
- Low friction (just an email)
- Both parties benefit equally
- Gamified with progress tracking
Uber/Lyft#
Program: Give $10 ride credit, get $10 when they ride Why it worked:
- Immediate, clear value
- Double-sided incentive
- Easy to share (code/link)
- Triggered at natural moments
Morning Brew#
Program: Tiered rewards for subscriber referrals
- 3 referrals: Newsletter stickers
- 5 referrals: T-shirt
- 10 referrals: Mug
- 25 referrals: Hoodie
Why it worked:
- Gamification drives ongoing engagement
- Physical rewards are shareable (more referrals)
- Low cost relative to subscriber value
- Built status/identity
Notion#
Program: $10 credit per referral (education) Why it worked:
- Targeted high-sharing audience (students)
- Product naturally spreads in teams
- Credit keeps users engaged
Affiliate Program Design#
Commission Structures#
Percentage of sale:
- Standard: 10-30% of first sale or first year
- Works for: E-commerce, SaaS with clear pricing
- Example: "Earn 25% of every sale you refer"
Flat fee per action:
- Standard: $5-500 depending on value
- Works for: Lead gen, trials, freemium
- Example: "$50 for every qualified demo"
Recurring commission:
- Standard: 10-25% of recurring revenue
- Works for: Subscription products
- Example: "20% of subscription for 12 months"
Tiered commission:
- Works for: Motivating high performers
- Example: "20% for 1-10 sales, 25% for 11-25, 30% for 26+"
Cookie Duration#
How long after click does affiliate get credit?
| Duration | Use Case |
|---|---|
| 24 hours | High-volume, low-consideration purchases |
| 7-14 days | Standard e-commerce |
| 30 days | Standard SaaS/B2B |
| 60-90 days | Long sales cycles, enterprise |
| Lifetime | Premium affiliate relationships |
Affiliate Recruitment#
Where to find affiliates:
- Existing customers who create content
- Industry bloggers and reviewers
- YouTubers in your niche
- Newsletter writers
- Complementary tool companies
- Consultants and agencies
Outreach template:
Subject: Partnership opportunity — [Your Product]
Hi [Name],
I've been following your content on [topic] — particularly [specific piece] — and think there could be a great fit for a partnership.
[Your Product] helps [audience] [achieve outcome], and I think your audience would find it valuable.
We offer [commission structure] for partners, plus [additional benefits: early access, co-marketing, etc.].
Would you be open to learning more?
[Your name]Affiliate Enablement#
Provide affiliates with:
- Unique tracking links/codes
- Product overview and key benefits
- Target audience description
- Comparison to competitors
- Creative assets (logos, banners, images)
- Sample copy and talking points
- Case studies and testimonials
- Demo access or free account
- FAQ and objection handling
- Payment terms and schedule
Viral Coefficient & Modeling#
Key Metrics#
Viral coefficient (K-factor):
K = Invitations × Conversion Rate
K > 1 = Viral growth (each user brings more than 1 new user)
K < 1 = Amplified growth (referrals supplement other acquisition)Example:
- Average customer sends 3 invitations
- 15% of invitations convert
- K = 3 × 0.15 = 0.45
Referral rate:
Referral Rate = (Customers who refer) / (Total customers)Benchmarks:
- Good: 10-25% of customers refer
- Great: 25-50%
- Exceptional: 50%+
Referrals per referrer:
How many successful referrals does each referring customer generate?Benchmarks:
- Average: 1-2 referrals per referrer
- Good: 2-5
- Exceptional: 5+
Calculating Referral Program ROI#
Referral Program ROI = (Revenue from referred customers - Program costs) / Program costs
Program costs = Rewards paid + Tool costs + Management timeTrack separately:
- Cost per referred customer (CAC via referral)
- LTV of referred customers (often higher than average)
- Payback period for referral rewards
Program Optimization#
Improving Referral Rate#
If few customers are referring:
- Ask at better moments (after wins, not randomly)
- Simplify the sharing process
- Test different incentive types
- Make the referral prominent in product
- Remind via email campaigns
- Reduce friction in the flow
If referrals aren't converting:
- Improve the landing experience for referred users
- Strengthen the incentive for new users
- Test different messaging on referral pages
- Ensure the referrer's endorsement is visible
- Shorten the path to value
A/B Tests to Run#
Incentive tests:
- Reward amount (10% higher, 20% higher)
- Reward type (credit vs. cash vs. free months)
- Single vs. double-sided
- Immediate vs. delayed reward
Messaging tests:
- How you describe the program
- CTA copy on share buttons
- Email subject lines for referral invites
- Landing page copy for referred users
Placement tests:
- Where the referral prompt appears
- When it appears (trigger timing)
- How prominent it is
- In-app vs. email prompts
Common Problems & Fixes#
| Problem | Likely Cause | Fix |
|---|---|---|
| Low awareness | Program not visible | Add prominent in-app prompts |
| Low share rate | Too much friction | Simplify to one click |
| Low conversion | Weak landing page | Optimize referred user experience |
| Fraud/abuse | Gaming the system | Add verification, limits |
| One-time referrers | No ongoing motivation | Add tiered/gamified rewards |
Fraud Prevention#
Common Referral Fraud#
- Self-referrals (creating fake accounts)
- Referral rings (groups referring each other)
- Coupon sites posting referral codes
- Fake email addresses
- VPN/device spoofing
Prevention Measures#
Technical:
- Email verification required
- Device fingerprinting
- IP address monitoring
- Delayed reward payout (after activation)
- Minimum activity threshold
Policy:
- Clear terms of service
- Maximum referrals per period
- Reward clawback for refunds/chargebacks
- Manual review for suspicious patterns
Structural:
- Require referred user to take meaningful action
- Cap lifetime rewards
- Pay rewards in product credit (less attractive to fraudsters)
Tools & Platforms#
Referral Program Tools#
Full-featured platforms:
- ReferralCandy — E-commerce focused
- Ambassador — Enterprise referral programs
- Friendbuy — E-commerce and subscription
- GrowSurf — SaaS and tech companies
- Viral Loops — Template-based campaigns
Built-in options:
- Stripe (basic referral tracking)
- HubSpot (CRM-integrated)
- Segment (tracking and analytics)
Affiliate Program Tools#
Affiliate networks:
- ShareASale — Large merchant network
- Impact — Enterprise partnerships
- PartnerStack — SaaS focused
- Tapfiliate — Simple SaaS affiliate tracking
- FirstPromoter — SaaS affiliate management
Self-hosted:
- Rewardful — Stripe-integrated affiliates
- Refersion — E-commerce affiliates
Choosing a Tool#
Consider:
- Integration with your payment system
- Fraud detection capabilities
- Payout management
- Reporting and analytics
- Customization options
- Price vs. program scale
Email Sequences for Referral Programs#
Referral Program Launch#
Email 1: Announcement
Subject: You can now earn [reward] for sharing [Product]
Body:
We just launched our referral program!
Share [Product] with friends and earn [reward] for each person who signs up. They get [their reward] too.
[Unique referral link]
Here's how it works:
1. Share your link
2. Friend signs up
3. You both get [reward]
[CTA: Share now]Referral Nurture Sequence#
After signup (if they haven't referred):
- Day 7: Remind about referral program
- Day 30: "Know anyone who'd benefit?"
- Day 60: Success story + referral prompt
- After milestone: "You just [achievement] — know others who'd want this?"
Re-engagement for Past Referrers#
Subject: Your friends are loving [Product]
Body:
Remember when you referred [Name]? They've [achievement/milestone].
Know anyone else who'd benefit? You'll earn [reward] for each friend who joins.
[Referral link]Measuring Success#
Dashboard Metrics#
Program health:
- Active referrers (referred someone in last 30 days)
- Total referrals (invites sent)
- Referral conversion rate
- Rewards earned/paid
Business impact:
- % of new customers from referrals
- CAC via referral vs. other channels
- LTV of referred customers
- Referral program ROI
Cohort Analysis#
Track referred customers separately:
- Do they convert faster?
- Do they have higher LTV?
- Do they refer others at higher rates?
- Do they churn less?
Typical findings:
- Referred customers have 16-25% higher LTV
- Referred customers have 18-37% lower churn
- Referred customers refer others at 2-3x rate
Launch Checklist#
Before Launch#
- Define program goals and success metrics
- Design incentive structure
- Build or configure referral tool
- Create referral landing page
- Design email templates
- Set up tracking and attribution
- Define fraud prevention rules
- Create terms and conditions
- Test complete referral flow
- Plan launch announcement
Launch#
- Announce to existing customers (email)
- Add in-app referral prompts
- Update website with program details
- Brief support team on program
- Monitor for fraud/issues
- Track initial metrics
Post-Launch (First 30 Days)#
- Review conversion funnel
- Identify top referrers
- Gather feedback on program
- Fix any friction points
- Plan first optimizations
- Send reminder emails to non-referrers
Questions to Ask#
If you need more context:
- What type of program are you building (referral, affiliate, or both)?
- What's your customer LTV and current CAC?
- Do you have an existing program, or starting from scratch?
- What tools/platforms are you using or considering?
- What's your budget for rewards/commissions?
- Is your product naturally shareable (involves others, visible results)?
Related Skills#
- launch-strategy: For launching referral program effectively
- email-sequence: For referral nurture campaigns
- marketing-psychology: For understanding referral motivation
- analytics-tracking: For tracking referral attribution
- pricing-strategy: For structuring rewards relative to LTV
Supporting file: references/referral-program-guide.md#
Referral Program Design Guide#
Based on research from ReferralCandy (opens in a new tab), GrowSurf (opens in a new tab), Viral Loops (opens in a new tab).
Referral Program Benchmarks#
Key Metrics#
| Metric | Poor | Average | Good | Excellent |
|---|---|---|---|---|
| Participation rate | <5% | 5-15% | 15-30% | >30% |
| Share rate | <10% | 10-25% | 25-40% | >40% |
| Conversion rate | <5% | 5-15% | 15-25% | >25% |
| K-factor | <0.5 | 0.5-1 | 1-1.5 | >1.5 |
K-Factor Calculation#
K-factor = Invites × Conversion Rate
Example:
- Each user invites 5 friends
- 20% convert
- K = 5 × 0.2 = 1.0
K > 1 = Viral growth (each user brings >1 new user)Referral Revenue Benchmarks#
- Average referral customer LTV: 16% higher
- Referral customer retention: 37% higher
- Referral CAC: 70-80% lower than paid
Referral Program Types#
1. Double-Sided Incentive#
Both referrer and referee get reward
| Example | Referrer Gets | Referee Gets |
|---|---|---|
| Dropbox | 500MB storage | 500MB storage |
| Uber | $10 credit | $10 off first ride |
| Airbnb | $25 credit | $25 off first stay |
Best for: Products with viral potential, two-sided value
2. Single-Sided (Referrer Only)#
Only referrer gets reward
| Example | Reward |
|---|---|
| Tesla | $1,000 credit |
| Cash back apps | % of purchase |
Best for: High-value referrals, luxury products
3. Single-Sided (Referee Only)#
Only new user gets reward
| Example | Reward |
|---|---|
| Many SaaS | Extended trial |
| Courses | Discount on first purchase |
Best for: Building goodwill, charitable referrers
4. Tiered/Gamified#
Rewards scale with referral count
Tier 1: 3 referrals → Swag
Tier 2: 5 referrals → Free month
Tier 3: 10 referrals → Lifetime discount
Tier 4: 25 referrals → Featured partnerBest for: Power users, community building
5. Community/Affiliate#
Commission-based ongoing rewards
| Model | Commission |
|---|---|
| One-time | $X per signup |
| Recurring | X% of monthly payment |
| Tiered | % increases with volume |
Best for: B2B, high LTV products, influencers
Incentive Design#
Reward Types#
| Type | Pros | Cons |
|---|---|---|
| Cash | Universal appeal | Transactional feel |
| Credit/Discount | Reinforces usage | Limited to your product |
| Free months | High perceived value | Revenue impact |
| Swag | Brand building | Logistics complexity |
| Features | Zero marginal cost | Limited appeal |
| Points | Gamification | Requires system |
Optimal Reward Sizing#
| Product Price | Referral Reward | Referee Reward |
|---|---|---|
| $10-50/mo | $10-25 | $10-25 or % off |
| $50-200/mo | $25-50 | Free month |
| $200+/mo | $50-100+ | Extended trial |
| One-time <$100 | $10-20 | $10-20 off |
| One-time >$100 | $20-50 | $20-50 off |
Psychology of Rewards#
| Principle | Application |
|---|---|
| Reciprocity | Give referee value first |
| Loss aversion | "Don't lose your reward" |
| Specificity | "$25 credit" not "free stuff" |
| Immediacy | Instant reward > delayed |
| Visibility | Show progress to next tier |
Program Mechanics#
Share Mechanics#
| Method | Conversion | Ease |
|---|---|---|
| Personal link | Medium | High |
| Referral code | Low | High |
| Email invite | High | Medium |
| Social share | Low | High |
| Direct message | Highest | Medium |
Best Practice: Multiple Options#
Share your link:
[🔗 Copy Link]
Or invite by email:
[📧 Email Invites]
Share on social:
[Twitter] [LinkedIn] [Facebook]Attribution & Tracking#
| Method | Tracking |
|---|---|
| Unique link | Best, automatic |
| Referral code | Manual entry |
| Cookies | 30-day window typical |
| Email domain | B2B, limited |
When to Credit Reward#
| Trigger | Pros | Cons |
|---|---|---|
| Signup | Fast reward | Low quality leads |
| Verified email | Quick, validated | Still no value |
| First action | Engaged user | Delays reward |
| Paid conversion | Quality | Long wait |
| After trial | Balanced | Medium wait |
Program Promotion#
Discovery Points#
| Location | Method |
|---|---|
| Post-signup | Welcome email |
| Post-purchase | Confirmation email |
| In-app | Dashboard widget |
| Settings | Referral section |
| Success moment | After key action |
| Anniversary | Yearly reminder |
Email Templates#
Initial Introduction:
Subject: Give $25, Get $25 with [Product]
Hi [Name],
Love [Product]? Share it with friends and you'll
both get $25 credit.
Here's your personal link:
[REFERRAL LINK]
How it works:
1. Share your link with friends
2. They get $25 off their first month
3. You get $25 credit when they subscribe
[Start Sharing →]Reminder Email:
Subject: You have 3 pending referrals
Hi [Name],
Your friends are almost there! 3 people clicked
your referral link but haven't signed up yet.
Send them a friendly reminder:
[Send Reminder Email →]
Your referral link: [LINK]Referral Page Design#
Essential Elements#
┌─────────────────────────────────────┐
│ Give $25, Get $25 │
│ Share [Product] and earn rewards │
├─────────────────────────────────────┤
│ Your unique link: │
│ [example.com/r/abc123] [Copy] │
├─────────────────────────────────────┤
│ [📧 Email] [Twitter] [FB] [LinkedIn]│
├─────────────────────────────────────┤
│ How it works: │
│ 1. Share your link │
│ 2. Friend signs up │
│ 3. You both get $25 │
├─────────────────────────────────────┤
│ Your Stats: │
│ Invited: 12 | Signed up: 5 │
│ Earned: $125 │
├─────────────────────────────────────┤
│ Recent Activity: │
│ ✓ Sarah signed up (You earned $25) │
│ ⏳ Mike clicked (pending) │
└─────────────────────────────────────┘Mobile Optimization#
- Easy copy/share buttons
- Native share sheet
- Progress visualization
- Simple reward tracking
Viral Loop Optimization#
Viral Coefficient Levers#
| Lever | Impact | How to Improve |
|---|---|---|
| Invites sent | High | Prompts, reminders |
| Invite quality | High | Personalization |
| Conversion rate | High | Reward, landing page |
| Time to convert | Medium | Follow-up sequence |
Reducing Friction#
| Friction Point | Solution |
|---|---|
| Finding referral link | Prominent placement |
| Sharing is awkward | Pre-written messages |
| Referee doesn't trust | Show mutual benefit |
| Complex signup | Streamlined flow |
| Unclear reward | Specific, immediate |
Pre-Written Share Messages#
Email template:
Hey [Name],
I've been using [Product] for [time] and thought
you'd love it too. Use my link and we both get $25:
[LINK]
Twitter template:
Loving @Product for [use case]. Use my link to
get $25 off: [LINK]Measuring Success#
Key Metrics#
| Metric | Formula | Target |
|---|---|---|
| Participation Rate | Referrers / Total Users | >20% |
| Share Rate | Shares / Referrers | >30% |
| Click Rate | Clicks / Shares | >20% |
| Conversion Rate | Signups / Clicks | >15% |
| K-Factor | Invites × Conv Rate | >1 |
| Referral Revenue % | Ref Revenue / Total | >15% |
| Referral CAC | Program Cost / Referrals | <50% of paid CAC |
Cohort Analysis#
Track referral customers separately:
- Retention vs non-referral
- LTV vs non-referral
- Engagement vs non-referral
- Time to value vs non-referral
Common Mistakes#
| Mistake | Impact | Fix |
|---|---|---|
| Hidden program | Low participation | Promote actively |
| Complex rules | Confusion | Simplify terms |
| Delayed rewards | Demotivation | Faster gratification |
| No tracking | Can't optimize | Add analytics |
| Generic messaging | Low conversion | Personalize |
| One-time promotion | Fades away | Ongoing nudges |
| Only cash rewards | Transactional | Add experiential |
| No social proof | Low trust | Show success stories |
Program Templates#
Simple Double-Sided#
Name: "Give $X, Get $X"
Reward: Equal credits/discounts
Trigger: After first purchase
Promotion: Post-purchase email
Tracking: Unique linksTiered Ambassador#
Tiers:
- Bronze (3 refs): Swag pack
- Silver (10 refs): Free month
- Gold (25 refs): Annual free
- Platinum (50 refs): Partner status
Recognition:
- Public leaderboard
- Social badges
- Community shoutoutsB2B Commission Program#
Structure:
- First year: 20% of first payment
- Recurring: 10% ongoing
- Bonus: $500 for enterprise deal
Requirements:
- Quality introduction
- Customer stays >3 months
- Maximum 50 referrals/yearTools & Platforms#
Referral Software#
| Tool | Best For | Pricing |
|---|---|---|
| ReferralCandy | E-commerce | $49+/mo |
| GrowSurf | SaaS | Free-$799/mo |
| Viral Loops | Startups | Free-$149/mo |
| Friendbuy | Enterprise | Custom |
| Ambassador | Enterprise | Custom |
| Rewardful | Affiliates | $29+/mo |
Key Features#
- Unique link generation
- Email integration
- Reward automation
- Fraud detection
- Analytics dashboard
- A/B testing
- Multi-currency support
SHOWING THE FIRST PART OF 26 KB · THE FULL TEXT IS ON THIS PAGE
FAQ
07 QUESTIONS
01What is the Referral & affiliate programs agent skill?
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. It is listed under growth in the 100xLab agent skills directory.
02How do I install Referral & affiliate programs in Cursor, Claude Code, or Codex?
Run npx skills add aitytech/agentkits-marketing --skill referral-program in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Referral & affiliate programs, not every skill in the repository.
03What does the Referral & affiliate programs SKILL.md cover?
The SKILL.md includes sections on Before Starting, Program Type, Current State, Product Fit, Resources and Referral vs. Affiliate: When to Use Each. Read the full text on this page or in plain markdown at /resources/agent-skills/aitytech-agentkits-marketing--referral-program--ra08ka/raw.
04Which agents can use Referral & affiliate programs?
Referral & affiliate programs installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Referral & affiliate programs under?
The aitytech/agentkits-marketing repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Referral & affiliate programs free to use?
Reading, copying and installing Referral & affiliate programs costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Referral & affiliate programs?
Referral & affiliate programs comes from https://github.com/aitytech/agentkits-marketing, which has 587 GitHub stars. The SKILL.md is at https://github.com/aitytech/agentkits-marketing/blob/HEAD/skills/referral-program/SKILL.md. The author is aitytech.
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ATTRIBUTION
Referral & affiliate programs was written by its original authors and is published in aitytech/agentkits-marketing (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.