referrals
Skill0 starsChanged 23 days agoMITView on GitHub
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,' 'partner program,' 'referral incentive,' 'how to get referrals,' 'customers referring customers,' 'affiliate payout,' 'get more reviews,' 'G2 reviews,' 'review campaign,' or 'respond to a bad review.' Use this whenever someone wants existing users or partners to bring in new customers. For launch-specific virality, see launch.
24 other projects use a version of this, 19 of them edited.
Adopted by
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- galiprandi/job-seekertheir own version, first seen Nov 5, 2026
- GAPZ787/claude-skillsedited, first seen Nov 1, 2026
- TommyBez/skillsboardedited, first seen Oct 25, 2026
- AbdelrhmanAlquran/claude-skillsedited, first seen Oct 20, 2026
- masterpeteworld/claude-skillsedited, first seen Oct 15, 2026
- anis-dr/skillsedited, first seen Oct 15, 2026
Used with
Projects with it also use remotion-best-practices, ui-ux-pro-max and 4 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
VercelSkillremotion-best-practices
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StrayDragonSkillui-ux-pro-max
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Also in 6 projects that use this
VercelSkillemil-design-eng
This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.
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JetBrainsSkillbrand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
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MicrosoftSkillgrill-with-docs
Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.
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GoogleSkillgrill-me
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Other versions24 projects use a version of this.
Word for word · 1
- coreyhaines31/marketingskills★ 59k100% same
Edited · 19
- Cesarjoquin/Marketing-Skills★ 19093% same
- open-fox/agents★ 5593% same
- SZcalligrapher/slash-skills-subscription★ 3293% same
- TommyBez/skillsboard★ 1093% same
- anis-dr/skills★ 3100% same
- agrivisionai/claude-skills★ 193% same
- ngothanhtung/claude-code-skills★ 193% same
- patinaproject/skills★ 196% same
- productionx-in/Core-Skills★ 193% same
- AayanHetam/chess-coach-ai★ 093% same
9 more not listed
Wrote their own version · 4
- galiprandi/job-seeker★ 120same name
- scayver/marketing-skills★ 8same name
- checkout-page/ecommerce-skills★ 5same name
- david-corroy/skills-marketing-fr★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository52 other files it gives its agents.
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- lead-magnetsSkill
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- marketing-councilSkill
- marketing-ideasSkill
- marketing-loopsSkill
- marketing-planSkill
- marketing-psychologySkill
- offersSkill
- onboardingSkill
- paywallsSkill
- popupsSkill
- pricingSkill
- product-marketingSkill
- programmatic-seoSkill
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- schemaSkill
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- signupSkill
- site-architectureSkill
- smsSkill
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The file
We split this skill into the rules it gives an agent
11 rules. 7 are common, 3 are distinctive, and 1 is very specific to this project.
7
Common
Most of the 20 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 15
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older …
- Common: line 33
Do customers naturally talk about it?
- Distinctive: line 43
Before building a reward-driven program, check whether virality can be built into the product — often cheaper and more durable than paid …
- Distinctive: line 45
Place the product on the Viral Potential Spectrum:
- Distinctive: line 49
If the product is on the natural end, consider product-embedded viral mechanisms (Powered By badges, exposure loops, social sharing, …
- Common: line 97
After achieving a milestone
- Common: line 99
After renewing or upgrading
- Common: line 131
Ask at better moments
- Common: line 133
Test different incentive types
- Common: line 139
Ensure referrer's endorsement is visible
- Common: line 235
After milestone: "You achieved [X]—know others who'd want this?"
“Common” is measured: kept by at least 6 in 10 of the 20 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Referral & Affiliate Programs
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.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, 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):
1. Program Type
- Customer referral program, affiliate program, or both?
- B2B or B2C?
- What's the average customer LTV?
- What's your current CAC from other channels?
2. Current State
- Existing referral/affiliate program?
- Current referral rate (% who refer)?
- What incentives have you tried?
3. Product Fit
- Is your product shareable?
- Does it have network effects?
- Do customers naturally talk about it?
4. Resources
- Tools/platforms you use or consider?
- Budget for referral incentives?
Should You Engineer Virality First?
Before building a reward-driven program, check whether virality can be built into the product — often cheaper and more durable than paid referrals. But don't force virality where it doesn't naturally fit.
Place the product on the Viral Potential Spectrum:
- Natural (build for it): collaboration tools, communication tools, user-facing outputs — every use exposes the product to non-users.
- Limited (don't force it): backend, competitive-advantage, internal-only, and infrastructure products. Invest in referral programs, content, and partnerships instead.
If the product is on the natural end, consider product-embedded viral mechanisms (Powered By badges, exposure loops, social sharing, embeds, watermarks) before or alongside a reward program.
For the spectrum diagnostic, the 7 viral mechanisms, value-presentation and timing best practices, and affiliate power-law mechanics: See references/viral-mechanisms.md
Referral vs. Affiliate
Customer Referral Programs
Best for:
- Existing customers recommending to their network
- Products with natural word-of-mouth
- Lower-ticket or self-serve products
Characteristics:
- Referrer is an existing customer
- One-time or limited rewards
- Higher trust, lower volume
Affiliate Programs
For partner recruitment/activation, cohort economics, executable terms, reconciliation, and measured incremental growth, load the operating playbook. This expands the existing affiliate branch instead of creating an overlapping skill.
Best for:
- Reaching audiences you don't have access to
- Content creators, influencers, bloggers
- Higher-ticket products that justify commissions
Characteristics:
- Affiliates may not be customers
- Ongoing commission relationship
- Higher volume, variable trust
Referral Program Design
The Referral Loop
Trigger Moment → Share Action → Convert Referred → Reward → (Loop)Step 1: Identify Trigger Moments
High-intent moments:
- Right after first "aha" moment
- After achieving a milestone
- After exceptional support
- After renewing or upgrading
Step 2: Design Share Mechanism
Ranked by effectiveness:
- In-product sharing (highest conversion)
- Personalized link
- Email invitation
- Social sharing
- Referral code (works offline)
Step 3: Choose Incentive Structure
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
Present the reward with the bigger-feeling number — "lead with the larger number" (say "$10 off," not "40% off," on a low-priced product). Reward at the aha moment or milestone, not signup. Reduce friction: one-click share, pre-written messages.
For examples and incentive sizing: See references/program-examples.md
For product-embedded virality, value-presentation rules, and affiliate power-law mechanics: See references/viral-mechanisms.md
Program Optimization
Improving Referral Rate
If few customers are referring:
- Ask at better moments
- Simplify sharing process
- Test different incentive types
- Make referral prominent in product
If referrals aren't converting:
- Improve landing experience for referred users
- Strengthen incentive for new users
- Ensure referrer's endorsement is visible
A/B Tests to Run
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
Common Problems & Fixes
| 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 |
Measuring Success
Key Metrics
Program health:
- Active referrers (referred someone in last 30 days)
- 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
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
- Set up tracking and attribution
- Define fraud prevention rules
- Create terms and conditions
- Test complete referral flow
Launch
- Announce to existing customers
- Add in-app referral prompts
- Update website with program details
- Brief support team
Post-Launch (First 30 Days)
- Review conversion funnel
- Identify top referrers
- Gather feedback
- Fix friction points
- Send reminder emails to non-referrers
Email Sequences
Referral Program Launch
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]Referral Nurture Sequence
- Day 7: Remind about referral program
- Day 30: "Know anyone who'd benefit?"
- Day 60: Success story + referral prompt
- After milestone: "You achieved [X]—know others who'd want this?"
Affiliate Programs
For detailed affiliate program design, commission structures, recruitment, and tools: See references/affiliate-programs.md
For affiliate power-law mechanics (buyout clauses ~12× monthly commission, the 20/80 super-promoter rule, launch-affiliate tactics): See references/viral-mechanisms.md
Review Programs
Reviews are the other half of customer advocacy. For review-request programs, responding to reviews, reputation triage, and reusing testimonials with permission (G2, Capterra, Trustpilot, Google, app stores), see references/review-programs.md. Platform rules differ, so check references/review-platform-rules.md before proposing incentives or automation.
Task-Specific Questions
- What type of program (referral, affiliate, or both)?
- What's your customer LTV and current CAC?
- Existing program or starting from scratch?
- What tools/platforms are you considering?
- What's your budget for rewards/commissions?
- Is your product naturally shareable?
Tool Integrations
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 |
Related Skills
- launch: For launching referral program effectively
- emails: For referral nurture campaigns
- marketing-psychology: For understanding referral motivation
- analytics: For tracking referral attribution
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