Suede-owned referral and affiliate program discipline. An agent skill from JasonColapietro/suede-creator-skills.

MITAuto-check passedMarketing & SEO

Install Suede Referrals

skills CLI
$ npx skills add JasonColapietro/suede-creator-skills --skill suede-referrals -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JasonColapietro/suede-creator-skills suede-referrals --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/JasonColapietro/suede-creator-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/suede-referrals .claude/skills/suede-referrals && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
suede-referrals
GitHub stars
127
Token cost
~2.1k tokens
SKILL.md length
953 words
Files
6 (incl. references)
Skills in repo
78
Repo updated
First seen
Licence
MIT

At a glance

Suede-owned referral and affiliate program discipline. An agent skill from JasonColapietro/suede-creator-skills.

  • Works in 7 steps: Program Type → Current State → Product Fit → …
  • Designing refer-a-friend mechanics
  • SKILL.md covers Before Starting, Referral vs. Affiliate, Referral Program Design and Program Optimization, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Suede Referrals is an agent skill from JasonColapietro/suede-creator-skills. Suede-owned referral and affiliate program discipline. Use when designing refer-a-friend mechanics, ambassador or partner incentives, fraud controls, attribution, payout logic, or viral-loop measurement. NOT FOR: executing payouts or changing billing, launch-wide packaging (use suede-launch-packaging), lifecycle messaging (use suede-emails), or reporting unverified referral lift.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `CARD.md`, `agents/openai.yaml` and `evals/evals.json`).

It sits in Marketing & SEO, covering Referral and retention marketing and Influencer and creator marketing. The repository describes itself as: Open-source AI skills for SEO, AI search visibility, conversion copy, marketing strategy, and business operations. Reusable workflows for Claude Code and Codex, plus code review… The licence is MIT.

When your agent uses it

  • Designing refer-a-friend mechanics
  • Partner incentives
  • Viral-loop measurement

Example prompts

  • “/suede-referrals”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Program Type
  2. Current State
  3. Product Fit
  4. Resources
  5. Identify Trigger Moments
  6. Design Share Mechanism
  7. Choose Incentive Structure

What it can do on your machine

Read from SKILL.md and the folder at commit e5f94d7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Suede Referrals loads about 2.1k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 953 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from JasonColapietro/suede-creator-skills at commit e5f94d7, republished under its MIT licence (© JasonColapietro). 953 words, ~2,117 tokens.

Download SKILL.mdSave it as .claude/skills/suede-referrals/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
suede-referrals
description
Suede-owned referral and affiliate program discipline. Use when designing refer-a-friend mechanics, ambassador or partner incentives, fraud controls, attribution, payout logic, or viral-loop measurement. NOT FOR: executing payouts or changing billing, launch-wide packaging (use suede-launch-packaging), lifecycle messaging (use suede-emails), or reporting unverified referral lift.
metadata.version
2.0.0

Suede Referral & Affiliate Programs

Suede Referrals designs measurable customer, affiliate, and partner loops from incentive economics through attribution and fraud controls. It separates modeled loop performance from observed results and keeps activation and payouts behind approval.

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?

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

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

Prompt cadence for customers who have not referred: day 7, day 30, day 60, and after any milestone. The timing is this skill's call; the message copy is not: hand that to suede-emails.

Step 2: Design Share Mechanism

Ranked by effectiveness:

  1. In-product sharing (highest conversion)
  2. Personalized link
  3. Email invitation
  4. Social sharing
  5. 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

For examples and incentive sizing: See references/program-examples.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
ProblemFix
Low awarenessAdd prominent in-app prompts
Low share rateSimplify to one click
Low conversionOptimize referred user experience
Fraud/abuseApply the fraud controls below
One-time referrersAdd tiered/gamified rewards
Fraud Controls

Read references/affiliate-programs.md §Fraud Prevention before designing rewards or writing program terms: it carries the technical, policy, and structural control set (delayed payout after activation, device and IP signals, clawback on refunds, per-period caps, manual review of suspicious patterns). Every program in this skill uses it, customer referral programs included, not only affiliate programs.

Set these thresholds explicitly, because the reference leaves them open:

  • Name the qualifying downstream event that releases a reward (a paid conversion or day-N retention, N stated), never signup alone.
  • Hold payouts until the refund/chargeback window has closed, and state that window in days.
  • State the dollar amount above which a payout goes to manual review before it is released.

Show full SKILL.md (378 more words)Show less

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

Industry-reported ranges, published by referral-platform vendors and not measured on this product. Use them to calibrate a recommendation; never assert them as a result this program will produce or has produced.

  • 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

Affiliate Programs

For affiliate program design, commission structures, recruitment, fraud prevention, and tools: See references/affiliate-programs.md


Tool Integrations

These are evaluation examples, not guaranteed integrations. Verify current vendor documentation, pricing, account access, attribution behavior, payout controls, tax support, and data-export terms before recommending a platform.

ToolBest ForVerify Before Use
Rewardful / ToltSaaS affiliate programsBilling integration, attribution, payouts
Mention MeEnterprise referral programsIdentity, fraud, and reporting controls
Dub.coLink tracking and attributionAttribution window and privacy settings
StripeCommission-related payment recordsLive objects, fees, approvals, tax workflow
IntrowTiered channel partner operationsDeal registration and payout governance
PartnerStackEnterprise partner ecosystemsFees, attribution, approval, data export

Boundaries

  • Do not enable a program, create affiliate accounts, issue links, execute payouts, or change billing and commission objects without verified live state and explicit approval.
  • Do not invent attribution, conversion, fraud, or viral-coefficient results; distinguish modeled economics from observed data.
  • Do not decide tax, labor, privacy, contest, endorsement, or incentive compliance. Surface the jurisdiction-specific review needed before launch.

Routing

  • Use suede-launch-packaging to coordinate the approved program launch.
  • Use suede-emails for referral invitation and nurture sequences.
  • Use suede-marketing-psychology to test incentive framing.
  • Use suede-ab-testing to design and evaluate the incentive, messaging, and placement tests above.
  • Use suede-analytics to define and read referral attribution.

© JasonColapietro, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/suede-referrals of JasonColapietro/suede-creator-skills.

  • SKILL.md
  • CARD.md
  • agents/openai.yaml
  • evals/evals.json
  • references/affiliate-programs.md
  • references/program-examples.md

Open the folder on GitHubat commit e5f94d7

Compare with similar skills

Suede Referrals next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Suede Referrals compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Suede Referrals this skillJasonColapietro/suede-creator-skills127—~2.1kAutomated safety check: PassMIT
Referral Programappeeky/aso-skills2.2k—~2kAutomated safety check: PassMIT
18 Referral Programminhnv0807/ai-business-skills609—~1.9kAutomated safety check: PassMIT
Ecommerce Marketing Strategy BuilderLeoYeAI/openclaw-master-skills2.2k1 repos~4.6kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
Referral Programfreekmurze/dotfiles1k17 repos~1.8kAutomated safety check: PassNone

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Categories

Questions about Suede Referrals

What does Suede Referrals do?

Suede-owned referral and affiliate program discipline. An agent skill from JasonColapietro/suede-creator-skills. Suede Referrals is an agent skill from JasonColapietro/suede-creator-skills. Suede-owned referral and affiliate program discipline.

When should I use Suede Referrals?

Suede Referrals fits situations like: designing refer-a-friend mechanics; partner incentives; viral-loop measurement.

How do I install Suede Referrals in Claude Code?

Run `npx skills add JasonColapietro/suede-creator-skills --skill suede-referrals -a claude-code`. Or copy the skill folder (skills/suede-referrals in JasonColapietro/suede-creator-skills) into .claude/skills/suede-referrals in your project. Claude Code loads it when a task matches its description.

How do I install Suede Referrals in Codex?

Run `npx skills add JasonColapietro/suede-creator-skills --skill suede-referrals -a codex`. Or copy the skill folder (skills/suede-referrals in JasonColapietro/suede-creator-skills) into .agents/skills/suede-referrals in your project. Codex loads it when a task matches its description.

Can I use Suede Referrals in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add JasonColapietro/suede-creator-skills --skill suede-referrals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/suede-referrals, .gemini/skills/suede-referrals, .github/skills/suede-referrals and .opencode/skills/suede-referrals in your project.

What does Suede Referrals need to run?

SKILL.md names no scripts, command-line tools or credentials: Suede Referrals is instructions for the agent only.

Does Suede Referrals access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Suede Referrals safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Suede Referrals use?

Suede Referrals is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Suede Referrals use?

About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Suede Referrals?

Skills that share tags, products or a category with Suede Referrals: Referral Program (appeeky/aso-skills, 2.2k stars), 18 Referral Program (minhnv0807/ai-business-skills, 609 stars), Ecommerce Marketing Strategy Builder (LeoYeAI/openclaw-master-skills, 2.2k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Suede Referrals?

JasonColapietro (a GitHub user) maintains it in JasonColapietro/suede-creator-skills, which has 127 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 10, 2026.

Source: JasonColapietro/suede-creator-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.