Affiliate Referral Program Stinger logo

Affiliate Referral Program Stinger

Organization
legioncodeinc
affiliate-referral-program-stinger

Design SaaS affiliate and referral programs. Use for platform choice, attribution, commissions, fraud, or program economics. Read README.md for the guide map.

Overview

Publisherlegioncodeinc
Repositoryvibe-coding-tools
Skill nameaffiliate-referral-program-stinger
Stars
94
Forks
44
Bundled files
10
LicenseAGPL-3.0-or-later
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by legioncodeinc on GitHub. Read the source before you install it.

Installation

Install the Affiliate Referral Program Stinger AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/growth-and-customer-tools/skills/affiliate-referral-program-stinger
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/legioncodeinc/vibe-coding-tools.git /tmp/vibe-coding-tools
mkdir -p .claude/skills
cp -r /tmp/vibe-coding-tools/plugins/growth-and-customer-tools/skills/affiliate-referral-program-stinger .claude/skills/affiliate-referral-program-stinger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Affiliate Referral Program Stinger in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Affiliate Referral Program Stinger on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Affiliate Referral Program Stinger is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Affiliate and Referral Program Stinger

Practitioner arsenal for affiliate-referral-program-wasp-drone. Encodes the domain knowledge to select, configure, instrument, and economically validate affiliate and referral programs for SaaS products in 2026.

When to use this stinger

The Angel reads this SKILL.md first for every invocation. Then navigates to the specific guide for the task. Common triggers:

  • Platform selection: "Which affiliate platform should I use?"
  • Attribution design: "Our Safari users aren't being attributed."
  • Fraud configuration: "How do we prevent self-referral fraud?"
  • Payout design: "Should we do 20% recurring or a flat fee?"
  • Economics modeling: "Will this program pay back at 30% commission?"

Platform tiers (2026 snapshot)

SMB / bootstrapped tier (< $5K/month affiliate revenue)

PlatformMonthly baseTransaction feeStripeFraudBest for
Rewardful$49+Up to 9% (revenue-cap plans)YesMidStripe-native SaaS, simplest setup
FirstPromoter$99+0%Yes + Paddle, Recurly, BraintreeStrongestScale past $5K/mo affiliate revenue; 5 billing integrations
Tolt$47+*2.9% + $0.30/conversion*Stripe + PaddleWeakestNeeds embeddable widget on custom domain

*Tolt pricing has changed repeatedly. Always verify current pricing page before recommending.

Break-even rule: FirstPromoter ($99/mo, 0% fees) becomes cheaper than Rewardful (9% fees) when monthly affiliate-tracked revenue exceeds ~$5,000. Model this before recommending.

See guides/01-platform-selection.md for the full decision matrix including mid-market and enterprise tiers (PartnerStack, Impact, Tapfiliate).

Attribution in 2026 (the ITP problem)

The single most important context for any new program:

  • Safari ITP caps JavaScript-set first-party cookies at 7 days (24 hours if the URL contains tracking parameters like utm_source, gclid, fbclid).
  • Firefox ETP blocks third-party cookies by default since v103.
  • Chrome reversed third-party cookie deprecation (April 2025); 3PC remain on by default in Chrome as of 2026. Safari is the irreversible problem.
  • Combined impact: 30-35% of global web traffic already operates without functional cookie-based attribution.

The only escape: set affiliate tracking cookies via HTTP Set-Cookie response headers from your own server (not via JavaScript). Server-set cookies respect the full configured duration (up to ~400 days). S2S postback is the architecturally sound primary attribution path.

See guides/02-attribution-architecture.md for implementation patterns.

Fraud controls (minimum viable set)

Before any commission runs, wire:

  1. Self-referral detection (IP match + /24 subnet check)
  2. Conversion rate anomaly monitoring (flag if outside 2 std dev of program average)
  3. Velocity alerts (flag at 3-5x daily click baseline)
  4. Click-to-conversion time distribution (flag clustering at 0 seconds OR at exact cookie-window boundary)
  5. Disposable email domain block list

See guides/04-fraud-detection.md for detection thresholds and per-platform native controls.

Economics benchmarks (2026, Rewardful dataset)

MetricIndustry benchmark
Average commission rate24.16% (range: 20-30%)
Affiliate activation rate7.6% generate a referral; 1.28% generate a sale
Referral-to-sale conversion0.8% average; 2-5% for strong programs
Average payout per commission$14.10
Program durabilityOnly 15.6% survive long-term
Strong EPC benchmark$1.50-$3.00 range

See guides/05-economics-model.md for the full break-even formula and EPC/LTV model.

Critical directives (from Command Brief)

  • Always distinguish affiliate from referral before recommending a platform. Different economics, fraud profiles, and participant incentives; conflating them causes expensive platform mismatches.
  • Never recommend cookie-only attribution without disclosing ITP / Firefox ETP risk. 30-35% of traffic is already affected.
  • Flag self-referral and velocity fraud controls as mandatory. Programs without minimum controls are abused within days.
  • Always model EPC and LTV payback before finalising a commission rate. A competitive-looking rate can be economically destructive if LTV is low.
  • Do not configure Stripe payout automation without verifying US 1099/W-9 obligations and EU GDPR data obligations. Tax liability risk is real.

Folder layout

text
affiliate-referral-program-stinger/
+- SKILL.md                           (this file — master index)
+- README.md                          (one-page overview)
+- guides/
|  +- 00-principles.md                (taxonomy, three levers, five evaluation criteria)
|  +- 01-platform-selection.md        (decision matrix: SMB to enterprise)
|  +- 02-attribution-architecture.md  (cookie-based vs first-party vs S2S postback)
|  +- 03-payout-design.md             (commission structures, hold periods, payout mechanics)
|  +- 04-fraud-detection.md           (detection thresholds, platform controls, supplemental layers)
|  +- 05-economics-model.md           (EPC, LTV payback, break-even formula, benchmarks)
+- examples/
|  +- bootstrapped-saas-rewardful-setup.md     (happy path: sub-$10K MRR, Rewardful, Stripe)
|  +- enterprise-partnerstack-checklist.md     (Series B+ scenario, PartnerStack, S2S attribution)
+- templates/
|  +- program-config-spec.md          (per-engagement structured capture template)
+- reports/
|  +- README.md                       (report format and past-run accumulation notes)
+- research/                          (owned by scripture-historian — do not modify)
   +- research-plan.md
   +- research-summary.md
   +- index.md
   +- external/                       (12 source notes)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Affiliate Referral Program Stinger AI skill do?

Design SaaS affiliate and referral programs. Use for platform choice, attribution, commissions, fraud, or program economics. Read README.md for the guide map.

Why use Affiliate Referral Program Stinger on TypingMind?

Because you install it once and use it with any model. Affiliate Referral Program Stinger is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Affiliate Referral Program Stinger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/growth-and-customer-tools/skills/affiliate-referral-program-stinger. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Affiliate Referral Program Stinger?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Affiliate Referral Program Stinger?

As many as you like. As long as a model supports skills, you can use Affiliate Referral Program Stinger with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Affiliate Referral Program Stinger AI skill free?

Yes. It is published on GitHub by legioncodeinc under the AGPL-3.0-or-later license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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