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Build Creator Program

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khadinakbarlabs
build-creator-program

Build a creator-led TikTok/Reels/Shorts marketing program — the Cal AI acquisition model (seed organic creators, repurpose top-performing organic content as paid Spark Ads). Use when the user says 'creator marketing', 'influencer program', 'TikTok growth', 'UGC program', 'Spark Ads', 'creator deals', or wants app growth via creators.

Overview

Publisherkhadinakbarlabs
Repositoryexpo-mobile-app-builder
Skill namebuild-creator-program
Stars
3
Forks
0
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Build Creator Program 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/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/build-creator-program
  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/khadinakbarlabs/expo-mobile-app-builder.git /tmp/expo-mobile-app-builder
mkdir -p .claude/skills
cp -r /tmp/expo-mobile-app-builder/skills/build-creator-program .claude/skills/build-creator-program
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Build Creator Program 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 Build Creator Program 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 Build Creator Program 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.

Build a creator program (the Cal AI model)

The dominant validated indie growth engine of 2024–2026. Cal AI reached ~$50M ARR and ~15M downloads using creator marketing as its primary distribution — not paid ads, not press, not ASO alone. (CNBC) This is the distinct counterpart to the commission-based affiliate program in build-affiliate-program: that one pays for referrals; this one pays for content.

The core model (what made Cal AI work)

  1. Seed with organic creator content. Cal AI worked with ~150 creators who posted regularly on TikTok/Instagram. No hard sell, no "sponsored by Cal AI" reveal — creators just showed themselves scanning food in the first 15 seconds of normal content. Viewers flooded the comments asking "what app is that?" It felt like a friend's recommendation, not an ad.
  2. Identify which creator videos go viral organically. The data, not gut, picks winners.
  3. Repurpose those top organic videos as paid Spark Ads (TikTok) / Meta ads. The creative that already proved itself organically becomes the paid creative. This is the key insight — don't commission ad creative; boost what already worked.
  4. Let the algorithm find lookalikes of converters. Scale what works; kill what doesn't.
  5. The product must be a 3-second value prop. "Take photo → see calories." Perfect for short-form video. If the product can't be demoed in 3 seconds, this model struggles.

Cal AI spent ~$770K/month on ads/marketing at scale, but the ~$2,000 initial creator test sparked the whole engine.

Why this beats traditional affiliate or paid ads

  • Trust. A creator's audience trusts them; an ad is an ad.
  • Permanent backlinks. Videos stay up and keep generating impressions for months/years.
  • Creative as a moat. Paid social platforms reward creative above targeting; creators produce creative at a rate a brand team cannot.
  • Compound. Pieter Levels: "I got a lot of press for AI startups. Press does almost nothing. One TikTok influencer post took PhotoAI MRR from $12K to $40–50K and it stayed there." (bootstrapped founder writeup)

Performance-based creator deals (not vanity sponsorships)

The Cal AI insight: don't buy vanity sponsorships (flat fee for a post). Do performance-based deals where creators earn per install, per trial, or per paying user attributed to their content. This aligns incentives and makes the program measurable.

Deal structures

StructureWhenHow to pay
CPM / flat fee per videoSeeding phase, unproven creatorsSmall fixed payment to lower their risk of making content
CPI (cost per install)Once you can attribute installs to a creator$1–4 per install (benchmarked against your paid CPI)
CPA (cost per paying user)Best alignment; scale phase$10–50 per trial-converted user (benchmark vs LTV)
Revenue shareTop creators, long-term15–30% of first-year subscription revenue they drive

Start with a mix of small flat fees (to seed) + CPA (to reward performance). Move top performers to revenue share.

Attribution (the hard part)

Creator marketing attribution is lossier than paid. Options, from cheapest to most rigorous:

  1. Promo code per creator — "USE CODE SARAH20" — tracks redemptions in RevenueCat or your backend. Simple, lossy (not every install uses the code), but directly ties revenue to a creator. Works with Apple's Custom Product Pages per creator (see custom-product-pages).
  2. Spark Ads / Whitelisting — the creator grants your ad account permission to boost their post. The ad platform then attributes installs to that boosted post deterministically. This is the cleanest attribution and the Cal AI loop.
  3. Branch.io / AppsFlyer — MMP attribution with deferred deep links carrying a creator ID. More rigorous but costs money and lives in the iOS SKAdNetwork fog on iOS non-Apple-ads channels.
  4. DIY clipboard trick — creator's landing page writes CREATOR:sarah to clipboard; app reads it on first launch via expo-clipboard. Free, lossy, requires clipboard consent on iOS 14+. See build-affiliate-program.

For Spark Ads, attribution is handled by the ad platform — that's why the "boost organic winners" model is so measurable.

How to start (the first 30 days)

  1. Find 10–20 creators in the niche with 10K–200K followers (micro-to-mid). Smaller creators convert better per dollar and are hungrier for deals. Use TikTok Creator Marketplace, manual outreach, or a creator-sourcing tool.
  2. Send a brief, not a script. Tell them the 3-second demo and the one benefit. Let them make it native to their voice. Scripted creator content underperforms.
  3. Offer performance deals (small flat fee + CPA). Be explicit that you'll boost the best performers.
  4. Track which content goes viral organically. Watch comments for "what app is that?" — that's the signal.
  5. Boost the top 2–3 organic winners as Spark Ads with a small daily budget ($50–100/day). Let the platform find lookalikes.
  6. Scale what hits your CPA target; kill what doesn't.

What not to do

  • Don't commission polished ad creative from creators. UGC-style native content outperforms brand polish on TikTok/Reels by a wide margin.
  • Don't require a "sponsored by" reveal in the first 3 seconds unless disclosure law requires it (FTC requires disclosure; #ad is usually enough; a jarring reveal kills the organic feel). Follow FTC and local disclosure rules.
  • Don't buy vanity sponsorships with no performance component — you'll spend money and learn nothing.
  • Don't run creator marketing before your onboarding/paywall funnel is tested. Paid amplifies whatever it touches; a leaky funnel just bleeds faster. Cal AI's funnel (87% paywall view → 57% transaction → 63% completion) is what made the spend work. See design-onboarding-funnel and pricing-strategy.
  • Don't rely on a single creator. Diversify; creators churn, get banned, lose relevance.

Pair with

  • build-affiliate-program — the commission/referral counterpart (peer give-get + commission affiliates).
  • design-shareable-result-card — organic sharing from existing users compounds with creator content.
  • custom-product-pages — per-creator Apple CPPs for cleaner attribution.
  • run-paid-acquisition — Spark Ads and Meta boosting are paid channels; this skill feeds their creative.
  • design-onboarding-funnel — the funnel the creators' traffic lands in.

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 Build Creator Program AI skill do?

Build a creator-led TikTok/Reels/Shorts marketing program — the Cal AI acquisition model (seed organic creators, repurpose top-performing organic content as paid Spark Ads). Use when the user says 'creator marketing', 'influencer program', 'TikTok growth', 'UGC program', 'Spark Ads', 'creator deals', or wants app growth via creators.

Why use Build Creator Program on TypingMind?

Because you install it once and use it with any model. Build Creator Program 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 Build Creator Program in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/build-creator-program. 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 Build Creator Program?

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 Build Creator Program?

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

Is the Build Creator Program AI skill free?

Yes. It is published on GitHub by khadinakbarlabs under the MIT 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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