Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add thatrebeccarae/claude-marketing --skill tiktok-adsgit clone --depth 1 https://github.com/thatrebeccarae/claude-marketingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thatrebeccarae/claude-marketing/tiktok-ads)<a href="https://agentmods.dev/skills/thatrebeccarae/claude-marketing/tiktok-ads"><img src="https://agentmods.dev/badge/skills/thatrebeccarae/claude-marketing/tiktok-ads/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thatrebeccarae/claude-marketing/tiktok-ads"><img src="https://agentmods.dev/badge/skills/thatrebeccarae/claude-marketing/tiktok-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.01470 |
| Opus 5 | $0.00032 | $0.00735 |
| Sonnet 5 | $0.00013 | $0.00294 |
| Haiku 4.5 | $0.00006 | $0.00147 |
Grade A, and why
tiktok-ads scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TikTok Ads
TikTok advertising — campaigns, creative, targeting, Spark Ads, Shop integration, and measurement.
Install
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/tiktok-ads ~/.claude/skills/
Campaign Objectives
| Objective | Optimization Goal | Best For |
|---|---|---|
| Reach | Maximum impressions | Brand awareness, launches |
| Traffic | Link clicks | Blog, landing page visits |
| Video Views | 6s or 2s views | Content promotion, retargeting pools |
| Community Interaction | Followers, profile visits | Account growth |
| Lead Generation | In-app form submissions | B2C lead capture |
| App Promotion | Installs, in-app events | Mobile app growth |
| Website Conversions | Purchase, signup, add-to-cart | E-commerce, SaaS |
| Product Sales (Shop) | TikTok Shop purchases | Social commerce |
Ad Formats
| Format | Specs | Best For |
|---|---|---|
| In-Feed Ads | 9:16 vertical, 5-60s, sound on | Standard performance ads |
| Spark Ads | Boost organic posts (yours or creators) | Authenticity, social proof |
| TopView | Full-screen on app open, up to 60s | Maximum reach, launches |
| Branded Hashtag Challenge | Custom hashtag + landing page | UGC, viral campaigns |
| Branded Effects | Custom AR filters/stickers | Interactive engagement |
| Collection Ads | Product cards below video | E-commerce browsing |
| Dynamic Showcase Ads (DSA) | Auto-generated from catalog | Retargeting, catalog scale |
| TikTok Shop Ads | Video Shopping Ads, Live Shopping | Direct social commerce |
Creative Best Practices
The TikTok Creative Formula
Hook (0-3s) → Value/Story (3-15s) → CTA (last 3s)
- Hook in first 3 seconds — the scroll-stopping moment. Use text overlay, unexpected visual, or direct address ("Stop scrolling if you...")
- Native aesthetic — look like a TikTok, not an ad. Phone-shot, real people, trending sounds
- Sound on — 93% of TikTok is consumed with sound. Music and voiceover are critical
- Vertical video — 9:16 only. Never letterboxed horizontal
- Text overlays — 73% of top-performing ads use on-screen text
- Fast pacing — Cut every 2-3 seconds. Static shots die
- Creator-led > brand-polished — UGC-style consistently outperforms studio creative
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 146 lines · 65 tokens per session scan A 3346258a16f2
tiktok-ads is a skill published in the GitHub repository thatrebeccarae/claude-marketing (136 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 1,470 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
ecommerce-patterns
E-commerce: cart, checkout, payments (Stripe/Adyen), order state, inventory, promos, tax. Triggers: cart, checkout, SKU, payment, Stripe, Shopify, Medusa, Magento, coupon, refund.
pool-manager
Gestion de pools de sous-agents pré-instanciés pour performance et réutilisation. Se déclenche avec "pool agent", "agent pool", "pool de sous-agents", "pre-allocated agents", "agent reuse", "warm agents", "agent cache", "worker pool agents". Couvre sizing, checkout/checkin, state reset, health monitoring, auto-scaling…
hauslagerist-reader
Analysiert bereitgestellte Bestandslisten oder Exporte ohne Bindung an ein bestimmtes Lagerprogramm.
grand-slam-offers
Master Alex Hormozi's offer creation framework from "$100M Offers" (2021). Build irresistible offers using the Value Equation, stacking, guarantees, and scarcity. Use when: Creating new product or service offers; Restructuring existing offers for higher conversions; Pricing premium products and services; Building…
pricing-strategy
Design products around price using Madhavan Ramanujam's "Monetizing Innovation" methodology—determine willingness to pay before you build, not after. Use when: Set pricing for a new product before or during development; Validate willingness to pay before investing in features; Structure pricing tiers…
inventory-forecasting
Forecast inventory needs using demand analysis, safety stock calculations, reorder point optimization, and seasonal adjustment.