A specialized AI agent skill designed to score and select the ideal creators for paid amplification across major advertising ecosystems.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kohl-creator-selector
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install kohl-creator-selector using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is KOL Creator Selector?
The KOL Creator Selector is a high-performance tool within the Openclaw Skills ecosystem designed to bridge the gap between influencer selection and paid media execution. It moves beyond generic creator discovery by focusing strictly on advertising workflows, ensuring that every creator partnership is backed by data-driven fit scoring and clear collaboration logic.
By integrating this skill into your AI agent's repertoire, you enable sophisticated ad execution guidance tied directly to business outcomes. Whether you are managing Meta, TikTok, YouTube, or Shopify Ads, this skill provides the strategic framework necessary to identify creators who can drive meaningful revenue, improve ROAS, and lower CPA through structured paid amplification.
KOL Creator Selector Use Cases
- Scaling traffic via TikTok and YouTube Ads without collapsing ROAS.
- Designing a creator-led expansion strategy for new market entry.
- Improving ad performance through a channel mix reset when ROAS drops.
- Creating highly targeted retargeting architectures using creator-generated content.
- Developing a test matrix for new creator assets to find winning creative combinations.
How KOL Creator Selector Works
- Objective Definition: The skill analyzes growth targets and KPI priorities to establish a primary and secondary metric hierarchy.
- Channel Assignment: Defines specific roles for Meta, TikTok, and YouTube channels based on their position in the marketing funnel.
- Budget Allocation: Distributes spend across creators and channels based on expected signal strength and risk profiles.
- Test Cell Design: Generates specific test matrices and learning windows to validate creator performance before scaling.
- Optimization Logic: Applies predefined scale, hold, and stop rules to manage budget efficiency and risk mitigation.
KOL Creator Selector Setup
To deploy the KOL Creator Selector within your environment, ensure your agent has access to the Openclaw Skills library and follow these steps:
# Install the Openclaw CLI if not already present
npm install -g @openclaw/cli
# Add the creator-selector skill to your agent
openclaw skill add kol-creator-selector
# Configure your platform API keys (Meta, TikTok, etc.)
openclaw configure kol-creator-selector
KOL Creator Selector Data Schema & Taxonomy
The skill produces structured data outputs to ensure interoperability with ad managers and reporting tools:
| Component | Format | Description |
|---|---|---|
| Strategy Snapshot | JSON/Markdown | Overview of growth targets and KPI priorities. |
| Channel Definition | List | Explicit roles for each platform (e.g., Demand Creation vs. Capture). |
| Budget Plan | Key-Value Pair | Percentage-based allocation across the selected channel scope. |
| Test Matrix | Table | Defined variables, cell IDs, and success metrics for creative testing. |
| Ruleset | Logic Tree | Automated Scale and Kill rules based on real-time ROAS/CPA performance. |
KOL Creator Selector Advanced Features
- Platform-Aware Logic: Customizes bidding and creative cadence specifically for TikTok vs. Google Ads intent patterns.
- Risk-Adjusted Scaling: Includes mandatory rollback and stop-loss conditions for high-spend scenarios.
- Modular Creative Testing: Supports the design of layered targeting using modular creator assets.
- Conflict Prioritization: Automatically prioritizes revenue efficiency over pure volume when KPI conflicts are detected.
- Structured Handoffs: Escalates high-risk issues (tracking breakage or policy violations) with detailed payload data for human intervention.
SKILL.md
Loading
Related Openclaw Skills
spanDEX Trader
A high-performance trading meta-aggregator for the Base chain that races six different providers to ensure the best execution prices.
Hallucination Guard
A multi-layered defense system designed to detect, prevent, and audit AI agent hallucinations during complex task execution.
Aithon Marketplace
A live B2B services marketplace for searching, quoting, and transacting enterprise technology services like fiber, cloud, and managed IT.
LaunchThatBot Import
A secure migration utility for exporting Openclaw agent configurations, memory, and skills to a managed LaunchThatBot deployment with end-to-end encryption.
Config Format Converter
A universal configuration file converter and validator supporting JSON, YAML, and TOML formats for streamlined project setup.
Sleep Science Agent Skill
A comprehensive knowledge base and algorithmic engine for AI agents to calculate optimal sleep timing, manage caffeine intake, and analyze circadian health.
Featured*
