A decision-ready workflow for analyzing creator profiles to determine partnership fit, conversion potential, and collaboration quality.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install creator-analysis
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install creator-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Creator Analysis skill is a specialized framework designed to move beyond vanity metrics like follower counts to assess the true strategic value of a creator. By leveraging Openclaw Skills, this tool helps marketing teams and developers build systems that identify whether a creator is a genuine match for a specific product, niche, or audience. It focuses on turning qualitative content patterns and quantitative audience signals into actionable business intelligence.
This skill is particularly effective at separating polished content from actual conversion relevance. It provides a structured methodology to diagnose why a creator might be underperforming or to validate a high-potential partnership before budget is committed. By using Openclaw Skills for creator evaluation, organizations can reduce operational risk and improve the ROI of their influencer and affiliate programs.
To integrate this analysis capability into your environment, ensure the skill definition is accessible to your agent. You can configure the workflow parameters within your Openclaw Skills directory.
# Example command to initiate a creator analysis
openclaw run creator-analysis --handle "@creatorname" --context "SaaS Product Launch"
| Component | Description |
|---|---|
| Verdict | A clear recommendation: prioritize, test, monitor, or skip. |
| Strengths | Observable evidence of high-quality content or audience alignment. |
| Risks / Gaps | Identification of tone inconsistency, reach vs. relevance gaps, or brand safety issues. |
| Use Case | The recommended collaboration style (e.g., UGC, Seeding, Affiliate). |
| Confidence Note | An assessment of data completeness and evidence quality. |
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