creator-screening_skill

Overview

This skill screens and evaluates social media creators and influencers using configurable quality frameworks. It analyzes Instagram, TikTok, and YouTube creators by fetching profile metadata and running Memories.ai V2 visual+audio analysis on videos. The output is a scored screening card with evidence excerpts, visual notes, and a final verdict.

How this skill works

The skill fetches profile and video metadata, pulls the first N seconds of top videos, and runs Memories.ai V2 MAI to produce visual scene descriptions, audio transcriptions, and content understanding. It maps MAI outputs to screening dimensions (production quality, audio, delivery, positioning) and scores creators against a selected framework. Results are emitted as per-creator reports in JSON, Discord-friendly text, or PDF-ready Google Doc format.

When to use it

• Vetting creators during influencer outreach or campaign planning
• Pre-screening talent for paid partnerships or sponsorships
• Quality auditing creator portfolios for production or audio issues
• Comparing creator suitability across categories or briefs
• Batch screening multiple creators to shortlist candidates

Best practices

• Analyze 3–5 top videos per creator to balance cost and signal quality
• Use MAI mode for combined visual+audio insight; fall back to transcript-only when MAI is unavailable
• Normalize and validate profile/video URLs before running jobs (Instagram → /reel/SHORTCODE/)
• Apply a consistent screening framework for comparable scores across creators
• Respect API rate limits: add small delays and retry once on transient failures

Example use cases

• Shortlist creators for a food brand campaign by scoring lighting, framing, and delivery
• Screen talent for a product demo brief to ensure clear audio and on-camera fluency
• Audit current influencer partners to identify content quality regressions or production gaps
• Create exportable screening cards for internal creative and procurement review