Creator Screening Skill

Automated creator/influencer screening powered by Memories.ai V2 Video Understanding API.

Parameters

Quick Start

Screen these creators: @anshmehra.in, @nishkarshsharmaa
Parameters: videos_per_creator=3, framework=cac-crusher

Workflow

Step 1: Parse Input

Accept creator URLs in any format:

• Profile: https://www.instagram.com/username/
• Individual reel: https://www.instagram.com/reel/SHORTCODE/
• YouTube: https://www.youtube.com/@channel or /shorts/ID

Step 2: Get Profile & Video Metadata

Memories.ai V2: POST /instagram/video/metadata

python3 scripts/scrape_profiles.py --urls "reel_url1,reel_url2" --channel rapid

Returns per video ($0.01/video):

• Owner profile: username, full_name, followers, verified, profile_pic
• Video stats: views, play_count, duration, caption, comments, dimensions, audio info

Step 3: Video Understanding (MAI)

Memories.ai V2 MAI: POST /instagram/video/mai/transcript

This is the core analysis step. MAI provides:

• Visual scene descriptions: lighting quality, framing, environment, clothing, production value
• Audio transcription: speech-to-text with timestamps
• Content understanding: topic classification, delivery style, structure

python3 scripts/analyze_videos.py --mode mai --videos_per_creator 5 --urls "url1,url2"

Each video returns visual + audio AI analysis. Use this to evaluate:

• Section 2.1: Look & Feel (lighting, environment, framing) — from visual scenes
• Section 2.2: Audio Quality (clarity, echo, consistency) — from audio analysis
• Section 3.x: Delivery & Content (structure, fluency, maturity) — from transcript text
• Section 4: Positioning (tone, energy, brand safety) — from combined analysis

Fallback: If MAI is unavailable, use --mode transcript for audio-only analysis:

python3 scripts/analyze_videos.py --mode transcript --videos_per_creator 5 --urls "url1,url2"

Step 4: Apply Framework

Score against the selected screening framework:

python3 scripts/score_creator.py --framework cac-crusher --profile profile.json --transcripts transcripts.json

Frameworks live in references/frameworks/:

• cac-crusher.md — CAC Crusher Creator Screening Framework (Talking Head + Skit categories)
• default.md — Generic quality screening (5 dimensions, weighted scoring)
• template.md — Template for creating custom frameworks

Step 5: Generate Report

Output per-creator screening cards with:

• Profile stats (followers, verified, engagement)
• Per-section scores (PASS/FAIL/FLAG)
• Transcript excerpts as evidence
• Visual quality notes from MAI
• Final verdict (APPROVED / REJECTED / CONDITIONAL)

Setup

Set the following environment variables before use:

export MEMORIES_API_KEY="your-memories-ai-v2-api-key"   # Required — Memories.ai V2 API key
export APIFY_API_KEY="your-apify-key"                    # Optional — fallback scraper for profiles

Get your API key at https://api-tools.memories.ai

Memories.ai V2 API Reference

All endpoints use: Authorization: \x3CAPI_KEY> header (no Bearer prefix). Base URL: https://mavi-backend.memories.ai/serve/api/v2

Platforms: instagram, tiktok, youtube, twitter

Request body: {"video_url": "...", "channel": "rapid"} MAI response: {"data": {"task_id": "..."}} (async, results via webhook)

URL format: Instagram must use /reel/SHORTCODE/ (not /p/ or /reels/)

Error Handling

• Add 0.5s delay between API calls
• Retry failed requests once, then skip
• If MAI webhook not received, fall back to transcript mode
• Always normalize Instagram URLs: /p/ → /reel/, /reels/ → /reel/