Agent skill · Content & Marketing

meta-tribe-skill

Analyzes video hooks and scripts using Meta's TRIBE v2 fMRI model, providing a neuro-marketing breakdown of scroll-stopping power and retention risk.

Varnan-Techgithub.com/Varnan-TechGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add Varnan-Tech/opendirectory --skill meta-tribeV2-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 15
SKILL.md size: 9 KB
Bundled scripts: yes
Version: 1.0.0
Declared author: Varnan-Tech
Path: skills/meta-tribeV2-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 571
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Meta Tribe Skill ## Description A highly sophisticated neuroscience and marketing hybrid content analyzer. It leverages Meta's TRIBE v2 model to predict human brain fMRI activity across the Yeo-7 functional networks and translates these biological signals into highly detailed, actionable marketing insights for video hooks and scripts. This tool completely eliminates guesswork in content creation by analyzing the exact neural pathways responsible for scroll-stopping behavior, cognitive retention, and emotional resonance. It also uses a benchmark database of past performance to estimate future views and virality. ## Core Philosophy: The Multi-Disciplinary Expert Protocol To succeed in the modern algorithmic landscape, content must satisfy two distinct criteria: 1. **Neurological Capture (Neuroscience):** The content must physically force the brain to stop scrolling by triggering the Ventral Attention Network (VAN) with surprise and novelty. 2. **Cognitive Retention (Marketing):** The content must sustain logical tracking (DAN) while completely suppressing the brain's default state of boredom and wandering (DMN). **Feedback Tone:** You must balance your feedback. Do not be overly ne

What's inside
Steps it walks through
  1. Description
  2. Core Philosophy: The Multi-Disciplinary Expert Protocol
  3. Virality Prediction Benchmarks (The Eval Database)
  4. Interpreting the Scores & Mandatory Output Format
  5. Contextual Format Bifurcation (CRITICAL)
  6. Detailed Scoring Key:
  7. Overall Verdict Logic:
  8. B2B / Technical Hook Guidelines (CRITICAL):
  9. MANDATORY EXACT OUTPUT FORMAT
  10. Executive Summary & Predicted Virality
  11. Deep Neuroscience Breakdown (Scores out of 100)
  12. Structural Flow & Editorial Analysis
  13. Actionable Optimization Directives
Ships with 14 files
  • README.md
  • references/neuroscience_framework.md
  • scripts/colab_inference.py
  • scripts/deploy_to_persistent.sh
  • scripts/download_and_analyze.py
  • scripts/launch_persistent.sh
  • scripts/local_analyze.py
  • scripts/wait_health.py
  • server/Dockerfile
  • server/Dockerfile.runpod
  • server/requirements.txt
  • server/runpod_handler.py
  • server/server.py
  • showcase.md
More from opendirectory
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About this skill
What does the meta-tribe-skill skill do?

Analyzes video hooks and scripts using Meta's TRIBE v2 fMRI model, providing a neuro-marketing breakdown of scroll-stopping power and retention risk.

How do I install it?

Run `npx skills add Varnan-Tech/opendirectory --skill meta-tribeV2-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Varnan-Tech/opendirectory, a repository with 571 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going