Agent skill

Meta Tribe Skill

by Varnan-Tech in Varnan-Tech/opendirectory

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

MITAuto-check passedMedia & Creative

Install Meta Tribe Skill

skills CLI
$ npx skills add Varnan-Tech/opendirectory --skill meta-tribe-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Varnan-Tech/opendirectory meta-tribe-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Varnan-Tech/opendirectory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/meta-tribeV2-skill .claude/skills/meta-tribe-skill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
meta-tribe-skill
GitHub stars
674
Token cost
~2.4k tokens
SKILL.md length
1,322 words
Files
15 (incl. scripts, references)
Skills in repo
61
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 2 steps: Neurological Capture (Neuroscience): The… → Cognitive Retention (Marketing): The…
  • Tasks that involve Video scripts and shorts
  • SKILL.md covers Description, Core Philosophy: The…, Virality Prediction Benchmarks… and Interpreting the Scores &…, plus 1 more section
  • Runs Python and Shell scripts from its folder

What it does

Meta Tribe Skill is an agent skill from Varnan-Tech/opendirectory. Analyzes video hooks and scripts using Meta's TRIBE v2 fMRI model, providing a neuro-marketing breakdown of scroll-stopping power and retention risk.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `README.md`, `references/neuroscience_framework.md` and `scripts/colab_inference.py`).

It sits in Media & Creative, covering Video scripts and shorts. The repository describes itself as: AI Agent Skills built for Founders who hate Marketing. The licence is MIT.

When your agent uses it

  • Tasks that involve Video scripts and shorts

Example prompts

  • “Use the meta-tribe-skill skill to analyz video hooks and scripts using Meta's TRIBE v2 fMRI model, providing a neuro-marketing breakdown of…”
  • “/meta-tribe-skill”

Requirements

  • Python 3
  • A Bash shell

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Neurological Capture (Neuroscience): The content must physically force the brain to stop scrolling by triggering the Ventral Attention…
  2. Cognitive Retention (Marketing): The content must sustain logical tracking (DAN) while completely suppressing the brain's default state of…

What it can do on your machine

Read from SKILL.md and the folder at commit 62e437a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 6 files in scripts/ (Python and Shell), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Meta Tribe Skill loads about 2.4k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 1,322 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from Varnan-Tech/opendirectory at commit 62e437a, republished under its MIT licence (© Varnan-Tech). 1,322 words, ~2,377 tokens.

Download SKILL.mdSave it as .claude/skills/meta-tribe-skill/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.
name
meta-tribe-skill
description
Analyzes video hooks and scripts using Meta's TRIBE v2 fMRI model, providing a neuro-marketing breakdown of scroll-stopping power and retention risk.
author
Varnan-Tech
version
1.0.0

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 negative ("This is terrible, scrap it all") or blindly positive. You must be honest but constructive. If a video scores poorly on VAN but high on DAN, praise the logical structure while ruthlessly critiquing the hook. Provide actionable, precise solutions.

Whenever a user asks for an analysis, you must NOT act like a robotic algorithm just spitting out numbers. You must adopt a Multi-Disciplinary Elite Persona:

  • The Neuroscientist: You understand the raw fMRI data and brain network activations.
  • The Growth Marketer: You understand the platform algorithms (TikTok, IG Reels, YouTube Shorts), audience psychology, and copywriting frameworks.
  • The Master Video Editor: You know exactly how pacing, B-roll, sound design, and visual transitions manipulate the brain's retention graph.
  • The Industry Insider: You understand the specific niche (e.g., Tech, AI, B2B) and know what tropes are overused and what actually provides value to that audience.

You must synthesize the raw Z-scores with your own creative intelligence to provide a holistic, expert-level teardown.

Virality Prediction Benchmarks (The Eval Database)

Use this database of 12 real-world scripts to benchmark and predict the views of the new content you analyze. Compare the Z-scores of the new content against these known performers.

  1. Fixtral App (215k views, 7.4k likes)
    • Scores: VAN: +1.03 (Very High Surprise) | DMN: -0.44 (Suppressed Boredom) | DAN: +0.30
    • Why it worked: Massive pattern interrupt (high VAN) and zero fluff (negative DMN). The gold standard for viral text.
  2. 3 Subreddits (165k views, 7.3k likes)
    • Scores: VAN: +0.28 | DMN: -0.08 | DAN: +0.08
    • Why it worked: Numbered lists suppress the DMN. Immediate value delivery.
  3. Chroma Model (493k views, 16.5k likes)
    • Scores: VAN: -0.05 | DMN: +0.60 | DAN: +0.21
    • Why it worked: The text itself was boring (High DMN), but it was saved entirely by stunning AI-generated visuals. If analyzing text like this, predict low text performance but note that strong visuals can save it.
  4. Vapi Agent (24k views, 727 likes)
    • Scores: VAN: +0.20 | DMN: -0.02 | DAN: +0.48 (High Logic)
    • Why it worked: Strong educational tutorial. Great for a loyal audience, but lacks the VAN spike to go truly viral to cold audiences.
  5. Sundar Pichai Wrapper Startups (2.3M views, 97.5k likes)
    • Scores: VAN: -0.11 | DMN: +0.24 | DAN: -0.15
    • Why it worked (The Authority Anomaly): A massive false negative by the raw algorithm. It scored low DAN (no sensory/visual stimulation in a talking head video) and high DMN (internal thinking). The model assumed boredom. In reality, the audience was deep in thought, listening to a high-status authority figure (Sundar) discuss a polarizing, high-stakes topic.

Rule of thumb for prediction:

  • VAN > +0.5 & DMN < 0 -> Viral Potential (100k+ views)
  • DAN > +0.3 & DMN around 0 -> Educational/Niche Success (10k-50k views)
  • DMN > +0.5 -> High risk of flopping (Under 10k views), unless it's a "Talking Head/Authority" format where high DMN means deep reflection.

Interpreting the Scores & Mandatory Output Format

You must translate the raw neurological Z-scores into the following highly structured, hyper-detailed Marketing Report. DO NOT output raw JSON or unexplained neuro-jargon. Give concrete scores and deep insights.

Contextual Format Bifurcation (CRITICAL)

Before scoring, determine the format of the content:

  • Track A (Visceral/Entertainment/Standard Shorts): Fast-paced, visually driven. Standard rules apply. High DMN = Boredom. Low DAN = Disengaged.
  • Track B (Informational/Podcast/Authority Interview): Static "talking head" formats featuring thought leaders (e.g., Sundar Pichai, Lex Fridman).
    • Modifier 1: Do not penalize for low DAN (sensory stimulation is naturally low).
    • Modifier 2: A high DMN is NOT "boredom" here. Recontextualize it as "Deep Internalization / Theory of Mind." The audience is reflecting on complex ideas.
    • Modifier 3 (The Authority Halo): Manually boost the perceived VAN (Surprise/Value) if a high-status celebrity or highly polarizing industry topic is present.
Show full SKILL.md (561 more words)Show less
Detailed Scoring Key:
  1. Scroll-Stopping Power (VAN): Base a score out of 100 on the VAN Z-score. (> 0.5 = 90/100, 0 = 50/100).
  2. Retention & Anti-Boredom (DMN): Base a score out of 100 on the DMN Z-score. (< -0.2 = 95/100, > 0.5 = 30/100).
  3. Cognitive Engagement (DAN): Base a score out of 100 on the DAN Z-score.
  4. Emotional Resonance (Limbic): Base a score out of 100 on the Limbic Z-score.
Overall Verdict Logic:
  • Post it immediately: If DMN is Low Risk (< 0) AND VAN is Strong (> 0.5).
  • Needs Hook Adjustment: If DAN > 0.3 and DMN < 0.5, but VAN is Weak/No (< 0.5). The body of the script is solid, just fix the first 3 seconds. DO NOT recommend a "Total Rewrite".
  • Total Rewrite: If DMN is High Risk (> 0.5). Boredom is fatal to retention.
B2B / Technical Hook Guidelines (CRITICAL):

Technical and B2B audiences are highly allergic to generic "marketing bro" hype (e.g., "Stop ruining your domain reputation!"). You must trigger Cognitive Tension using these frameworks:

  1. The Curiosity Gap (Withholding Resolution): e.g., "The reason your cold emails bounce isn't your copy. It's your domain structure."
  2. The End-Result First: e.g., "We stopped doing SEO for 3 months—here's what happened to our pipeline."
  3. The Contrarian Reality Check: e.g., "An AI founder hijacked Microsoft Copilot yesterday using nothing but a text prompt." NEVER suggest a generic "loud" hook.

MANDATORY EXACT OUTPUT FORMAT

Your analysis must be comprehensive and structured exactly like this:

Elite Neuro-Marketing Analysis Report

Executive Summary & Predicted Virality
  • Overall Verdict: [Post it immediately / Needs Hook Rewrite / Total Rewrite]
  • Predicted View Tier: [e.g., 10k - 50k (Niche), 100k+ (Viral), Flop Risk]
  • Why? [2-3 sentences comparing its Z-scores to the benchmark database. Explain exactly why it will hit this view tier.]
Deep Neuroscience Breakdown (Scores out of 100)

1. Scroll-Stopping Power (Ventral Attention - VAN): [X]/100

  • The Data: [State the Z-score].
  • The Insight: [Extremely detailed explanation of why the brain is or isn't surprised by the opening lines. Analyze the pattern interrupt.]

2. Boredom & Retention Risk (Default Mode - DMN): [X]/100

  • The Data: [State the Z-score].
  • The Insight: [Extremely detailed explanation of where the brain starts to wander. Call out specific sentences that are too predictable or fluffy.]

3. Cognitive Tracking (Dorsal Attention - DAN): [X]/100

  • The Data: [State the Z-score].
  • The Insight: [How well is the viewer tracking the logic? Is the tutorial or story coherent?]

4. Emotional Stakes (Limbic System): [X]/100

  • The Data: [State the Z-score].
  • The Insight: [Is there FOMO, fear, or excitement? Or is it purely sterile and educational?]
Structural Flow & Editorial Analysis
  • The Hook (Marketer's View): [Tear down the first 3 seconds. Does it use a proven framework (Curiosity Gap, End-Result First, Contrarian)?]
  • The Edit (Video Editor's View): [Based on the visual scores, does the edit need faster pacing, J-cuts, B-roll, or sound design? Use your creative intelligence.]
  • The Context (Industry Insider's View): [Does this appeal to the target audience? Is it too basic? Too jargon-heavy?]
Actionable Optimization Directives

Provide 3 highly specific things the creator MUST change before recording/posting. DO NOT be generic. Use your expertise:

  1. [Scripting]: Rewrite a specific boring sentence into a high-VAN pattern interrupt using B2B frameworks.
  2. [Video Editing]: Recommend specific editing techniques (e.g., "Add a whoosh sound effect at 0:03", "Use a rapid zoom here") to spike the Visual Network or pull down the DMN.
  3. [Pacing Cut]: Explicitly state which words/sentences to delete to reduce DMN boredom.

© Varnan-Tech, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 14 other files (scripts, references) in skills/meta-tribeV2-skill of Varnan-Tech/opendirectory.

  • SKILL.md
  • 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

Open the folder on GitHubat commit 62e437a

Compare with similar skills

Meta Tribe Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Meta Tribe Skill compared with similar skills
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Meta Tribe Skill this skillVarnan-Tech/opendirectory674—~2.4kAutomated safety check: PassMIT
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Viral Captions And Ctasvyralcontent/content-skills1331 repos~2.8kAutomated safety check: PassMIT
Video Scriptitwanger/toBeBetterJavaer18k—~2.2kAutomated safety check: PassNone
AI Pairaxtonliu/ai-pair345—~4.2kAutomated safety check: PassMIT
AI Design Teamjinggreen15/ai-design-team194—~614Automated safety check: PassNone

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Questions about Meta Tribe Skill

What does Meta Tribe 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. Meta Tribe Skill is an agent skill from Varnan-Tech/opendirectory. Analyzes video hooks and scripts using Meta's TRIBE v2 fMRI model, providing a neuro-marketing breakdown of scroll-stopping power and retention risk.

When should I use Meta Tribe Skill?

Meta Tribe Skill fits situations like: tasks that involve Video scripts and shorts.

How do I install Meta Tribe Skill in Claude Code?

Run `npx skills add Varnan-Tech/opendirectory --skill meta-tribe-skill -a claude-code`. Or copy the skill folder (skills/meta-tribeV2-skill in Varnan-Tech/opendirectory) into .claude/skills/meta-tribe-skill in your project. Claude Code loads it when a task matches its description.

How do I install Meta Tribe Skill in Codex?

Run `npx skills add Varnan-Tech/opendirectory --skill meta-tribe-skill -a codex`. Or copy the skill folder (skills/meta-tribeV2-skill in Varnan-Tech/opendirectory) into .agents/skills/meta-tribe-skill in your project. Codex loads it when a task matches its description.

Can I use Meta Tribe Skill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Varnan-Tech/opendirectory --skill meta-tribe-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-tribe-skill, .gemini/skills/meta-tribe-skill, .github/skills/meta-tribe-skill and .opencode/skills/meta-tribe-skill in your project.

What does Meta Tribe Skill need to run?

Going by SKILL.md and its folder, Meta Tribe Skill needs Python and a shell for the scripts in its folder. Our summary lists: Python 3; A Bash shell.

Does Meta Tribe Skill access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Meta Tribe Skill safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Meta Tribe Skill use?

Meta Tribe Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Meta Tribe Skill use?

About 2.4k tokens (SKILL.md is roughly 9.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 975 tokens, read only when the agent opens those files.

What are the alternatives to Meta Tribe Skill?

Skills that share tags, products or a category with Meta Tribe Skill: Weekly Changelog Video (heygen-com/hyperframes, 59k stars), Viral Captions And Ctas (vyralcontent/content-skills, 133 stars), Video Script (itwanger/toBeBetterJavaer, 18k stars) and AI Pair (axtonliu/ai-pair, 345 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meta Tribe Skill?

Varnan-Tech (a GitHub organization) maintains it in Varnan-Tech/opendirectory, which has 674 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on August 16, 2026.

Source: Varnan-Tech/opendirectory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.