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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.

O que é opendirectory?

opendirectory is a Claude Code agent skill that analyzes video hooks and scripts using Meta's TRIBE v2 fMRI model, providing a neuro-marketing breakdown of scroll-stopping power and retention risk.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/Varnan-Tech/opendirectory/tree/main/skills/meta-tribeV2-skill

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Documentação

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.

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.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Varnan-Tech/opendirectory

Use when the user asks to generate a blog cover image, thumbnail, or article header. Automatically uses modern typography, brand logos, and Google Search grounding to create beautiful 16:9 images with Gemini 3.1 Flash Image Preview.

Varnan-Tech/opendirectory

World-class brand strategist and naming expert. Uses an interrogation-led discovery phase to extract your brand's DNA, then applies scientific naming frameworks (Phonosemantics) and automated multi-TLD domain checking.

Varnan-Tech/opendirectory

Use when the user asks to generate or update a project's CLAUDE or AGENTS context file from a codebase scan. Writes a focused file under 100 lines containing only the non-obvious build commands, conventions, and gotchas Claude Code needs.

Varnan-Tech/opendirectory

Use when the user wants to verify cold emails, enrich a lead list, or autonomously guess email addresses from a CSV using ValidEmail.co or the open-source Reacher engine.

Varnan-Tech/opendirectory

Competitive intelligence orchestrator tracking companies across 8+ platforms (GitHub, Twitter, Reddit, HN, PH, YC Jobs) with heat scores and AI briefings.

Varnan-Tech/opendirectory

Give it your product URL or description. It finds your top 5 competitors, runs three-track PR research across all of them (editorial, podcasts, communities), identifies which channels appear most frequently, looks up the journalist or host for each, and returns a tiered outreach list with story angles and ready-to-send cold pitch drafts tailored to your product. Use when asked to find PR opportunities, discover where competitors got featured, build a media outreach list, find which journalists cover my space, or get pitch templates for press coverage.

Varnan-Tech/opendirectory

Generate high-converting, deep-dive growth case studies in MDX format. Use this skill when asked to write a case study or blog post about a company's growth, tech stack, or product-led strategy. It handles the full pipeline (researching the company via Tavily, generating a 16:9 cover image, quality checking the draft, uploading assets to cloud storage, and pushing directly to the target repository).

Varnan-Tech/opendirectory

Scans your project for outdated npm, pip, Cargo, Go, or Ruby packages. Runs a CVE security audit. Fetches changelogs, summarizes breaking changes with Gemini, and opens one PR per risk group (patch, minor, major). Includes Diagnosis Mode for install conflicts. Use when asked to update dependencies, check for outdated packages, open dependency PRs, scan for package updates, audit for CVEs, or flag breaking changes in upgrades. Trigger when a user says "check for outdated packages", "update my dependencies", "open PRs for dependency updates", "scan for CVEs", or "which packages need upgrading".

Varnan-Tech/opendirectory

Generates and updates README.md and API reference docs by reading your codebase's functions, routes, types, schemas, and architecture. Uses graphify to build a knowledge graph first, then writes accurate docs from it. Use when asked to write docs, generate a README, document an API, update stale docs, create an API reference from code, add an architecture section, or document a project in any language. Trigger when a user says their docs are missing, outdated, or wants to document their codebase without writing it manually.

Varnan-Tech/opendirectory

Evaluates expired domain candidates against a target niche, scores them by topical relevance, historical activity level, and history cleanliness, then outputs a ranked shortlist with explainable reasoning and risk flags.

Varnan-Tech/opendirectory

Brutally honest developer-experience audit for a GitHub repo. Scores 10 DX dimensions (time-to-first-success, README clarity, visual proof, install, quick-start, docs, examples, community, trust, marketing), writes a shareable roast in the requested tone (brutal/honest/kind), produces a prioritized action plan ranked by impact × effort, and sketches an ideal README. Trigger when user says "roast my repo", "audit my README", "dx audit", "developer experience review", "score my GitHub project", "before launch checklist", or "make my repo shareable".

Varnan-Tech/opendirectory

Drafts and designs a complete HTML email newsletter from a topic or content brief. Outputs paste-ready HTML for Loops, Mailchimp, Beehiiv, Resend, or any standard email platform. Includes subject line options and plain-text fallback. Trigger when a user says "write a newsletter", "draft an email newsletter", "create an HTML email", "design an email for my subscribers", or "write a newsletter about [topic]".

Varnan-Tech/opendirectory

Takes a GitHub PR URL or the current branch and writes a plain-English explanation of what it does and why, then posts it as a PR comment. Use when asked to explain a PR, summarize a pull request, write a plain-English description of a PR, add a summary comment to a PR, or understand what a PR changes. Trigger when a user says "explain this PR", "summarize this pull request", "what does this PR do", "add a comment explaining the PR", or shares a GitHub PR URL and asks what it does.

Varnan-Tech/opendirectory

Audit how often LLMs recommend your brand vs competitors and generate a GEO action plan.

Varnan-Tech/opendirectory

Takes a competitor's public GitHub repo URL, fetches their open issues via the GitHub REST API, filters noise locally, clusters issues into 6 demand categories, computes a demand score per issue and per cluster, and outputs a ranked demand gap report with a GTM messaging brief. Use when asked to scan a competitor's GitHub issues, find what their users are begging for, turn GitHub complaints into product positioning, identify competitor feature gaps, or generate messaging from real user demand. Trigger when a user says "scan competitor issues", "what are users asking for on X repo", "find demand gaps in Y", "turn GitHub issues into messaging", or "what should I build based on competitor complaints".

Varnan-Tech/opendirectory

Find recurring confusion in your repo's GitHub Discussions, rank it by urgency, and draft the actual docs fixes and content angles — with verbatim community quotes and source links as evidence.

Varnan-Tech/opendirectory

SEO keyword research workflow for blog generation using Google Trends data. Use when writing blog posts, planning content calendars, or optimizing articles for search engines. Finds breakout keywords, builds content structure, and generates SEO-optimized blog outlines targeting tech and developer audiences.

Varnan-Tech/opendirectory

Generates a professionally designed case study PDF for B2B SaaS sales and marketing. Supports 7 page layouts, 9 style presets, 1-4 page output. Trigger when user says "create a case study", "write a customer story", "make a case study PDF", "design a success story", "turn this customer win into a PDF".

Varnan-Tech/opendirectory

Generates data visualization charts (bar, line, area, pie, doughnut, scatter, radar, treemap) as PNG using Apache ECharts v6. 1080×1080px default, 5 style presets, highlight annotations. Trigger when user says "create a chart", "visualize data", "make a bar chart", "line graph", "pie chart", "data visualization", "chart this data", "plot", "graph", or "visualize these numbers".

Varnan-Tech/opendirectory

Fetches low-star App Store and Google Play reviews, clusters them into broken-promise patterns, and generates a ranked copy brief with positioning opportunities.

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