Llama 3.1 OptimizedOpen Source

200+ Production
Ollama Personas

A massive library of specialized .Modelfile templates. Designed for professionals in development, marketing, business ops, and SEO who want to turn local LLMs into high-performance agents.

View GitHub Repository

Ollama Personas glowing terminal interface

What is Ollama & Why is it Good?

Ollama is a free, open-source application that lets you run powerful Large Language Models (like Llama 3.1) entirely locally on your own computer. It is highly recommended because your data stays 100% private, it requires no internet connection, and you don't pay any API subscription fees. You completely own the AI.

What Are These Personas For?

A raw LLM is typically generic. These "Personas" are specialized system prompts (packaged as .Modelfiles) that strictly constrain the AI to act as a highly distinct expert. Once running, they will interact with you purely as that expert—for example, writing production-ready Python, formatting markdown, or auditing copy—saving you from writing huge prompts every time.

How to Use Them

1. Install Ollama: Before anything else, you need the Ollama engine installed. Download it free for Windows, Mac, or Linux and run the quick installer so your system can start talking to AI models locally.

2. Download the Personas: Go to the GitHub repository. Click the green "<> Code" button, click "Download ZIP", and carefully extract (unzip) that folder to your Desktop or Downloads folder. Open the new unzipped folder.

3. Install the Personas: To automatically install all 200+ personas, open your terminal inside the folder you just unzipped (For Windows, just right-click any empty space in the folder and choose "Open in Terminal"). Then, copy and paste the correct command below and hit Enter!

For Windows (PowerShell)

Write-Host "Initializing Ollama Prompt Pack for Windows..." -ForegroundColor Cyan

try { ollama list | Out-Null } catch { Write-Host "ERROR: Ollama is not running." -ForegroundColor Red; exit }

Write-Host "Checking dependencies (pulling llama3.1)..." -ForegroundColor Yellow
ollama pull llama3.1

$files = Get-ChildItem -Path ".\templates" -Filter "*.Modelfile" -Recurse
Write-Host "Building $($files.Count) templates..." -ForegroundColor Cyan

foreach ($file in $files) {
    if ($file.Directory.Name -ne "templates") {
        $category = $file.Directory.Name
        $name = $file.BaseName
        $modelName = "opp-$category-$name"
        Write-Host "  [+] Installing: $modelName" -ForegroundColor White
        ollama create $modelName -f $file.FullName | Out-Null
    }
}
Write-Host "SUCCESS: Prompts are now installed." -ForegroundColor Green

For Mac / Linux (Terminal)

#!/bin/bash
echo "🚀 Initializing Ollama Prompt Pack..."

if ! ollama list > /dev/null 2>&1; then
  echo "❌ Error: Ollama is not running."
  exit 1
fi

echo "📦 Checking dependencies (pulling llama3.1)..."
ollama pull llama3.1

if [ ! -d "./templates" ]; then
  echo "❌ Error: /templates folder not found. Please run this command from the root of the unzipped repo."
  exit 1
fi

echo "🏗️ Building template library..."
find ./templates -name "*.Modelfile" | while read -r file; do
    category=$(basename "$(dirname "$file")")
    filename=$(basename "$file" .Modelfile)
    model_name="opp-${category}-${filename}"
    echo "  [+] Installing: $model_name"
    ollama create "$model_name" -f "$file" > /dev/null
done
echo "✅ Success! Prompts are now installed."

4. Use a Persona: Pick an expert below! Click the black terminal box on any card to copy its special command (e.g. ollama run opp-coding-python). Paste that into your terminal and press Enter.

5. Chat with the Expert: You now have an interactive chat session running locally! Type your question or paste in your data (like a messy code block or an email draft). The AI will process it and respond perfectly matching the persona's highly specialized rules.

Scroll horizontally on categories to see more →

ad fatigue monitor

Analysis

Media Buyer. Identify when performance drops.

Filter and Browse Personas

What is Ollama & Why is it Good?

What Are These Personas For?

How to Use Them

ad fatigue monitor

app store seo audit

backlink profile audit

brand equity analyst

brand voice check

churn logic

cohort analysis expert

competitor ad spend

competitor pricing map

competitor swot

content relevance

contract sifter

conversion funnel leak

customer persona extractor

data cleaner

email deliverability audit

ga4 interpreter

google ads audit

heatmap analysis

keyword clusterer

landing page critique

log surgeon

market saturation test

pnl analyst

podcast summarizer

pricing elasticity test

privacy audit

reddit sentiment scan

sales call auditor

schema markup auditor

sentiment tracker

seo audit

social listening

survey distiller

topical authority map

upsell opportunity scan

user journey

ux teardown

affiliate policy

b2b outreach

brand ambassador guide

brand positioning

business model canvas

client onboarding flow

cold call script

contract negotiator

crisis comms

customer loyalty strategy

ecommerce returns policy

email copy pro