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AI-powered LinkedIn post generator using local LLMs via Ollama

Project description

postcraftin

AI-powered LinkedIn post generator using local LLMs via Ollama. Personalized ghostwriter with 6-module profile system, modular onboarding, and CLI interface.

Features

  • Local LLMs — runs fully on your machine via Ollama, no API costs, no data leaks
  • 6-Module Profile System — Identity, Voice, Audience, Content Strategy, Post History, Technical Preferences
  • Modular Onboarding — Update individual modules with --module flag
  • Few-Shot prompting — provide example posts to calibrate the output to your voice
  • Post length control — kurz (150–500), mittel (1.200–1.500), lang (1.900–2.500 Zeichen)
  • Multiple profiles — manage different personas or clients
  • Dynamic Model Selection — List and select from available Ollama models
  • Config Management — Global and profile-specific settings
  • Folder-Based Profiles — Organized storage with drafts/, published/, brandguide/, templates/, history/
  • 10 Storytelling Templates — Verlierer→Gewinner, AHA-Moment, Weg der Veränderung, and more
  • Brand Guide Generator — Auto-generates voice.md, vocabulary.md, anti-patterns.md
  • YAML Frontmatter — Posts include metadata (topics, status, word count, LinkedIn URL)

Requirements

  • Python 3.10+
  • Ollama running locally

Installation

pip install postcraftin

Usage

# Create a profile (interactive wizard - 6 modules)
postcraftin onboard --name myprofile

# Update specific module only
postcraftin onboard --name myprofile --module voice

# Generate a LinkedIn post with template
postcraftin generate --topic "The future of AI" --template verlierer-gewinner

# List available templates
postcraftin profile templates list

# Initialize templates to profile folder
postcraftin profile templates init --name myprofile

# Manage posts (drafts/published)
postcraftin profile posts list
postcraftin profile posts show <filename>
postcraftin profile posts publish <filename>
postcraftin profile posts set-topics <filename> --topics "AI,Future"

# Generate/regenerate brand guide
postcraftin profile brandguide --name myprofile --regenerate

# List available Ollama models
postcraftin models

# Select model interactively
postcraftin config model --select

# Show global config
postcraftin config

# Set profile-specific model
postcraftin profile set myprofile model gemma4:e2b

# List all profiles
postcraftin list-profiles

Default Model

gemma4:e2b — the default model for LinkedIn post generation.

First time? Pull the model with:

ollama pull gemma4:e2b

Want a different model? Browse all available models at: https://ollama.com/library

Configuration

Setting Location Description
Global Model ~/.postcraftin/config.json Default model for all profiles
Profile Model ~/.postcraftin/profiles/{name}/config.json Profile-specific model (optional)
Profiles ~/.postcraftin/profiles/{name}/ Folder-based profile storage
Drafts ~/.postcraftin/profiles/{name}/posts/drafts/ Draft posts with frontmatter
Published ~/.postcraftin/profiles/{name}/posts/published/ Published posts with LinkedIn URL
Templates ~/.postcraftin/profiles/{name}/templates/ Custom storytelling templates
Brand Guide ~/.postcraftin/profiles/{name}/brandguide/ voice.md, vocabulary.md, anti-patterns.md
History ~/.postcraftin/profiles/{name}/history/ Post statistics and analytics

License

MIT

Contributing

Contributions welcome! Open an issue or PR.

Thank you to all contributors!

Built with ❤️ for the LinkedIn community.

Open source forever.

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