A marketing automation framework designed for authentic community engagement, Auto-Commenter leverages Claude AI and Playwright MCP to generate personalized comments that mimic a user's unique writing style. It targets users seeking to scale their presence on platforms like Reddit, aiming to foster genuine interaction, track activity, and identify potential leads without resorting to generic bot-like messaging.

How It Works

The system operates by first learning a user's writing style through analysis of their past comments, creating a "personalization guide." It then deeply analyzes target posts for context and intent, rather than relying on keywords. Using this understanding, it crafts authentic comments that adhere to a 16-point quality checklist. Playwright MCP handles the automation for posting, while the framework tracks daily activity across communities and identifies potential leads based on product fit. This approach aims to replicate a unique human voice and provide genuine value, differentiating it from typical automated comment generators.

Quick Start & Requirements

• Installation: Clone the repository (git clone https://github.com/rokpiy/auto-commenter.git), navigate into the directory (cd auto-commenter), and install dependencies (npm install).
• Prerequisites: Node.js environment (implied by npm), and access to an LLM (Claude AI is specified).
• Configuration: Requires creating personalization files based on user comments and analyzing target communities and optional product information within the .claude/skills/reddit-commenter/resources/ directory.
• Running: Commands include single comment generation ("Write one comment on r/YourSubreddit") and batch mode to fill daily quotas ("Fill today's quota").
• Documentation: Detailed setup is available in SETUP.md, with a quick reference in QUICK_REFERENCE.md.

Highlighted Details

• Style Personalization: Learns and replicates user's writing style using provided comment samples and an LLM analysis.
• 16-Point Quality Checklist: Ensures generated comments are natural, human-like, and contextually relevant.
• Batch Execution: Automates filling daily comment quotas across multiple specified communities.
• Lead Identification: Automatically flags potential customers based on their engagement and product relevance.
• Multi-Platform Ready: Designed for extensibility to platforms like Twitter, LinkedIn, and Discord by adding new personalization files and configurations.

Maintenance & Community

Contribution guidelines are provided in CONTRIBUTING.md. No specific community channels (e.g., Discord, Slack) or notable contributors/sponsorships are detailed in the README.

Licensing & Compatibility

The project is released under the MIT License, which generally permits commercial use and integration into closed-source projects.

Limitations & Caveats

Currently, the tool's primary supported platform is Reddit. Extending functionality to other platforms requires manual creation of new commenter skills, personalization files, and integration with platform-specific APIs or browser automation. The effectiveness of personalization relies heavily on the quality and quantity of user-provided comment samples. Responsible use guidelines emphasize supplementing automated activity with manual engagement and avoiding spam or deceptive practices.