A Claude Code Plugin, this project offers an autonomous AI copywriter for SaaS content marketing. It employs the "Ralph Wiggum pattern," an iterative AI loop designed to automate content creation, allowing users to generate marketing materials "while you sleep." The target audience includes SaaS companies and marketers seeking to streamline their content production pipeline.

How It Works

The system utilizes a multi-agent ecosystem comprising TrendScout, Research, and Product/Marketing agents. These agents feed data into a SQLite Content Database, which includes tables for trends, research, and communications. The core "Ralph the Copywriter" agent then processes this input to plan content, write drafts, review, iterate, and publish. Memory persistence is achieved through Git commits, progress.txt files, and prd.json task definitions, with each iteration operating within a fresh context window. The "Ralph Loop" systematically checks tasks, executes them based on acceptance criteria, verifies quality, commits progress, and repeats until all tasks are complete, enabling compound learning.

Quick Start & Requirements

Installation options include adding the repository as a marketplace plugin within Claude Code (recommended: /plugin marketplace add muratcankoylan/ralph-wiggum-marketer followed by /plugin install ralph-wiggum-marketer@muratcankoylan-ralph-wiggum-marketer), cloning locally for development (git clone ... and running claude --plugin-dir ./ralph-wiggum-marketer), or using the interactive plugin manager (/plugin). Key commands for operation are /ralph-init to initialize a new content project, /ralph-status to monitor progress, and /ralph-cancel to halt the active loop. The primary prerequisite is a functional Claude Code environment.

Highlighted Details

• Autonomous AI copywriter tailored for SaaS content marketing.
• "Ralph Wiggum pattern" enables an iterative, autonomous content generation loop.
• Multi-agent architecture for gathering diverse strategic inputs.
• Content workflow encompasses planning, drafting, reviewing, and publishing.
• Memory persistence via Git and simple text files supports iterative learning.
• Customizable content sources and tasks through direct file edits.

Maintenance & Community

No specific details regarding maintainers, community channels (like Discord or Slack), sponsorships, or roadmap were provided in the README.

Licensing & Compatibility

The project is licensed under the MIT license, which generally permits commercial use and integration into closed-source projects. It is designed as a Claude Code Plugin, indicating compatibility within that ecosystem.

Limitations & Caveats

This plugin is dependent on the Claude Code execution environment. The "Ralph Philosophy" emphasizes small, discrete tasks and simple persistence mechanisms, which may not be suitable for highly complex, non-iterative content generation workflows or scenarios requiring sophisticated real-time state management.