A framework and template (SKILL-TEMPLATE.md) designed to teach AI models to replicate an individual's unique writing voice, including quirks and imperfections. It addresses generic AI output by enabling users to encode personal style and nuances, saving time while ensuring authentic representation.

How It Works

The core approach involves forking the repo and filling a structured template by analyzing personal writing. Users identify consistent patterns, rules, audience adaptations, and channel-specific notes. A key component is the 'Drafted vs Sent' section, documenting AI draft vs. final sent message differences to capture refinement lessons. The completed template acts as a detailed style guide for AI assistants like Claude.

Quick Start & Requirements

• Primary action: Fork the repository.
• Core process: Analyze personal writing samples and fill out SKILL-TEMPLATE.md.
• Integration: Use the filled template as a Claude Skill or system prompt.
• Prerequisites: Access to an AI model (e.g., Claude), personal writing samples, Git.

Highlighted Details

• Focuses on capturing personal writing 'anti-patterns' and idiosyncrasies for authentic mimicry, not generic improvement.
• The 'Drafted vs Sent' section is critical for reverse-engineering the user's refinement process and voice.
• Framework built by studying years of hand-written content to reverse-engineer writing patterns.

Maintenance & Community

• Developed by Anh-Tho Chuong, CEO & Co-founder at Lago.
• Template originated from a workshop by @swyx and @MilksandMatcha.
• No specific community channels or roadmap links provided.

Licensing & Compatibility

• The repository's license is not explicitly stated in the README.
• Compatibility for commercial use or closed-source projects is undetermined.

Limitations & Caveats

The template provides structure but does not generate original ideas or the user's 'soul'; users must supply substantive content. Effectiveness depends heavily on user thoroughness in analyzing and documenting writing habits. Primary integration example is Claude, suggesting potential adaptation needs for other AI models.