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chonghin33 / lcm-1.13-whitepaper

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This project contains the original white paper for Language Construct Modeling (LCM) v1.13, authored by Vincent Shing Hin Chong. It introduces a novel framework for prompt-layered semantic control in large language models (LLMs), built upon the Meta Prompt Layering (MPL) structure. LCM formalizes a modular system of prompt orchestration, enabling

artificial-intelligence llms llm-framework language-construct-modeling meta-prompt modular-prompting
  • Updated Jul 23, 2025

CheswickDEV / claude-opus-4.6-prompt-optimizer

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A meta-prompting system that transforms raw prompts into production-ready, XML-structured prompts optimized for Claude Opus 4.6. 10 codified rules, 10-component framework, complexity-based routing — based on Anthropic's official best practices.

claude ai-tools llm prompt-engineering chain-of-thought generative-ai ai-prompts anthropic prompt-design few-shot-prompting claude-ai prompt-framework prompt-optimization ai-productivity claude-opus system-prompts meta-prompt xml-prompt claude-opus-4-6
  • Updated Feb 5, 2026

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