Automatic Prompt Optimization Framework
python nlp ai prompts llm prompt-engineering prompting promptengineering autoprompt genai meta-prompting meta-prompt structured-prompts autoprompting
-
Updated
Jun 12, 2026 - Python
#
meta-prompt
Here are 16 public repositories matching this topic...
Language: All
Filter by language
Sort: Most stars
Sort options
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
May 28, 2026
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
Semantic Logic System v1.0 — A system that use language to construct and model LLMs.
-
Updated
Apr 26, 2025
THE META PROMPT 是一个专业化的提示词仓库,提供经过实战验证的结构化元提示词模板,旨在将通用大语言模型转化为具有增强可靠性和精确度的领域专用推理智能体。与传统提示词库不同,本项目专注于元级别的指令框架,支持系统化任务分解、基于角色的推理以及自我改进的智能体架构。
-
Updated
Feb 7, 2026
A meta-prompt that refactors any LLM prompt into a clearer, more structured, and higher-performing version using proven prompt engineering techniques.
prompt few-shot-learning ai-tools prompt-tuning llm prompt-engineering chain-of-thought generative-ai prompt-design llm-prompting prompt-template prompt-optimization prompt-refinement meta-prompt
-
Updated
May 2, 2026
Turn any raw prompt into a production-ready, XML-structured prompt optimized for Claude Opus 4.8 - 11 rules, complexity-based routing, hard prompt: trigger.
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 meta-prompting claude-opus system-prompts meta-prompt xml-prompt claude-opus-4-8
-
Updated
May 28, 2026
Open-source skills — shareable & installable
-
Updated
Apr 23, 2026 - Python
🛠️ Optimize any raw prompt into a best-practice, production-ready prompt for Claude Opus 4.6 in seconds, enhancing clarity and effectiveness.
developer-tools ai-tools llm chain-of-thought generative-ai ai-prompts anthropic prompt-design few-shot-prompting prompt-framework prompt-optimization ai-productivity claude-opus system-prompts claude-code meta-prompt
-
Updated
Jun 14, 2026
Production-grade prompt generator combining 5 Circles validation + 18 Hacks optimization + optional Council mode (5 advisors, peer review, chairman synthesis). Universal LLM support: ChatGPT, Claude, Gemini, Qwen, DeepSeek. Domain-aware validation with compliance checks. 11 professional examples included. Karpathy Council methodology. MIT license.
security finance devops machine-learning ai optimization gemini compliance production-ready claude validation-framework llm prompt-engineering chatgpt qwen multi-llm deepseek meta-prompt karpathy-council universal-prompt
-
Updated
May 14, 2026
Meta Rules for prompt engineering — A persistent cognitive architecture for LLM prompt design — engineering KV cache geometry instead of writing instructions.
attention-mechanism cognitive-architecture claude kv-cache llm prompt-engineering anthropic ai-reasoning system-prompt meta-prompt
-
Updated
May 30, 2026
LLM code generation benchmark — Claude vs Gemini vs DeepSeek vs Grok on a physics simulation task. Compares prompting strategies and artifact modes.
python benchmark gemini code-generation physics-simulation grok claude ai-evaluation prompting deepseek llm-comparison meta-prompt llm-benchmark
-
Updated
Mar 18, 2026 - Python
EGOS Rules — public mirror of docs/opus-mode/ from enioxt/egos monorepo. Portable meta-prompt for any LLM (Claude/GPT/Gemini) to load the OPUS MODE operational spec.
-
Updated
Jun 11, 2026 - Shell
An engineering meta-prompt framework, auto generate robust Prompt & PRD, full models compatible. 工程化元指令框架,自动生成高可用指令与项目 PRD,全大模型兼容。
copilot few-shot ai-assistant llm prompt-engineering chain-of-thought chatgpt-prompts prompt-template prompt-framework ai-prompt prompt-optimization deepseek gpt-prompts meta-prompt claude-prompts anti-hallucination
-
Updated
Jun 11, 2026
🚀 Optimize your prompts for AI systems easily and boost performance with intuitive tools and features designed for better results.
python mongodb optimization genetic-algorithm prompt prompt-toolkit nlg evolutionary-algorithm prompts evolution-strategies prompt-learning parameter-efficient-learning large-language-models prompt-engineering promptengineering autoprompt llamacpp prompt-optimization meta-prompt
-
Updated
Jun 14, 2026 - TypeScript
Improve this page
Add a description, image, and links to the meta-prompt topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the meta-prompt topic, visit your repo's landing page and select "manage topics."