The scaffold for your multi-model, personalized Natural Language AI Harness (NLAH) .
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.
SANCTIS is a cognitive architecture that gives LLMs structured tools to organize their own reasoning, maintain long-horizon coherence, and reduce drift. It installs stable thinking patterns that emerge more powerfully the longer the model runs.
Object-Oriented Prompt Design (OOPD): オブジェクト指向型汎用プロンプト用語定義 (Object-Oriented Terminology for Prompt Design)
🎭 10 AI Personas ×ばつ 5 Lives Each = 50 Master Practitioners at Your Command. The ultimate system prompt framework for Codex, Claude, Kimi & more. Channel 50 distinct expert personalities—from Software Engineers to Master Negotiators—each with 5 lifetimes of mastery. Stop "hoping" AI performs. Start commanding excellence.
UPB Forge Framework: An enhanced HTML structure acting as a "Document-as-OS" to guide AI assistants (like Gemini 2.0 flash thinking - 2.5 Pro, ChatGPT 4.1) in complex, context-aware tasks using Prompt IDs, layered instructions, and expert personas for writing, analysis, coding, and game design conceptualization.
An 8-layer cognitive architecture for LLMs with global workspace, active inference, metacognition, recurrent depth, and self-amendment.
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.
A prompt-based AI project runtime for structured activation, roadmap-first execution, active-step artifacts and handoff continuity.
A structured and professional prompt engineering framework to get accurate, high-quality results from AI tools like ChatGPT, Claude, and Gemini.
🛠️ Optimize any raw prompt into a best-practice, production-ready prompt for Claude Opus 4.6 in seconds, enhancing clarity and effectiveness.
Production-grade framework for super-prompt engineering. Interactive CLI, cross-platform automation (PowerShell 5.1/7+, bash, zsh), Docker, GitHub Actions CI/CD, and model-optimized YAML templates. MIT License.
OpenClaw Agent Configuration Templates - Lightweight prompt engineering framework for AI agents
KERNEL Ω est une architecture cognitive unifiée pour LLMs. En fusionnant Graph of Thoughts, Self-Discover et Few-Shot Introspectif, il transforme les générateurs de texte linéaires en moteurs d'inférence réflexifs capables de douter, de s'auto-corriger et de cartographier leur propre pensée.
Turn a raw idea into a production-grade LLM prompt — versioned framework with 15 components, pass/fail constraints, and falsifiable success conditions.
A lightweight framework for writing clearer prompts when working with AI systems.
Context composition engine for AI systems. Builds structured prompt payloads from Markdown artifacts and renders them for OpenAI, Anthropic, and agent frameworks.
🐉 Sistema estructurado de prompting con modos especializados para interacciones avanzadas con LLMs - Framework sin código para usuarios creativos
Enjoy a smooth coding-quality chat experience with free AI chat tools - a prompt packer for web-based chat interfaces (ChatGPT, Claude, Deepseek, ... )
A build-time meta-prompting framework for tool-calling LLM agents. Bring a task; it compiles a prompt — in the right structural shape, sections ordered as deliberate operators, audited against a checklist, scored honestly, and shipped with a verifier. No dependencies, no build step.
Add a description, image, and links to the prompt-framework topic page so that developers can more easily learn about it.
To associate your repository with the prompt-framework topic, visit your repo's landing page and select "manage topics."