Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.

Top 10 Claude Prompt Optimization Frameworks 2026

Best Prompt Engineering Tools for 2026 AI Workflow Optimization

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.

Universal Prompt Generator — prompt-engineering system for text-to-image models. Spectrum of 1–5 calibrated prompts per theme, with safety/drift/cliche enforcement built into the pipeline.

SoftPrompt-IR is a low-level symbolic annotation layer for LLM prompts, making intent strength, direction, and priority explicit. It is not a DSL or framework, but a minimal, composable way to reduce ambiguity, improve safety, and structure prompts.

Timeless principles and best practices for working with language models - tooling-agnostic, future-proof, and clear.

A prompt that makes an LLM self-audit its recommendation bias toward a specific thing / 让大模型自检对某事物推荐倾向的提示词

PromptWeaver: RAG Edition helps design effective prompts for Traditional, Hybrid, and Agentic RAG systems. It offers templates, system prompts, and best practices to improve accuracy, context use, and LLM reasoning.

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.

Spec-first protocol for rule-ordered depth routing and bounded epistemic output in AI chat.

Редакторский инструмент для естественного делового письма на русском без нейрояза, канцелярита, карьерных штампов и выдуманных деталей.

Live-updating tracker of prompt engineering tools, libraries, and techniques — refreshed every 15 mi

A framework for shaping identity-aware cognition in language models using behavioral prompt layering, recursive interpretive constraints, and modular cognitive modes.

A meta-prompt that refactors any LLM prompt into a clearer, more structured, and higher-performing version using proven prompt engineering techniques.

Example dataset and prompt design of Korean Offensive language Machine Generation (K-OMG), published at IJCNLP-AACL 2023.

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)

A practical kit for creating, improving, and generalizing system instructions for AI agents, with extra image and video prompting guides.

🛠️ Optimize any raw prompt into a best-practice, production-ready prompt for Claude Opus 4.6 in seconds, enhancing clarity and effectiveness.

This is the Deno 2 implementation of all tasks I did during AI Devs 3 course. It's integrated with Anthropic and OpenAI APIs here. Many different tools regarding LLMs are used here.