Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.
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Updated
Feb 12, 2026 - Python
Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.
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 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.
Spec-first protocol for rule-ordered depth routing and bounded epistemic output in AI chat.
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.
Example dataset and prompt design of Korean Offensive language Machine Generation (K-OMG), published at IJCNLP-AACL 2023.
A framework for shaping identity-aware cognition in language models using behavioral prompt layering, recursive interpretive constraints, and modular cognitive modes.
Generates, improves upon and runs JavaScript games.
Prompt Engineering tips & tricks
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.
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)
Modular prompt architecture for AI alignment, reuse, and governance.
A comprehensive catalog of 250 prompts covering a wide range of domains and industries.
Designed specifically for content designers working with AI systems. Materials include practical examples, templates, checklists, code samples, and actionable frameworks
This is a collection of useful prompts that I've used and tested. Might be useful if you like to play with prompt engineering and design..
I am attempting to build a prompt engineering tool, run on Java (SpringBoot). Users can use this tool to test out their custom made prompts with various models.
Chromium extension that makes more or less humorous comments about webpage content.
Generates chains of words in which each word is related to its predecessor.
AI-driven cognitive assistance sandbox with EarthLight model prototypes. Language-first decision models for AI: Equilibrium (α), Backcasting (β), Semantic Grounding (γ).
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