An AI image analysis and structured-prompting studio.
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Updated
Jan 29, 2026 - TypeScript
An AI image analysis and structured-prompting studio.
(: SMILE! The positive prompt language for structured prompt engineering — used for complex prompts, multi-turn pipelines, agentic engineering. Modular & maintainable prompts for powerful Large Language Model responses.
A model-agnostic layered cognitive framework for LLMs. Improves coherence, emotional clarity, structural reasoning, and creative depth across GPT, Claude, Gemini, Grok, Mistral, and others—while reducing token waste and internal contradiction.
Structured Prompting Enables More Robust Evaluation of Language Models
Vine makes accessing AI simpler and more efficient
LeerPlan: AI-Powered Academic Planner LeerPlan streamlines academic scheduling by leveraging Large Language Models. Users upload course syllabuses as PDFs, and LeerPlan automatically generates comprehensive course outlines.
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 modular prompt architecture for LLM behavior control. YAML-based framework for persona consistency, memory management, and attention guidance across extended AI conversations.
🪱 An opinionated, structured vibe-coding starter kit for Claude Code & GitHub Copilot. AI agents, shared context, slash commands, prompt engineering, and local-first issue tracking. Stop blind prompting. Start building with structure.
Enter the chamber. Face the gators. Earn the truth.
LLM-powered tool for structured information extraction with digestible chunks and guided follow-ups to minimize user effort.
🧠 Enhance Claude Code's capabilities with persistent working memory for better context and multi-instance coordination in large codebases.
🧬 Build consistent AI personalities with the Kotodama Framework, ensuring engaging, reliable interactions throughout your conversations.
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