#Prompt-optimization
Showing 38 of 38 repositories tagged #prompt-optimization, ranked by stars
An AI prompt optimizer for writing better prompts and getting better AI results.
End-to-end Generative Optimization for AI Agents
Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.
Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.
A CLI tool for logging and analyzing Claude Code and Cursor ai-driven coding session.
A very fast, very minimal prompt optimizer
Claude Code skill that transforms vague prompts into structured, expert-level prompts using 7 research-backed frameworks (CO-STAR, RISEN, RISE, TIDD-EC, RTF, CoT, CoD)
可同时输入多个初版提示词，开启多轮自动优化，连续得到高分后得到最终结果。
Best Prompt Engineering Tools for 2026 AI Workflow Optimization
Top 10 Claude Prompt Optimization Frameworks 2026
Finish-First Autonomous Agent Loop for Claude Opus 4.7 – 2026 Edition
A unified, modular framework for prompt optimization
MCP server for AI image generation and editing with automatic prompt optimization and quality presets. Powered by Gemini (Nano Banana 2 & Pro), with optional OpenAI GPT Image support.
Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically
Open-source, bilingual AI video-prompt skill — rewrite ideas into model-ready text-to-video prompts. A portable Agent Skill (Claude Code, Codex, OpenClaw, Hermes); generate via Atlas Cloud — Seedance 2.0, Kling, Veo, Hailuo, Wan, Vidu, Gemini Omni, Grok Imagine.
AI agent that turns your rough ideas into perfect image generation prompts. 7-component formula, 70+ creative techniques, 9 domain modes.
SCOPE: Self-evolving Context Optimization via Prompt Evolution - A framework for automatic prompt optimization
Turn Claude Code into its own Meta-Harness — a skill that evolves the scaffolding around a fixed model (memory, retrieval, context, prompts) via a native propose→score→Pareto loop. Native reimplementation of Meta-Harness (Lee et al. 2026).
State-of-the-art prompting techniques implementation with DSpy - Manager-style prompts, role personas, meta-prompting, and more
Claude Code skill that forces AI to understand before executing. Three disciplines: cognition check, requirement understanding, method search.
CLI text optimizer built on GEPA. Uses Agentic Coding CLI's as mutator and observer -- no api keys required
AI-powered prompt optimization hook for Claude Code. Transforms simple prompts into comprehensive, structured instructions using Claude Opus 4.6's advanced reasoning capabilities.
🚀 Lightweight Python library for building production LLM applications with smart context management and automatic token optimization. Save 10-20% on API costs while fitting RAG docs, chat history, and prompts into your token budget.
local-first MCP discovery runtime for agents — search before invoke, reduce prompt bloat, and route to local MCP tools
PromptCraft is a prompt perturbation toolkit from the character, word, and sentence levels for prompt robustness analysis. PyPI Package: pypi.org/project/promptcraft
Enterprise-grade prompt engineering toolkit: Distilled best practices, production-ready meta-prompts, and a professional AI agent that transforms simple requirements into battle-tested prompts.
Advanced MCP server providing cutting-edge prompt optimization tools with research-backed strategies
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.
Declarative Self Improving Elixir - DSPy Orchestration in Elixir
Expert-level prompt templates for modern software development using AI pair programming.
This repository serves as a central hub for discovering tools and services focused on automated prompt engineering. Whether you're looking to optimize your prompts for generative AI models or enhance the capabilities of your agents, you'll find a wide range of resources here.
We introduce CAPO, a novel prompt optimization algorithm that integrates racing and multi-objective optimization for cost-efficiency and leverages few-shot examples and task descriptions, outperforming SOTA discrete prompt optimization methods.
Verdict-first output for AI coding agents. Tiny prompt + installer for Claude Code, Codex, Gemini, Cursor, opencode, and 30+ agents.
Audits Claude-directing artifacts (CLAUDE.md, SKILL.md, subagent, hook, MCP, prompts, api_config) against 189 cited Anthropic rules across 11 dimensions. Cite or stay silent. Voice drift trumps score.
一个基于 Project Context 进行 Prompt优化 的 Claude Code SKILL，并配置有界面进行迭代优化；Advanced Claude Code skill for systematic prompt engineering. Optimizes prompts using project context, adversarial testing, and iterative evaluation. Built with Wails & Go.
Measure prompt and skill improvements with blind A/B comparison.
🚀 Interactive JSONL editor for Claude Code conversation files with real-time file system synchronization. Efficient prompt engineering through conversation editing.
Prompt optimizer for Claude Fable 5, built as a claude.ai Project — 43 source-backed rules, complexity routing, and API parameter recommendations, grounded exclusively in official Anthropic documentation.