#prompt-engineering

Every claim machine-checked, including "zero runtime daemon" — governed skills, rules and replayable state. One contract, every host agent.

High-performance tool for managing LLM conversations and workflows as DAGs.

🎭 267 个即插即用的 AI 专家角色 — 支持 Hermes Agent/Claude Code/Cursor/Copilot 等 18 种工具，覆盖工程/设计/营销/金融等 20 个部门。含 52 个中国市场原创智能体（小红书/抖音/微信/飞书/钉钉等）。搭配编排器 agency-orchestrator，一句话即可让多位专家按 DAG 自动协作。

Local context engine for AI coding agents. Routes tasks to relevant files, tests, rules, and skills, supports prompt caching, and builds compact context packs for Claude Code, Codex, Cursor, MCP, and more.

The official CLI for the PromptVM platform

Скилл для ИИ-агентов: убирает следы машинной генерации из русского текста — 37 паттернов и 38 regex-маркеров | Russian AI-writing humanizer skill

A Laravel package for versioned AI prompt management with variable interpolation, performance tracking & A/B testing.

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).

Stop writing prompts from scratch — a searchable prompt library for ChatGPT, Claude, Gemini and Cursor · Русский 한국어 العربية हिन्दी ไทย ｜ 别再从头写提示词：现成的拿来就用，好用的收进自己的库

Structured, spec-driven development workflow for AI coding agents.

LLM prompt language based on Jinja. Banks provides tools and functions to build prompts text and chat messages from generic blueprints. It allows attaching metadata to prompts to ease their management, and versioning is first-class citizen. Banks provides ways to store prompts on disk along with their metadata.

👩‍💻✍️ Prompt orchestration with Vue/React components. Compatible on any Node.js/browser runtime. No more context rendering and templating

A TypeScript CLI that assembles AI-powered prompts at runtime to guide you from "I have an idea" to working software. Scaffold walks you through 54 structured pipeline steps — organized into 15 phases — and Codex, Claude Code, or Gemini handles the research, planning, and implementation for you.

Laravel-native client for Model Context Protocol (MCP) servers. Built by Redberry (Diamond-tier Laravel partner). Used by LarAgent and other frameworks to enable AI agent functionality.

Your prompts need tests too. Run prompts against real datasets, score outputs with LLM judges, version everything, and compare runs to see what got better.

八字、紫微、星盘、六爻、梅花、奇门、大六壬、小六壬、塔罗、雷诺曼、灵签、择日一站式排盘，输出结构化提示词与数据。提供公开 API、MCP Server 与 skill。

该仓库未发布描述。

Prompt refinement and workflow orchestration for Codex: turn vague ideas into scoped goals, reviewable SPECs, validation evidence, and PR-ready handoffs.