Prompt 工程工具排行

Manage AI prompts in your Laravel application in Blade style.

A Claude Code skill that turns vague requirements into production-grade specs — by interviewing you like a senior architect would.

Claude skill for generating and beautifying resumes — 11 print-ready HTML templates, structured data pipeline, three entry flows (beautify / LinkedIn import / chat interview).

End-to-end pipeline for seeing how LLMs actually process your prompts. Capture attention across every layer, render heatmaps and cooking curves, compare variants with evidence — not vibes.

Prompt Crafting with JSX

A reasoning skill for AI agents to improve complex judgment, premise auditing, counterargument pressure, and verifiable conclusions.

A Free, Open Source MCP server for dynamic custom persona management with public a GitHub collection of personas, skills, templates, and other elements for AI models.

An atelier for your Agent: spec-driven workflows, deep thinking, and code quality.

Tree prompting: easy-to-use scikit-learn interface for improved prompting.

Persona Control Language (PCL)

LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation

AI skill for rewriting machine-generated text to sound human-written across 9 languages - 5-stage pipeline: cleanup → specificity → tone → rhythm → proofread.

Build & prompt Qwen3.x agents in their native dialect — extracted from qwen-code & Qwen-Agent

Build an AI communication analyzer from scratch to understand how AI products actually work. Learn prompt engineering, reasoning pipelines, and local LLM integration using Node.js - no frameworks, no abstractions, just fundamentals

中文网文写作工具包 · Chinese web-novel writing toolkit (23 skills) — a Claude Code plugin, also works in ChatGPT / DeepSeek / Gemini

27 Skills that diagnose, build, and optimize every architectural layer of your Claude environment

AI agent orchestration kit for Windows, Linux/MacOS with Codex skills, hooks, routing rules and profiles for Claude, OpenCode, Cursor, Gemini and Windsurf.

Interview questions and prep for AI Engineer, LLM Engineer, and Applied AI roles. Built for software engineers breaking into AI and ML practitioners levelling up: company-specific question sets, role-based study maps, worked answers, and from-scratch coding challenges.

🚀 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.

Open-source Codex plugin for Sol-governed multi-agent coding, bounded AI code review, model routing, and LLM cost optimization