asgeirtj/system_prompts_leaks
This repository provides a collection of extracted system prompts from various large language models (LLMs) including Anthropic's Claude, OpenAI's ChatGPT, Google's Gemini, and xAI's Grok, updated ...
Awesome AI Agents › Prompt Libraries
NeoLabHQ/context-engineering-kit
Context Engineering Kit is a hand-crafted collection of advanced context-engineering techniques and patterns packaged as installable plugins for AI coding agents including Claude Code, OpenCode, Cursor, Antigravity, and others. Its goal is to improve agent result quality and predictability while keeping a minimal token footprint. The plugins derive from prompts the maintainers use daily, supplemented by techniques drawn from benchmarked papers and other projects, and the skills follow the agentskills.io specification. The project emphasizes granular, per-plugin installation so each plugin loads only its own agents, commands, and skills without overlap, and it favors command-oriented skills backed by sub-agents over broad information skills to avoid polluting the context window. Notable plugins include Spec-Driven Development, which was rewritten to embed domain-driven design, SOLID, and functional-programming rules in the developer agent and adds a dedicated code-reviewer agent applying waste analysis to reduce complexity and duplication; a distilled Subagent-Driven Development variant that uses meta-judge and judge sub-agents to generate specifications in parallel with implementation; a DDD plugin supplying Clean Architecture and pattern examples as rules; a Tech Stack plugin that injects language best practices when the agent reads or writes code; and a Reflexion plugin. Installation is handled through the Claude Code plugin marketplace, Gemini and Antigravity CLI extensions, or the npx skills and openskills commands for other providers. It also supports CI integration through a GitHub Action. The kit targets developers who want proven, standards-based prompting patterns applied consistently across multiple agent tools.
https://github.com/NeoLabHQ/context-engineering-kit
Also in Prompt Libraries
HKUDS/RAG-Anything
RAG-Anything is a next-generation all-in-one multimodal Retrieval-Augmented Generation system that processes and queries diverse document content including text, images, tables, and equations within a unified framework.
dzhng/deep-research
Open Deep Research is an AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models to generate comprehensive markdown reports.
dottxt-ai/outlines
Outlines is an open-source tool that enables structured text generation with large language models, ensuring predictable and schema-compliant outputs for various applications.
microsoft/RD-Agent
RD-Agent is an open-source R&D automation tool by Microsoft designed to automate and enhance industrial research and development processes focused on data and models using AI.
arcee-ai/mergekit
mergekit is a toolkit for efficiently merging pre-trained large language models using various algorithms, supporting CPU and GPU execution, and enabling creation of versatile merged models with maintained inference costs.
icip-cas/PPTAgent
PPTAgent is an innovative system that automatically generates and evaluates high-quality presentations from documents using a two-phase approach and a comprehensive multi-dimensional evaluation framework.
serenakeyitan/awesome-notebookLM-prompts
A curated collection of NotebookLM and Kael.im slide prompts designed to generate presentation-ready decks from various content types.