Awesome GitHub RepositoriesDevelopment and Engineering

gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases. The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repos

This project is an AI frontend code generator and design system framework designed to convert visual references and images into functional frontend source code. It provides a system for translating image layouts and styling into code while ensuring layout and styling accuracy. The framework includes a prompt engineering library and portable style instructions that enforce the generation of complete, production-ready source code, preventing the use of placeholders or unfinished segments. It utilizes a multi-modal feedback loop and visual-to-code mapping to maintain consistency between high-fid

This project is a library of prompt-based skill definitions and functional extensions for AI assistants. It provides a system for automating product management tasks and strategic workflows by integrating specialized capabilities into coding agents and command line interfaces. The toolset utilizes a collection of standardized templates and guided processes to execute product management frameworks. These include tools for product discovery, market analysis, and business viability modeling, allowing users to chain analytical skills into end-to-end automated processes. The capability surface co

This project is a comprehensive framework for the orchestration, evaluation, and context management of large language model agents. It provides a set of architectural patterns and standards for designing agent interactions, integrating external tools, and establishing memory architectures to persist knowledge across sessions. The system focuses on optimizing the limited memory of language models through token-aware context compression and filesystem-based context offloading. It incorporates secure execution environments using sandboxed virtual machines and isolated containers to safely run ba

Dieses Projekt ist eine Sammlung standardisierter Wissensdatenbanken und Kompetenzmodelle, die professionelle Methoden für Produktmanagement-Praktiker und KI-Agenten definieren. Es bietet ein strukturiertes Framework professioneller Fähigkeiten und Kenntnisse, um eine konsistente Ausgabequalität über Produktentdeckung, Strategie und Stakeholder-Ausrichtung hinweg sicherzustellen. Das Repository konzentriert sich auf spezialisierte Frameworks für das Produktmanagement großer Sprachmodelle, einschließlich Richtlinien zur Bewertung der KI-Bereitschaft, Kontext-Engineering und der Orchestrierung von Multi-Agenten-Workflows. Es nutzt Markdown-basierte Wissensstrukturierung, um KI-Agenten bei der Erstellung professioneller Ergebnisse und strategischer Analysen anstelle generischer Ausgaben zu unterstützen. Das Projekt deckt eine breite Palette an Produktmanagement-Funktionen ab, einschließlich der Analyse von Geschäftskennzahlen für die operative Gesundheit, Kundenerkundung und Hypothesenvalidierung sowie strategische Roadmap-Planung unter Verwendung von Priorisierungsmodellen. Es enthält zudem Frameworks für das Verfassen von Produktanforderungsdokumenten und User Stories, Stakeholder-Einfluss-Mapping sowie Executive Coaching für Führungswechsel.

Skills, custom agents, AGENTS.md templates, and MCP configurations for AI coding agents working with Azure SDKs and Microsoft AI Foundry.

Skills for AI-assisted development.

Agent Skills used by the Sentry team for development.

66 plug-and-play, best-practice, product management skills for AI agents: 30 Triple Diamond phase 8 foundation 10 utility 15 tool (Foundation Sprint Design Sprint)... Plus 4 sub-agents, templates, workflows, samples, learning resources & guides, CI-enforced contracts. Apache 2.0.

AI-powered code review for 35+ coding agents, powered by CodeRabbit. Detect bugs, security issues, and quality risks before you merge.

The missing memory layer for AI-assisted development

Hand-drawn diagram skill for Claude Code and Codex. Generates monochrome architecture, workflow, and UX blueprint diagrams as PNGs.

Claude Code skill for handling long-context tasks through recursive decomposition