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marcusgoll

Turn product ideas into production launches with Spec-Driven Development. Repeatable Claude Code workflows with quality gates, token budgets, and auditable artifacts.

yceachan

A modern, AI-assisted playbook for mastering Linux Kernel Driver development on NXP i.MX6ULL.

mattgierhart

PRD-driven Context Engineering: A systematic approach to building AI-powered products using progressive documentation and context-aware development workflows

mjunaidca

Book + RAG ChatAgent + SSO + Compunding RI Intelligence built in 2 days. Robolearn is what AI-driven development with Spec-Driven methodology and Reusable Intelligence makes possible.

yarang

moai-foundation-core is a set of core principles and architectural patterns that power MoAI-ADK's AI-driven development workflow, emphasizing quality, efficiency, and scalability.

Jefest9988

Comprehensive AI agents, skills and rules toolkit for 1C:Enterprise development in Cursor IDE

frizynn

A high-performance implementation of the Ralph autonomous loop. Orchestrates multi-agent execution across Claude Code and Cursor, utilizing Git worktree isolation to scale PRD-driven development.

khushparag

Intelligent multi-agent system for personalized coding education. Features 7 AI agents, adaptive learning, secure code execution, gamification, and social learning. Built with FastAPI, React, PostgreSQL, and Docker. 356 tests, 90%+ coverage. Spec-driven development with Kiro CLI.

common-member

Implement-feature is a skill that follows the Spec Driven Development workflow, helping developers to understand the codebase and implement new features by reading relevant issues, models, specs, and routes.

ThibautBaissac

A collection of specialized AI agents for Rails 8.1 development, for AI driven-development and follow TDD best practices.

SensorsIot

esp32-workbench-ota is a skill that facilitates OTA firmware updates for ESP32 devices, using an HTTP endpoint and WiFi connectivity

Bebang-Enterprise-Inc

local-frappe is a development tool that allows developers to test and manage Frappe applications locally, reducing production deployment time from 15-20 minutes to mere seconds.