Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.

Structured thinking framework for AI agents, coding assistants, and developers to turn raw logs, events, and scattered data into decision-ready communication.

McKinsey-style enterprise AI skills and structured problem-solving workflows for Antigravity.

📋 Structured interview preparation system inspired by real-world consulting workflows. Organizes behavioral, case-study, and domain-specific questions into a grid-based framework to simulate multi-stage interviews and improve structured thinking.

A self-contained, AI-orchestrated decision-making and problem-solving framework. Point any AI assistant at the folder + tell it to read AI-BOOTSTRAP.md.

An AI prompt decomposition pipeline that breaks complex prompts into atomic dependency graphs. Triage, decompose, resolve, and synthesize for hallucination-free 🧠 LLM outputs.