DocSpecSpark - Technical Summary DocSpecSpark is an AI-assisted documentation automation framework that provides a structured, repeatable workflow for creating, reviewing, and publishing documentation systems through markdown-based prompts and lightweight CLI tooling. The project emphasizes a separation-of-concerns architecture, dividing framework-managed assets (.docspark/) from user-owned artifacts (.documentation/), with intelligent prompt and script resolution ordering that allows customization at multiple levels. Built in Python with dependencies on rich (terminal formatting) and typer (CLI framework), it offers 21+ slash commands covering the full documentation lifecycle—from constitution creation and specification through implementation and publication—with specialized workflows for PR reviews, site audits, and repository storytelling. The framework is designed to work seamlessly with popular AI coding assistants (GitHub Copilot, Claude, Cursor) through agent-specific bootstrap prompts, eliminating the need for manual setup while remaining optional via a CLI interface for programmatic installation. What distinguishes DocSpecSpark is its focus on prompts as the primary product rather than code, treating AI assistants as the execution engine for structured documentation governance, making it particularly valuable for teams seeking to establish consistent documentation practices without heavy framework overhead. The target audience includes documentation-centric teams, technical architects, and AI assistant users seeking governance mechanisms for large-scale documentation projects, with examples and templates provided to demonstrate post-installation workflows.