What problem does it solve? Designing a well-structured AI agent skill requires balancing persona design, capability prompts, memory architecture, and quality standards, which is difficult to do consistently by hand. This Skill guides the creation, editing, and quality analysis of agent skills so each one ships lean, outcome-driven, and coherent. ## Core Features & Use Cases - Three agent archetypes: Produces stateless agents (single SKILL.md), memory agents (lean bootloader plus a persistent sanctum), and autonomous agents (memory plus scheduled PULSE wake behavior), with the type emerging from discovery questions rather than an upfront menu. - Create, Edit, and Analyze intents: Routes to a build loop for new agents, surgical edit guidance that preserves existing design, or a quality-analysis report based on shared prompt-quality standards. - Template-driven emission: Generates SKILL.md, customize.toml, sanctum templates (PERSONA, CREED, BOND, MEMORY, CAPABILITIES, PULSE), First Breath scripts, and wake/init scripts from a consistent asset library. - Use Case: Ask to create a personal writing coach agent; the builder discovers it needs memory, drafts the persona and capabilities, emits the bootloader SKILL.md plus sanctum templates, and hands off with lint results and a decision memlog. ## Quick Start Ask the assistant to create a new agent that acts as a personal coding coach with memory between sessions, and answer the discovery questions it asks.
