distill▌

Persistent knowledge capture for insights, decisions, and procedures that span multiple agent sessions. \n \n Store decisions with rationale, debugging lessons, repeatable workflows, and durable preferences as searchable memories \n Distinguish between new insights (use add ) and refinements to existing memories (use update ) to avoid duplication \n Design memories as atomic, standalone entries with clear titles that remain useful across future sessions \n Ideal for preserving incident learnings

Scan installed skills, extract cross-cutting principles that appear in multiple skills, and distill them into rules — appending to existing rule files, revising outdated content, or creating new rule files.

Strip designs to their essence by removing unnecessary complexity and revealing core functionality. \n \n Analyzes complexity sources across information architecture, visual design, layout, interactions, and content to identify what can be removed or hidden \n Applies ruthless simplification strategies including progressive disclosure, element consolidation, color/typography reduction, and flattened component hierarchies \n Requires the frontend-design skill and its Context Gathering Protocol as