What problem does it solve? Decisions, lessons, and ideas from AI-assisted discussions evaporate when the conversation ends, leaving no traceable record of why choices were made. This Skill routes each piece of a discussion into the right place in a markdown knowledge base so the reasoning behind a project stays reconstructable. ## Core Features & Use Cases - Perspective-based dispatch: Splits input into normative (principles), situational (vision), and existential (experience) knowledge, routing each piece to its proper file rather than dumping everything in one place. - Maturity gating: Sends undecided ideas to a draft area and requires human confirmation before writing into long-term memory, keeping captured content separate from committed knowledge. - Procedural capture: Detects repeated operations and consolidates them into reusable skills stored in a knowledge/skills directory, then projects them via symlinks into tool skill folders. - Use Case: After a design discussion where the team rejected option A, chose option B, and learned a testing pitfall, run this Skill to tombstone the rejection in history, park the design in draft, and record the lesson in experience. ## Quick Start Ask the AI to capture the current discussion into the knowie knowledge base, splitting it by perspective and maturity.
