What problem does it solve? After a long design discussion, turning scattered conversation context into a formal, actionable specification is tedious and error-prone. This Skill converts what has already been discussed into a complete spec document and publishes it to the project issue tracker, without re-interviewing the user. ## Core Features & Use Cases - Conversation-to-Spec Synthesis: Generates a spec from existing conversation context and codebase understanding, with no additional user interview. - Test Seam Planning: Identifies the highest-level testing seams in the codebase and confirms them with the user before writing the spec. - Structured Spec Template: Produces a spec with problem statement, solution, extensive user stories, implementation decisions, testing decisions, and out-of-scope notes. - Issue Tracker Publishing: Publishes the finished spec to the project issue tracker and applies the ready-for-agent triage label. - Use Case: After discussing a new feature with the AI, invoke the skill to produce a ready-for-implementation spec posted directly to the issue tracker, respecting the project's domain glossary and ADRs. ## Quick Start Ask the AI to turn the current conversation into a spec and publish it to the project issue tracker using the to-spec skill.