What problem does it solve? Breaking an approved feature into well-scoped Epics and Sprints is slow and inconsistent when done manually. This Skill automates the AI-DLC Mob Elaboration ritual, proposing Epic boundaries, Sprint groupings, and team-size recommendations with human approval gates before anything is published. ## Core Features & Use Cases - Parallel Theme Analysis: Spawns subagents per theme cluster to propose Epic boundaries, indicative work items, dependencies, and risks, then consolidates results. - Multi-Backend Publishing: Creates Epic documentation in GitLab (markdown files with MR review), Linear (native Projects), or Confluence (pages with Jira integration). - Ceremony Scaling: Adjusts depth by gear — Quick skips decomposition, Standard keeps hierarchy without the ritual, Deep runs the full four-phase Mob Elaboration. - Use Case: After a feature intent is approved, run the Skill to decompose an authentication feature into Epics like "Identity Provider Integration" and "Session Management", grouped into Sprints with a team-size recommendation, then publish to GitLab after explicit approval. ## Quick Start Ask the assistant to decompose the approved authentication feature into Epics and Sprint groupings using the aidlc-elaborate skill.
