lighttrack

Session-after-session product perfection loop for LightTrack. The strongest available model (Fable) directs — it walks context-map.json context-by-context, proposes 5 challenged, high-value directions per context (features, API/UX elevations, significant optimizations), gates them with the user until 10 are accepted, then orchestrates one Opus builder subagent per context in isolated worktrees while making every review/merge decision itself. All state lives in a linked Obsidian vault so any future session resumes the loop exactly where the last one stopped. Invoke with `/perfect [init|propose|build|status|reflect] [context-name]`.

Guided, chronological onboarding to install, configure, and DEPLOY LightTrack onto the user's preferred stack. Walks the user through picking a database (SQLite/DuckDB/libSQL local; Postgres / Neon / Supabase / Cloud SQL / RDS / Azure DB; Firestore; BigQuery analytical) and a deploy target (local Docker Compose; Cloud Run / App Runner / Container Apps; Kubernetes via Helm), collects the required credentials securely, then performs the integration and deployment on the user's behalf and verifies it. Use when the user wants to set up, install, configure, onboard, or deploy LightTrack — e.g. "set up LightTrack", "deploy to AWS/GCP/Azure", "run it on Postgres", "get me started".