What problem does it solve?
It solves the challenge of coordinating multiple agents and turning a broad request into parallel, verifiable work that can be merged safely.
Core Features & Use Cases
- Managed multi-agent teamwork: defines a lane-based board with explicit owners, scopes, constraints, and expected outputs.
- Progress tracking with evidence: maintains lifecycle states (queued, in progress, blocked, review, verified, done) including blocker reasons and next actions.
- Reusable-skill compounding: identifies repeated successful patterns and proposes compact skill candidates with clear contracts and guardrails.
- Safe integration: requires reviewer/integrator passes and gatekeeping so outputs are not accepted without verification evidence.
Quick Start
Ask an AI to apply the multica workflow to break your goal into lanes with owners, define verification gates, and return a lane/task board plus integration-ready results.