What problem does it solve?
The retro skill prevents wasted cycles by turning experience from an iteration, full session, or pause point into durable, codifiable learnings—while avoiding noisy or one-off changes that would bias future agent behavior.
Core Features & Use Cases
- Quality-gated retros: Identifies only recurring, codifiable, and high-leverage findings, and explicitly produces no actionable output when nothing clears the bar.
- Scoped analysis modes: Supports
--scope=iteration (loop-driver iteration), --scope=session (full conversation), and --scope=pause (self-invoked when waiting on async work).
- Action classification & execution: Selects an action item type (memory entries, skill edits, scripts, constellation issues) and routes autonomous versus approval-needed items via clear autonomy zones.
Quick Start
Use retro to reflect on this iteration by running: /retro --scope=iteration