Outcome Reflection

Overview

Closes the feedback loop between prediction and reality in agent task execution. After a task completes, this skill compares the predicted outcome (recorded at planning time) against the actual outcome (observed at completion), scores the accuracy on three dimensions, and persists the calibration record to memory for future use.

Over time, accumulated calibration data reveals systematic biases (e.g., consistent underestimation of implementation tasks) that planners can use to improve future predictions.

When to Use

Invoke immediately after any task that had a predicted outcome recorded:

• After HIGH/EPIC pipeline completion (planner predictions vs actual)
• After estimation tasks (token counts, time estimates, file counts)
• After architectural decision tasks (expected impact vs observed impact)
• After any task where the planner recorded explicit predictions in task metadata

Do not invoke for: