council-retro

What problem does it solve?

AI council channels generate valuable collaboration data during their lifecycle, but without structured retrospectives, lessons about accuracy, process alignment, and team dynamics are lost when channels wind down. This Skill solves that by enforcing a blameless, no-PII reflection ritual that converts subjective experiences into quantitative learning signals correlated with objective outcomes.

Core Features & Use Cases

• Five-Axis Scoring: Captures 1-5 ratings on accuracy, completeness, TSG alignment, developer experience, and confidence to establish baseline calibration data.
• Blameless Culture Enforcement: Prompts and storage rules prevent individual attribution and PII exposure, creating safety for honest low-score reporting.
• Outcome Correlation Engine: Tags each retro with a run ID so future council verdicts and PR quality metrics can be matched against self-assessments to identify miscalibration patterns.

Quick Start

Use the council-retro skill to capture a learning signal for the channel named es-training.