friction-retrospective

To analyze delivery friction, this Skill scans specified delivery artifacts, extracts friction log entries, and tags them to identify systemic improvement opportunities. It parses delivery reports to detect recurring themes and high-frequency friction types.

Pattern detection for friction points works by scanning extracted delivery artifacts and identifying recurring themes based on signal and frequency. It flags high-frequency friction types and tags promotion candidates suitable for durable memory.

Yes, you can filter friction analysis by epic, date range, or friction type. The Skill scans specified artifact types using these optional filters to extract entries and generate a structured retrospective report.

The best way to generate a retrospective report after an epic is to activate this Skill to scan all related delivery reports. It identifies common issues like tool failures and suggests new conventions or rule clarifications.

Promotion candidates are identified during friction analysis by evaluating the signal and frequency of extracted friction entries. The Skill flags these entries as suitable for promotion to durable memory as conventions, decisions, or rules.

Delivery reports must contain `## Friction Log` entries for the Skill to parse them. The Skill extracts and tags these specific entries to detect recurring patterns and produce structured retrospective reports.