Analyze completed Linear cycles to generate retrospective insights on velocity and scope.
npx skills add https://github.com/joa23/linear-cli --skill retro-joa23
Please help me install this Agent Skill. Skill: retro Source: https://github.com/joa23/linear-cli/tree/main/internal/skills/retro Command: npx skills add https://github.com/joa23/linear-cli --skill retro-joa23
Analyze completed Linear cycles for retrospectives to identify velocity trends, scope creep, and patterns to improve future planning.
Run a retrospective analysis on the most recent cycles to generate a set of actionable insights.
High-intent search queries and answers about installing and using this skill.
To generate retrospective insights from Linear cycles, the Skill analyzes completed sprint data to identify velocity trends, scope creep, and process bottlenecks. It outputs actionable recommendations for future planning meetings.
Tracking sprint velocity trends and scope changes is done by analyzing historical cycle data across sprints. The Skill examines completed cycles to detect patterns in scope creep and generate reports on team performance over time.
Yes, cycle analysis can identify blockers by examining completed sprint cycles for bottlenecks and pattern-based delays. The Skill processes historical cycle data to pinpoint recurring issues affecting team velocity.
Running a retrospective analysis on recent cycles requires access to your completed Linear cycle data. The Skill processes this data to produce velocity charts, pattern reports, and recommended action items for planning improvements.
Yes, you need access to completed Linear cycle data to detect scope creep effectively. The Skill analyzes historical cycle information to identify scope changes and pattern-based improvements for future sprint planning.
Analyzing sprint bottlenecks yields actionable insights such as velocity trend reports, scope creep patterns, and recommended action items. These outputs help improve future planning meetings and overall team performance.
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