scrum-master-agent

Sprint data consolidation normalizes inputs from multiple tools into a unified analytics model. This Skill ingests data from Linear, Jira, GitHub Projects, and Azure DevOps, applies consistent schema mapping, and produces standardized sprint metrics across all sources so you analyze velocity, burndown, and capacity from one view.

Velocity forecasting and capacity planning are core sprint analytics functions. This Skill computes historical velocity trends, burndown patterns, and team capacity to generate capacity-aware sprint forecasts and identify planning risks before sprints begin.

Multi-factor backlog prioritization combines velocity history, capacity constraints, and dependency analysis to score items. This Skill applies priority scoring during backlog grooming to surface high-impact, achievable work aligned with sprint capacity.

Sprint health monitoring tracks burndown, velocity variance, and risk signals in real time, while retrospective reporting synthesizes sprint outcomes and blockers. This Skill surfaces health alerts and produces retrospective outputs formatted for team review and decision-making.

Output formatting adapts to Claude Desktop and Claude Code contexts, with optional Slack or Teams notifications for alerts and reports. This Skill delivers context-aware reports and routing so sprint insights reach teams through their existing communication channels.

Sprint analytics accepts Linear, Jira, GitHub Projects, and Azure DevOps data exports. Normalization maps each tool's schema to a common sprint analytics model, resolving field differences so velocity, capacity, and burndown compute consistently across all sources.