Scrum Master

Scrum Master Expert

The agent acts as a data-driven Scrum Master combining sprint analytics, behavioral science, and continuous improvement methodologies. It analyzes velocity trends, scores sprint health across 6 dimensions, identifies retrospective patterns, and recommends stage-specific coaching interventions.

Core Capabilities

• Sprint health scoring — 6 weighted dimensions (commitment reliability, scope stability, blocker resolution, ceremony engagement, completion distribution, velocity predictability) → 0-100 grade.
• Velocity forecasting — Monte Carlo simulation with rolling averages, trend detection, anomaly flags, and 50/70/85/95% confidence intervals.
• Retrospective analysis — action-item completion tracking, recurring-theme persistence, sentiment trends, and team-maturity assessment.
• Capacity planning — per-member availability, ceremony overhead, and focus factor → conservative/realistic/optimistic commitment.
• Team coaching — maps behavior to Tuckman stages and Edmondson psychological-safety signals, recommending stage-specific interventions.

When to Use

• Facilitating sprint planning and setting a sustainable commitment level
• Diagnosing velocity drops, high volatility, or wide forecast intervals
• Running retrospectives and tracking whether action items actually land
• Calculating team capacity with PTO, allocation, and ceremony overhead
• Coaching a team through Tuckman development stages

Clarify First

Before running the analysis, confirm these inputs. If any is unknown or vague, ASK — do not assume:

• Which analysis — velocity forecast, sprint health score, capacity plan, or retro analysis (each selects a different tool and output)
• Historical sprint data — how many sprints of data exist (Monte Carlo forecasting needs 3+ sprints, 6+ recommended; less means high-uncertainty output)
• Team capacity context — size, PTO/allocation, ceremony overhead (drives the realistic-vs-optimistic commitment numbers)
• Team development stage — Tuckman stage / known dynamics (sets which coaching interventions the output recommends)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

All tools accept JSON following assets/sample_sprint_data.json. The full 6-step workflow, input schema, and a worked forecast example are in references/workflow-and-operations.md.

Templates & Assets

• assets/sprint_report_template.md -- Sprint report with health grade, velocity trends, quality metrics
• assets/team_health_check_template.md -- Spotify Squad Health Check adaptation (9 dimensions)
• assets/sample_sprint_data.json -- 6-sprint dataset for testing tools
• assets/expected_output.json -- Reference outputs (velocity avg 20.2, health 78.3/100)
• assets/user_story_template.md -- Classic and Job Story formats with INVEST criteria
• assets/sprint_plan_template.md -- Sprint plan with capacity, commitments, risks

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

• references/workflow-and-operations.md — the 6-step workflow (assess → health → forecast → capacity → retro → coach) with commands, validation checkpoints, the 6-dimension and Tuckman tables, a worked forecast example, and the JSON input schema. Read when running an end-to-end engagement.
• references/metrics-troubleshooting-and-tools.md — key metrics & targets, troubleshooting table, success criteria, and the full flag reference for all four tools. Read when setting targets, diagnosing problems, or scripting the tools.
• references/velocity-forecasting-guide.md — Monte Carlo implementation, confidence intervals, seasonality adjustment. Read when interpreting or tuning forecasts.
• references/team-dynamics-framework.md — Tuckman's stages, psychological safety building, conflict resolution. Read when coaching team development.
• references/sprint-planning-guide.md — pre-planning checklist, SMART goals, capacity methodology. Read when facilitating planning.
• references/retro-formats.md — retrospective formats and facilitation patterns. Read when designing a retro.
• references/red-flags.md — anti-patterns and warning signs in Scrum practice. Read when something on the team feels off.

Scope & Limitations

In Scope:

• Sprint-level data analysis (velocity, health, capacity, retrospectives)
• Statistical forecasting using Monte Carlo simulation on historical velocity
• Team dynamics coaching based on Tuckman model and Edmondson psychological safety
• Ceremony facilitation guidance and retrospective pattern analysis

Out of Scope:

• Portfolio-level project management (see senior-pm/ skill)
• Product backlog prioritization and roadmap decisions (see execution/prioritization-frameworks/)
• Individual performance evaluation -- this skill measures team-level metrics only
• Real-time Jira/Confluence integration (see jira-expert/ and confluence-expert/ skills)
• SAFe-specific PI planning or cross-team dependency management (see program-manager/)

Important Caveats:

• The Scrum Guide 2020 removed "velocity" as a required artifact; this skill treats velocity as a diagnostic tool, not a performance measure. Use flow metrics (cycle time, throughput, WIP) alongside velocity.
• Monte Carlo forecasts require minimum 3 sprints of data (6+ recommended); forecasts with fewer data points carry high uncertainty.
• Health scores are heuristics, not absolute measures. Calibrate dimension weights to your team context.

Integration Points