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scrum-master

Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.

74

Quality

91%

Does it follow best practices?

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SecuritybySnyk

The risk profile of this skill

SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with concrete commands, schemas, and thresholds, and is well-structured with verified references. It loses points on minor padding and two orphaned bundle files plus the absence of an explicit retry loop in the workflows.

Suggestions

Trim the Table of Contents and the 'Related Skills' section, and remove the closing reference recap line that repeats links already cited inline, to recover token budget.

Add an explicit validate→fix→retry loop to the Sprint Retrospective workflow (e.g. 'If a script reports missing data, update sprint_data.json and re-run all three scripts before opening the session').

Link references/retro-formats.md and assets/expected_velocity_output.json from the body so every bundle file is navigable; the retro-formats guide in particular should be pointed to from the Retrospective Analyzer section.

DimensionReasoningScore

Conciseness

Mostly efficient and focused on script commands, thresholds, and validation rules Claude would not know, but the Table of Contents, 'Related Skills' section, and closing reference recap add padding and some workflow steps restate generally-known Scrum mechanics. Not a 5 because those elements could be trimmed; not a 3 because the unique script/metric detail earns its tokens.

4 / 5

Actionability

Copy-paste-ready bash commands with concrete flags, a complete input JSON schema, explicit thresholds (e.g. CV <20%, ≤3 action items if completion <60%), and executable bundled scripts cover the common cases, matching the fully-executable anchor.

5 / 5

Workflow Clarity

Workflows (Sprint Planning, Retrospective, Team Development) are clearly numbered and each script carries explicit validation notes (3+ sprints, 2+ sprints, 3+ retros). Not a 5 because no explicit validate→fix→retry feedback loop is written into the workflow steps; the destructive/batch cap does not apply since the analysis scripts are read-only.

4 / 5

Progressive Disclosure

Clear sections with a TOC and one-level-deep, inline-signaled references that all verify as real files. Not a 5 because references/retro-formats.md and assets/expected_velocity_output.json exist as bundle files but are never linked from the body, leaving them orphaned despite retrospectives being a core topic.

4 / 5

Total

17

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, trigger-rich, complete, and clearly niche-scoped to data-driven Scrum analysis, written in third person with no padding. It is a strong model description.

DimensionReasoningScore

Specificity

Lists multiple concrete actions tied to three named scripts ('Monte Carlo sprint forecasting', 'multi-dimension health scoring', 'action-item and theme tracking') plus concrete outputs ('confidence-interval forecasts, health grade reports, improvement-velocity trends'), matching the comprehensive-coverage anchor.

5 / 5

Completeness

Explicitly answers what ('Runs Python scripts to analyse sprint JSON exports... Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends') and when (concrete 'Use when...' trigger list), matching the top anchor.

5 / 5

Trigger Term Quality

The 'Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health' clause provides comprehensive natural phrases a user would actually say.

5 / 5

Distinctiveness Conflict Risk

The data-driven, script-based analysis niche (Monte Carlo forecasting, health scoring, retro tracking) is a clear distinct trigger surface; minor overlap with adjacent agile skills on 'backlog grooming'/'story points' keeps it from being perfectly conflict-free but it fits the clear-niche anchor best.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
alirezarezvani/claude-skills
Reviewed

Table of Contents

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