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dashboard-build

Use this skill to build, implement, and test Vizro dashboards (Phase 2). Activate when the user wants to create a working app, says "just build it", or has data ready for implementation. Requires spec files from the dashboard-design skill (Phase 1), or user confirmation to skip design.

98

4.26x
Quality

Does it follow best practices?

Impact

98%

4.26x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The body is a tight, executable workflow with concrete commands, validation checkpoints, and feedback loops, supported by a well-organized one-level-deep reference bundle whose paths all resolve. It adds operational specifics and gotchas rather than concepts Claude already knows.

DimensionReasoningScore

Conciseness

The body is lean and operational, assuming Claude's competence — it adds only Vizro-specific gotchas and exact commands rather than explaining what dashboards or libraries are; the repeated terminal-warning guidance is intentional emphasis on a process-killing mistake, not concept padding.

3 / 3

Actionability

Provides copy-paste-ready commands (e.g. `uv run ./scripts/get_model_json_schema.py <model_name> ...`, `uv run ./scripts/validate_colors.py .`) and concrete patterns (`vm.AgGrid` with `figure=dash_ag_grid(...)`, `from vizro.themes import palettes, colors`); not 2 because guidance is fully executable rather than pseudocode.

3 / 3

Workflow Clarity

A clear two-step Build→Test sequence with explicit validation checkpoints (Validation Checklist, validate_colors/validate_aggregation scripts, browser-test walk, 'Done When' criteria) and a fix→restart→re-walk feedback loop; not 2 because validation steps and error-recovery loops are explicit.

3 / 3

Progressive Disclosure

SKILL.md is an overview that delegates detail to one-level-deep, well-signaled references (data_management.md, custom_charts_guide.md, example_app.py, example_ag_grid.py, scripts), summarized in a 'Reference Files' table with a 'When to Load' column; all referenced paths verified to exist.

3 / 3

Total

12

/

12

Passed

Description

100%

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, uses natural third-person trigger language, answers both 'what' and 'when', and is clearly distinguished from the companion Phase 1 design skill. It is concise and free of vague fluff or over-claims.

DimensionReasoningScore

Specificity

Lists three concrete actions — 'build, implement, and test Vizro dashboards' — naming the domain and specific operations rather than vague language; not below 3 because multiple concrete actions are present.

3 / 3

Completeness

Clearly states what it does (build/implement/test Vizro dashboards) and when to activate via an explicit 'Activate when...' clause; not 2 because both 'what' and 'when' are explicitly present with trigger guidance.

3 / 3

Trigger Term Quality

Natural user phrases are explicitly quoted — 'create a working app', "just build it", 'has data ready for implementation' — the kind of language a user would actually say; not below 3 because coverage of natural terms is strong.

3 / 3

Distinctiveness Conflict Risk

Scoped to 'Vizro dashboards (Phase 2)' and explicitly distinguished from the sibling 'dashboard-design skill (Phase 1)', giving it a clear niche unlikely to trigger for the wrong skill.

3 / 3

Total

12

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 6 deeper-than-1-level

Warning

Total

15

/

16

Passed

Repository
mckinsey/vizro
Reviewed

Table of Contents

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