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.
| Dimension | Reasoning | Score |
|---|---|---|
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 |