analytics-view
Skill0 starsChanged 17 days agoMITView on GitHub
Build an analytics view (dashboard page, KPI tile, report) where the same number must agree across every surface. Use when adding charts, counters, tables, or aggregate metrics.
In this repository11 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- explain-diffSkill
- finalizeSkill
- frontend-designSkill
- planSkill
- pr-reviewSkill
- prSkill
- quality-gatesSkill
- rule-authoringSkill
- setup-projectSkill
- test-on-mainSkill
The file
Files
analytics-view
Rules
- One definition, upstream. Define each metric once at the data layer — view, function, dbt model, or shared service. Downstream code reads it; never re-derives it.
- Fixtures mirror prod shape. Seed NULLs, edge values, unknown enum-like strings, and every column the production writer touches — not just what this view reads.
- Parity test across surfaces. Same metric in two places (tile vs. table, chart vs. export, API vs. UI) → one test that asserts they agree.
- Verify numbers before UI. Query the source directly against known fixtures. Confirm the number. Then wire the view.
When a parity test fails
Find which surface drifted (query the canonical definition), fix that surface. Don't relax the test.
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