Design Kpis
Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans...
Install
npx skills add XiaomiMiMo/MiMo-Code --skill design-kpis -g -a claude-code -y- Repository
- XiaomiMiMo/MiMo-Code13.7k
- Category
- Design
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 2,175 tokens
- Runs scripts
- No, instructions only
What it does
Design KPI frameworks, metric definitions, targets, guardrails, and measurement plans for product or business decisions. Use when success metrics, drivers, guardrails, targets, or the measurement approach need to be defined or improved.
Design KPIs
Design KPI frameworks, set targets, and develop measurement plans that help teams make product or business decisions.
When To Use Data Quality First
Use $analyze-data-quality first when the task is to reconcile existing metrics, dashboards, tables, owners, or sources of truth.
Return to this skill only when the user asks to define the metric going forward, redesign the KPI framework, choose guardrails, or set targets.
Skill Configuration
Source Discovery And Verification
Use the relevant semantic layer as a starting map, not a boundary.
- Explore all possible sources. Search every connected or provided source that could contain task-relevant data or change the interpretation. Within each structured-data source, run fresh catalog or metadata discovery for relevant schemas, datasets, tables, views, models, and metrics. Known sources, tables, dashboards, and semantic mappings are starting points, not stopping points.
- Compare duplicates and conflicts. When sources overlap or disagree, compare ownership, freshness, definition, grain, coverage, and directness. Use the best authoritative source, or combine complementary sources when needed. Note material conflicts, explain why the selected source or sources control the answer, and verify selected data through live reads before concluding.
Source Access Guardrail
Before querying sources, building artifacts, or drawing conclusions, determine whether the answer requires a specific source of truth.
If a required source is unavailable, stop that path. Tell the user what source is needed, ask them to make it available or provide a reviewed fallback, and do not treat weaker substitutes as equivalent.
If the missing source is only optional enrichment, continue with the strongest available evidence and label the gap when it materially affects the answer.
