enterprise-analytics
Enterprise analytics — SPACE metrics, portfolio aggregation, team health, risk matrix, forecasting
Best use case
enterprise-analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Enterprise analytics — SPACE metrics, portfolio aggregation, team health, risk matrix, forecasting
Teams using enterprise-analytics should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/enterprise-analytics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How enterprise-analytics Compares
| Feature / Agent | enterprise-analytics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Enterprise analytics — SPACE metrics, portfolio aggregation, team health, risk matrix, forecasting
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Skill: Enterprise Analytics > Prerequisito: @docs/rules/domain/enterprise-metrics.md Orquesta cálculo de métricas SPACE, agregación portfolio, análisis de salud por equipo, detección de riesgos cross-proyecto, y forecasting. ## Flujo 1 — Portfolio (`portfolio`) 1. Leer data de todos los proyectos (velocity, deployments, lead time) 2. Calcular SPACE_avg por proyecto 3. Agregar portfolio score 4. Generar tabla: proyecto, velocity, health, trend, risk 5. Output: dashboard portfolio + top risks ## Flujo 2 — Team Health (`team-health`) 1. Leer data del equipo: velocidad, WIP, burnout, comunicación 2. Calcular cada dimensión SPACE (0-100) 3. Generar gráfico radar (5 ejes = 5 dimensiones) 4. Identificar fortalezas/debilidades 5. Output: scores + recomendaciones ## Flujo 3 — Risk Matrix (`risk-matrix`) 1. Mapear dependencies entre proyectos 2. Identificar críticas (red status, bloqueadas > 48h) 3. Calcular risk exposure por proyecto 4. Output: matriz 2D (likelihood × impact) + alertas ## Flujo 4 — Forecast (`forecast`) 1. Leer últimos 5 sprints de velocity 2. Calcular optimistic/likely/pessimistic ranges 3. Proyectar 2 quarters adelante 4. Output: gráfico + table con predictions + confidence intervals ## Errores | Error | Acción | |---|---| | Equipo sin datos | Crear proyecto stub; mostrar datos insuficientes | | Velocity inconsistente | Usar últimas 3 sprints válidos | | Dependencies circulares | Alertar como CRÍTICO | ## Seguridad - Métricas pueden ser compartidas (no hay PII) - Forecasts son internos (no prometer a clientes sin validación)
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