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

$curl -o ~/.claude/skills/enterprise-analytics/SKILL.md --create-dirs "https://raw.githubusercontent.com/gonzalezpazmonica/pm-workspace/main/.claude/skills/enterprise-analytics/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/enterprise-analytics/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How enterprise-analytics Compares

Feature / Agententerprise-analyticsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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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