enterprise-onboarding
Enterprise onboarding at scale — batch import, per-role checklists, progress tracking, knowledge transfer
Best use case
enterprise-onboarding is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Enterprise onboarding at scale — batch import, per-role checklists, progress tracking, knowledge transfer
Teams using enterprise-onboarding 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-onboarding/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How enterprise-onboarding Compares
| Feature / Agent | enterprise-onboarding | 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 onboarding at scale — batch import, per-role checklists, progress tracking, knowledge transfer
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 Onboarding
> Prerequisito: @docs/rules/domain/onboarding-enterprise.md
> Complementa: @docs/rules/domain/team-structure.md, @.claude/commands/team-orchestrator.md
Orquesta el onboarding de múltiples personas (CSV batch) con checklist adaptativo por rol y knowledge transfer automático.
## Flujo 1 — Importar CSV (`import`)
1. Validar CSV: name, email, role, team, projects, start_date
2. Por cada fila: crear perfil temporal (si no existe)
3. Verificar equipo existe en teams/{dept}/
4. Generar checklists per-role usando plantilla de onboarding-enterprise.md
5. Crear documentación de Knowledge Transfer por proyecto
6. Output: informe de importación + rutas de checklists + KT docs
**Errores**: Equipo no existe → mostrar teams existentes; Email duplicado → skip con warning.
## Flujo 2 — Checklist generado (`checklist`)
1. Leer plantilla checklist para {role}
2. Personalizar con {persona}, {equipo}, {proyectos}
3. Guardar en `output/onboarding/checklists/{nombre}-{role}.md`
4. Incluir: Fase 0/1/2/3, tareas específicas, buddy assigned, KT doc link
5. Output: checklist personalizado (markdown file)
## Flujo 3 — Progreso (`progress`)
1. Leer checklist actual de {persona}
2. Calcular % completado por fase (T+0, T+7, T+30)
3. Detectar bloqueos (items marked red)
4. Generar `output/onboarding/progress/{nombre}-YYYYMMDD.md`
5. Output: tabla progreso + alertas de bloqueos + recomendaciones
## Flujo 4 — Knowledge Transfer (`knowledge-transfer`)
1. Leer decision-log.md (últimos 10 entries)
2. Leer specs del proyecto asignado
3. Leer team-structure.md de equipo asignado
4. Generar KT doc:
- Stack overview
- Key decisions + enlaces
- Primeras tareas + owner
- Referencias de documentación
5. Guardar en `output/onboarding/kt/{proyecto}-{nombre}.md`
6. Output: KT document listo para M-1
## Flujo 5 — Sincronizar estado (`sync`)
1. Leer todos los checklists en progress
2. Detectar items desfasados o incompletos
3. Para cada onboarding activo (start_date ≤ today ≤ start_date+30):
- Recalcular fase actual
- Alertar si está retrasado
4. Generar resumen en `output/onboarding/sync-YYYYMMDD.md`
5. Output: status dashboard + alertas críticas
## Errores
| Error | Acción |
|---|---|
| CSV malformado | Validar schema; mostrar ejemplo correcto |
| Equipo no existe | Crear con `/team-orchestrator create` primero |
| Perfil incompleto | Ejecutar `/profile-setup` antes del import |
| KT doc no generable | Fallback: generar template vacío para completar manual |
## Seguridad
- NUNCA exponer emails en outputs públicos (usar @handles)
- Checklists locales (output/) pero pueden subirse a SaviaHub bajo cliente
- Datos de onboarding en output/ — git-ignored excepto checklist summary
- Knowledge Transfer puede contener datos del cliente → respetar confidencialidadRelated Skills
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