banking-architecture
Skill: Banking Architecture
Best use case
banking-architecture is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Skill: Banking Architecture
Teams using banking-architecture 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/banking-architecture/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How banking-architecture Compares
| Feature / Agent | banking-architecture | 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?
Skill: Banking Architecture
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: Banking Architecture
> Conocimiento especializado para equipos de desarrollo, arquitectura y PM en entornos bancarios.
---
## Cuándo usar
- Proyecto detectado como bancario (score ≥55% en `/banking-detect`)
- Comandos `/banking-*` invocan este skill automáticamente
- Arquitecto o PM trabaja con stack BIAN, Kafka, Snowflake, MLOps
## References disponibles
| Reference | Uso | Cargado por |
|-----------|-----|-------------|
| `bian-framework.md` | Service domains, metamodelo BIAN, ArchiMate | `/banking-bian` |
| `eda-patterns-banking.md` | Saga, CQRS, Event Sourcing, Kafka topologías | `/banking-eda-validate` |
| `data-governance-banking.md` | Lineage, clasificación, feature stores, data mesh | `/banking-data-governance` |
## Flujo general
```
/banking-detect → identifica proyecto bancario
↓
/banking-bian → valida arquitectura vs BIAN
↓
/banking-eda-validate → valida pipelines Kafka/EDA
↓
/banking-data-governance → audita gobierno de datos
↓
/banking-mlops-audit → audita pipeline ML/IA
```
## Stack típico detectado
**Infraestructura:** AWS/Azure, Docker, Kubernetes/OpenShift
**Messaging:** Kafka, MSK, AMQ, Apache Pulsar
**Data:** Snowflake, Iceberg, Denodo, Delta Lake
**ML:** MLflow, Evidently, SageMaker, Vertex AI
**Observabilidad:** Prometheus, Grafana, ELK, CloudWatch
**CI/CD:** Jenkins, Bitbucket, Azure DevOps, GitHub Actions
**Estándares:** BIAN, TOGAF, ArchiMate, ISO 20022, SWIFT
## Integración con pm-workspace
- `/arch-detect` → Si banking detected → sugiere `/banking-bian`
- `/diagram-generate --type archimate` → Usa templates BIAN
- `/obs-query` → Dashboards bancarios: settlement latency, TPS, liquidity
- `/vertical-finance` → Complementario (compliance) vs banking (tooling)
- `/compliance-scan --sector banking` → Extiende sector finance
## Restricciones
- **NUNCA** acceder a datos financieros reales sin autorización explícita
- **NUNCA** dar consejo de inversión o regulatorio vinculante
- **SIEMPRE** marcar recomendaciones como "sugerencia técnica, no asesoría legal"
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