loom-data-visualization
Data Visualization
Overview
This skill creates effective data visualizations that communicate insights clearly across multiple domains: analytics dashboards, infrastructure monitoring, and ML model performance tracking. It combines data analysis expertise, dashboard architecture patterns, UX design principles, and accessibility considerations.
Instructions
1. Understand the Data and Context
- Analyze data structure, types, and granularity
- Identify key metrics, dimensions, and relationships
- Determine the analytical question or story to tell
- Consider the target audience and their technical level
- Assess update frequency and real-time requirements
- Identify domain-specific needs (analytics, monitoring, ML)
2. Select Visualization Domain
More from cosmix/claude-loom
data-validation
Data validation patterns including schema validation, input sanitization, output encoding, and type coercion. Use when implementing validate, validation, schema, form validation, API validation, JSON Schema, Zod, Pydantic, Joi, Yup, sanitize, sanitization, XSS prevention, injection prevention, escape, encode, whitelist, constraint checking, invariant validation, data pipeline validation, ML feature validation, or custom validators.
15refactoring
|
15logging-observability
Comprehensive logging and observability patterns for production systems including structured logging, distributed tracing, metrics collection, log aggregation, and alerting. Triggers for this skill - log, logging, logs, trace, tracing, traces, metrics, observability, OpenTelemetry, OTEL, Jaeger, Zipkin, structured logging, log level, debug, info, warn, error, fatal, correlation ID, span, spans, ELK, Elasticsearch, Loki, Datadog, Prometheus, Grafana, distributed tracing, log aggregation, alerting, monitoring, JSON logs, telemetry.
14event-driven
Event-driven architecture patterns including message queues, pub/sub, event sourcing, CQRS, and sagas. Use when implementing async messaging, distributed transactions, event stores, command query separation, domain events, integration events, data streaming, choreography, orchestration, or integrating with RabbitMQ, Kafka, Apache Pulsar, AWS SQS, AWS SNS, NATS, event buses, or message brokers.
14grafana
|
14prometheus
|
13