usage-analytics-collector

name	usage-analytics-collector
description	Privacy-respecting SDK usage analytics collection
allowed-tools	["Read","Write","Edit","Glob","Grep","Bash"]
graph	{"domains":["domain:software-engineering"],"specializations":["specialization:sdk-platform-development"],"skillAreas":["skill-area:analytics-tracking","skill-area:observability-instrumentation"],"roles":["role:platform-engineer"],"topics":["topic:api-design","topic:developer-experience"]}

Usage Analytics Collector Skill

Overview

This skill implements privacy-respecting SDK usage analytics that help understand feature adoption, usage patterns, and developer experience while maintaining user trust.

Capabilities

• Track SDK feature usage patterns
• Implement configurable opt-in/opt-out mechanisms
• Anonymize collected data appropriately
• Generate usage dashboards and reports
• Support event batching and offline collection
• Implement differential privacy techniques
• Configure data retention policies
• Support multiple analytics backends

Target Processes

• Telemetry and Analytics Integration
• Developer Portal Implementation
• Developer Experience Optimization

Integration Points

• Segment for event routing
• Amplitude for product analytics
• Mixpanel for user analytics
• Custom analytics backends
• Data warehouses

Input Requirements

• Events to track
• Privacy requirements
• Opt-in/opt-out mechanisms
• Anonymization rules
• Retention policies

Output Artifacts

• Analytics collection module
• Opt-in/opt-out UI components
• Event schemas
• Anonymization utilities
• Dashboard configurations
• Privacy documentation

Usage Example

skill:
  name: usage-analytics-collector
  context:
    consentModel: opt-in
    events:
      - sdkInitialized
      - apiCallMade
      - errorOccurred
      - featureUsed
    anonymization:
      ipAddresses: hash
      userIds: pseudonymize
    batching:
      enabled: true
      maxBatchSize: 100
      flushInterval: 60s
    retention: 90d
    backend: segment

Best Practices

1. Default to opt-out for sensitive data
2. Clearly document what is collected
3. Anonymize all personal identifiers
4. Implement data minimization
5. Provide easy opt-out mechanisms
6. Respect Do Not Track signals