Babysitter usage-analytics-collector

Privacy-respecting SDK usage analytics collection

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/sdk-platform-development/skills/usage-analytics-collector" ~/.claude/skills/a5c-ai-babysitter-usage-analytics-collector && rm -rf "$T"

manifest: library/specializations/sdk-platform-development/skills/usage-analytics-collector/SKILL.md

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

Default to opt-out for sensitive data
Clearly document what is collected
Anonymize all personal identifiers
Implement data minimization
Provide easy opt-out mechanisms
Respect Do Not Track signals