Usage Analytics Collector Skill
SkillDatabases & dataPrivacy-respecting SDK usage analytics collection
Use Usage Analytics Collector Skill in Claude, ChatGPT or Ahel Desktop
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/sdk-platform-development/skills/usage-analytics-collector/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
usage-analytics-collector- Source
- github.com/a5c-ai/babysitter
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