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home / skills / a5c-ai / babysitter / usage-analytics-collector

usage-analytics-collector skill

/plugins/babysitter/skills/babysit/process/specializations/sdk-platform-development/skills/usage-analytics-collector

This skill helps collect privacy-preserving SDK usage analytics, anonymizing data, supporting opt-in controls, and delivering actionable dashboards.

npx playbooks add skill a5c-ai/babysitter --skill usage-analytics-collector

Review the files below or copy the command above to add this skill to your agents.

Files (2)
SKILL.md
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---
name: usage-analytics-collector
description: Privacy-respecting SDK usage analytics collection
allowed-tools:
  - Read
  - Write
  - Edit
  - Glob
  - Grep
  - Bash
---

# 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

```yaml
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

Overview

This skill implements a privacy-respecting SDK usage analytics collector for instrumenting JavaScript libraries and agent workflows. It captures feature adoption, error rates, and usage patterns while enforcing configurable privacy safeguards. The design emphasizes opt-in controls, anonymization, and flexible backend support to fit developer portals and production telemetry pipelines.

How this skill works

The collector instruments SDK events (initialization, API calls, errors, feature usage) and batches them for efficient delivery to analytics backends such as Segment, Amplitude, or custom warehouses. It applies anonymization rules and optional differential privacy before sending, and honors consent, Do Not Track, and retention policies. Configurable batching, offline buffering, and retry logic ensure reliable delivery without leaking sensitive identifiers.

When to use it

  • Add telemetry to an SDK to measure feature adoption and broken flows
  • Collect developer experience metrics in a developer portal
  • Enable safe, regulated telemetry for enterprise customers
  • Support offline-capable apps that need queued events
  • Standardize event schemas for multiple analytics backends

Best practices

  • Default to opt-out for sensitive fields and require explicit consent for personal data
  • Document exactly which events and fields are collected and why
  • Anonymize or pseudonymize identifiers and hash IPs before storage
  • Implement data minimization and short retention windows by default
  • Provide clear UI for opt-in/opt-out and honor Do Not Track signals

Example use cases

  • Track sdkInitialized, apiCallMade, errorOccurred, and featureUsed events with schema validation
  • Batch events locally and flush every configurable interval to reduce network overhead
  • Route anonymized events to Segment for routing and also mirror aggregated metrics to a data warehouse
  • Use differential privacy for aggregated usage dashboards to reduce re-identification risk
  • Provide opt-in consent flow and toggle per-project retention settings for enterprise customers

FAQ

Can I use multiple analytics backends simultaneously?

Yes. The collector supports routing to multiple backends (Segment, Amplitude, Mixpanel, custom) with configurable adapters and mapping rules.

How are personal identifiers protected?

Identifiers are pseudonymized or hashed by default. You can add anonymization rules or enable differential privacy for aggregated outputs.

Does it work offline or with intermittent connectivity?

Yes. The SDK supports batching, local buffering, and configurable flush intervals and retry policies to ensure delivery when connectivity returns.