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mixpanel-analytics

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MixPanel analytics tracking implementation and review Skill for Django4Lyfe optimo_analytics module. Implements new events following established patterns and reviews implementations for PII protection, schema design, and code quality.

Design

What this skill does


# MixPanel Analytics Skill

## When to Use This Skill

Use this Skill in the Django4Lyfe backend when working with MixPanel analytics
tracking in the `optimo_analytics` module:

- `/mixpanel-analytics:implement` – to **implement** new MixPanel tracking events
  or update existing ones following established patterns (7-step checklist).
- `/mixpanel-analytics:review` – to **review** MixPanel implementations for
  correctness, PII protection, and adherence to Django4Lyfe standards.

## Example Prompts

### Implement Mode

- "Use `/mixpanel-analytics:implement` to add a new event for tracking when a
  user completes their profile setup."
- "Run `/mixpanel-analytics:implement svc.surveys.reminder_sent` to add tracking
  for survey reminder notifications."
- "Implement MixPanel tracking for the new HRIS CSV validation feature using
  `/mixpanel-analytics:implement`."

### Review Mode

- "Run `/mixpanel-analytics:review staged` to check my staged MixPanel changes
  for PII violations and pattern compliance."
- "Use `/mixpanel-analytics:review branch` to audit all analytics changes on
  this feature branch."
- "Review the entire optimo_analytics module with `/mixpanel-analytics:review all`."

## Modes

This Skill behaves differently based on how it is invoked:

- `implement` mode – invoked via `/mixpanel-analytics:implement`:
  - Guides implementation of new MixPanel events through 7 steps.
  - Creates constants, schemas, registry entries, service methods, and tests.
  - Enforces PII protection and code patterns.
- `review` mode – invoked via `/mixpanel-analytics:review`:
  - Audits existing implementations for compliance.
  - Checks PII protection, schema design, service patterns, and test coverage.
  - Generates structured review reports with severity tags.

## Environment & Context Gathering

When this Skill runs, gather context first:

```bash
# Git context
git branch --show-current
git status --porcelain
git diff --cached --name-only | grep -E "optimo_analytics|mixpanel"

# Analytics module stats
grep -c "^    [A-Z_]* = " optimo_analytics/constants.py 2>/dev/null || echo "0"
grep -c "^class Mxp" optimo_analytics/schemas.py 2>/dev/null || echo "0"
grep -c "MixPanelEvent\." optimo_analytics/registry.py 2>/dev/null || echo "0"
ls -1 optimo_analytics/service/*.py 2>/dev/null | xargs -I{} basename {} .py
```

Read key reference files:
- `optimo_analytics/AGENTS.md` – module-level rules and PII guidelines
- `optimo_analytics/schemas.py` – existing schema patterns
- `optimo_analytics/service/AGENTS.md` – service layer patterns
- `optimo_analytics/tests/AGENTS.md` – test patterns

---

# Implementation Mode

## 7-Step Implementation Checklist

For each new event, complete these steps in order:

### Step 1: Add Event Constant (`optimo_analytics/constants.py`)

```python
# Event naming convention: {prefix}.{object}.{action}[.error]
# Examples:
#   - svc.surveys.survey_delivered
#   - svc.map.action_plan_created
#   - svc.hris_csv.upload.analysis_completed
#
# NOTE: Do NOT include "cron" in event names - use is_cron_job property instead

class MixPanelEvent:
    # Add under appropriate section with comment
    NEW_EVENT_NAME = "svc.domain.action_name"
```

### Step 2: Create Schema (`optimo_analytics/schemas.py`)

```python
# Schema naming: Mxp{Domain}{Action}EventSchema
# CRITICAL RULES:
#   - All UUIDs MUST be strings (str, not UUID)
#   - NO PII: no names, emails, phone numbers
#   - organization_name IS allowed (business approved)
#   - Use STRICT_MODEL_CONFIG (no aliases) or ALIASED_MODEL_CONFIG ($ aliases)

class MxpNewEventSchema(MixpanelSuperEventPropertiesSchema):
    """Properties for svc.domain.action_name event.

    Tracked when [describe when this event fires].
    """

    # Required fields (no defaults)
    employee_id: str = Field(description="Employee UUID as string")
    organization_id: str = Field(description="Organization UUID as string")
    organization_name: str = Field(description="Organization name for analytics")
    role: SystemRole | None = Field(description="User role")
    impersonation: bool = Field(description="Is impersonated session")

    # Event-specific fields
    custom_field: str = Field(description="What this field represents")

    # Use STRICT_MODEL_CONFIG for internal-only schemas
    # Use ALIASED_MODEL_CONFIG when field names need $ prefix for MixPanel (e.g., $device_id)
    model_config = STRICT_MODEL_CONFIG
```

### Step 3: Register in Registry (`optimo_analytics/registry.py`)

```python
# Add import at top
from optimo_analytics.schemas import MxpNewEventSchema

# Add to _EVENT_SCHEMA_REGISTRY dict
_EVENT_SCHEMA_REGISTRY: dict[str, type[MixpanelSuperEventPropertiesSchema]] = {
    # ... existing entries ...
    MixPanelEvent.NEW_EVENT_NAME: MxpNewEventSchema,
}
```

### Step 4: Add Tracking Helper (`optimo_analytics/service/{domain}.py`)

Choose appropriate service file or create new one:
- `auth.py` - Authentication events
- `survey.py` - Survey lifecycle events
- `risk.py` - Risk calculation events
- `map.py` - Manager Action Pipeline events
- `core.py` - Core/HRIS events

```python
class OptimoMixpanel{Domain}TrackHelper:
    """Helper class for {Domain} event tracking."""

    @classmethod
    def track_new_event(
        cls,
        *,  # CRITICAL: Force keyword-only arguments
        employee_id: str,
        # ... other params ...
    ) -> None:
        """
        Track new event (svc.domain.action_name).

        Tracked when [describe trigger condition].

        Args:
            employee_id: Employee UUID as string
        """
        try:
            cls._track_new_event(
                employee_id=employee_id,
                # ... pass all args ...
            )
        except Exception:
            # Fire-and-forget: log but don't propagate
            logger.exception(
                "mixpanel_new_event_tracking_failed",
                employee_id=employee_id,
            )

    @staticmethod
    def _track_new_event(
        *,
        employee_id: str,
        # ... other params ...
    ) -> None:
        """Track new event implementation."""
        emp_info = OptimoMixpanelService._fetch_required_emp_info(
            employee_id=employee_id
        )

        properties = MxpNewEventSchema(
            employee_id=employee_id,
            organization_id=str(emp_info.organization.uuid),
            organization_name=emp_info.organization.name,
            role=emp_info.role,
            impersonation=False,
            # ... event-specific fields ...
        )

        # distinct_id fallback hierarchy:
        # 1. User's UUID (primary)
        # 2. org_<organization_uuid> (fallback when no user)
        # 3. Context-specific: slack_<id>, apikey_<id>, webhook_<id>
        distinct_id = employee_id  # or f"org_{org_uuid}" if no user
        OptimoMixpanelService.track_event(
            distinct_id=distinct_id,
            event_name=MixPanelEvent.NEW_EVENT_NAME,
            properties=properties,
        )
```

### Step 5: Export from `__init__.py` (`optimo_analytics/service/__init__.py`)

```python
# Add to imports
from optimo_analytics.service.{domain} import OptimoMixpanel{Domain}TrackHelper

# Add to __all__
__all__ = [
    # ... existing ...
    "OptimoMixpanel{Domain}TrackHelper",
]
```

### Step 6: Add Tests (`optimo_analytics/tests/test_{event}_event.py`)

```python
"""Tests for {Event} MixPanel tracking."""

from unittest.mock import patch
from uuid import uuid4

import pytest

from optimo_analytics.constants import MixPanelEvent
from optimo_analytics.registry import EVENT_SCHEMA_REGISTRY, is_event_registered
from optimo_analytics.schemas import MxpNewEventSchema
from optimo_analytics.service import OptimoMixpanel{Domain}TrackHelper

pytestmark = [pytest.mark.django_db]


@pytest.fixture(autouse=True)
def eager_jobs(settings):
    """Force synchronous job execution."""
    settings.OPTIMO_JOBS_EAGER_MODE = True
    yield
    settings.OPTIMO_JOBS_EAGER_MODE = False


@pytest.fixt

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