mixpanel-analytics
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.
Best use case
mixpanel-analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 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.
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.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "mixpanel-analytics" skill to help with this workflow task. Context: 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.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mixpanel-analytics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mixpanel-analytics Compares
| Feature / Agent | mixpanel-analytics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# 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.fixture
def mock_mixpanel():
"""Mock MixPanel client."""
with patch("optimo_analytics.service.MixPanelFactory.get_client") as mock:
yield mock.return_value
class TestNewEventSchema:
"""Test schema validation."""
def test_schema_creation_with_valid_properties(self):
"""Schema accepts valid properties."""
schema = MxpNewEventSchema(
employee_id=str(uuid4()),
organization_id=str(uuid4()),
organization_name="Test Org",
role=SystemRole.EMPLOYEE,
impersonation=False,
)
assert schema.employee_id is not None
class TestNewEventRegistry:
"""Test registry registration."""
def test_event_is_registered(self):
"""Event should be registered in schema registry."""
assert is_event_registered(MixPanelEvent.NEW_EVENT_NAME)
assert EVENT_SCHEMA_REGISTRY.get(MixPanelEvent.NEW_EVENT_NAME) is MxpNewEventSchema
class TestNewEventTracking:
"""Test service tracking method."""
def test_tracking_calls_mixpanel(self, mock_mixpanel, optimo_employee):
"""Tracking should call MixPanel with correct properties."""
OptimoMixpanel{Domain}TrackHelper.track_new_event(
employee_id=str(optimo_employee.uuid),
)
mock_mixpanel.track.assert_called_once()
class TestNewEventNonBlocking:
"""Test fire-and-forget behavior."""
def test_exception_does_not_propagate(self):
"""Tracking exceptions should be caught and logged."""
with patch.object(
OptimoMixpanel{Domain}TrackHelper,
"_track_new_event",
side_effect=Exception("boom"),
):
# Should NOT raise
OptimoMixpanel{Domain}TrackHelper.track_new_event(
employee_id=str(uuid4()),
)
```
### Step 7: Integrate with Business Logic
```python
from optimo_analytics.service import OptimoMixpanel{Domain}TrackHelper
def some_business_method(self, ...):
# ... business logic ...
# Track after successful operation
OptimoMixpanel{Domain}TrackHelper.track_new_event(
employee_id=str(employee.uuid),
)
```
## Critical Rules (DO NOT VIOLATE)
### PII Protection
- **NEVER** send: names, emails, phone numbers, addresses
- **ALLOWED**: organization_name (business approved for analytics)
- **ALWAYS** use UUIDs as strings for identifiers
### Code Patterns
- **ALWAYS** use keyword-only arguments (`*,` in method signature)
- **ALWAYS** wrap tracking in try-except (fire-and-forget)
- **NEVER** let tracking failures break business logic
- **ALWAYS** use structured logging with IDs only
### Event Naming Convention
```text
{prefix}.{object}.{action}[.error]
```
Examples:
- `svc.surveys.survey_delivered`
- `svc.surveys.survey_delivered.error` (for failures)
- `svc.map.action_plan_created`
**Note**: Do NOT include execution context (like "cron") in event names.
Use `is_cron_job` property instead.
### When to Use `is_cron_job`
**NOT all background jobs need `is_cron_job=True`**. Only set it when you need:
1. **API time and tracking time to align** - the event `time` should reflect
the original user action, not when the CRON ran
2. **Ordering events with same timestamp** - distinguish CRON-processed events
from user-triggered ones
**When to set `is_cron_job=True`:**
```python
properties = MxpYourEventSchema(
# ... other fields ...
is_cron_job=True,
cron_execution_timestamp=datetime_to_timestamp_ms(timezone.now()),
)
```
**Validation**: If `is_cron_job=True`, then `cron_execution_timestamp` is
required (enforced by `validate_cron_properties`).
### Schema Field Types
- UUIDs: `str` (never `UUID`)
- Timestamps: Use `datetime_to_timestamp_ms()` for MixPanel
- Enums: Use `SystemRole | None`, etc.
- Lists: `list[str]` for UUID lists
### Optional Values for String Fields
**NEVER override base schema fields as Optional** to handle `None` values. Instead:
- For `str` fields that might have no value, pass **empty string** `""`
- Do NOT duplicate `organization_id`, `organization_name`, `employee_id`, etc.
with `Optional[str]` types in child schemas
- The base `MixpanelSuperEventPropertiesSchema` already defines these fields -
inherit them, don't redefine
**BAD** - Don't do this:
```python
class MxpNewEventSchema(MixpanelSuperEventPropertiesSchema):
# WRONG: duplicating base fields as Optional
organization_id: str | None = Field(default=None, description="...")
organization_name: str | None = Field(default=None, description="...")
```
**GOOD** - Do this instead:
```python
class MxpNewEventSchema(MixpanelSuperEventPropertiesSchema):
# Inherit organization_id, organization_name from base schema
# Pass empty string when value is not available
pass
# In service method:
properties = MxpNewEventSchema(
organization_id=str(org.uuid) if org else "",
organization_name=org.name if org else "",
# ...
)
## Post-Implementation Validations
```bash
# 1. Ruff lint and format
.bin/ruff check optimo_analytics/ --fix
.bin/ruff format optimo_analytics/
# 2. Type checking
.bin/ty check optimo_analytics/
# 3. Django checks
DJANGO_CONFIGURATION=DevApp uv run python manage.py check
# 4. Run tests
.bin/pytest optimo_analytics/tests/ -v --dc=TestLocalApp
```
---
# Review Mode
## Review Checklist
### 1. PII Protection (CRITICAL - P0)
**MUST CHECK**:
- [ ] No `first_name`, `last_name`, `full_name`, `display_name` in schemas
- [ ] No `email`, `email_address`, `user_email` fields
- [ ] No `phone`, `phone_number`, `phone_e164` fields
- [ ] No `address`, `city`, `country` as free-text fields
- [ ] All identifiers are UUIDs as strings (not UUID objects)
- [ ] `organization_name` is ONLY sent to MixPanel, never logged
### 2. Event Registration Completeness (P1)
**MUST VERIFY**:
- [ ] Event constant exists in `constants.py` under `MixPanelEvent`
- [ ] Schema class exists in `schemas.py`
- [ ] Event is registered in `registry.py` `_EVENT_SCHEMA_REGISTRY`
- [ ] Schema inherits from `MixpanelSuperEventPropertiesSchema`
### 3. Schema Design (P1)
**MUST VERIFY**:
- [ ] All UUID fields are typed as `str`, not `UUID`
- [ ] All required fields have `Field(description="...")`
- [ ] Uses `STRICT_MODEL_CONFIG` or `ALIASED_MODEL_CONFIG` appropriately
- [ ] Enum fields use `SystemRole | None` pattern
- [ ] Docstring describes when the event is tracked
- [ ] Base schema fields from `MixpanelSuperEventPropertiesSchema` are NOT
redefined as `Optional[str]` - pass empty string `""` for missing values
### 4. Service Method Patterns (P1)
**MUST VERIFY**:
- [ ] Public method is `@classmethod`
- [ ] Uses keyword-only arguments (`*,` after cls)
- [ ] Has try-except wrapper (fire-and-forget)
- [ ] Exception handler logs with structured fields
- [ ] Private implementation is `@staticmethod`
### 5. Test Coverage (P2)
**MUST HAVE**:
- [ ] Schema validation tests
- [ ] Registry registration test
- [ ] Service tracking test with `mock_mixpanel`
- [ ] Non-blocking test (exception doesn't propagate)
- [ ] Uses `pytestmark = [pytest.mark.django_db]`
### 6. Naming Conventions (P2)
**Event names**: `{prefix}.{object}.{action}[.error]`
**Schema names**: `Mxp{Domain}{Action}EventSchema`
**Helper names**: `OptimoMixpanel{Domain}TrackHelper`
### 7. `is_cron_job` Usage (P2)
**NOTE**: Not all background jobs need `is_cron_job=True`. Only use when:
1. API time and tracking time need to align
2. Events with same timestamp need ordering
**IF `is_cron_job=True` is used, MUST VERIFY**:
- [ ] `cron_execution_timestamp` is provided as Unix milliseconds
- [ ] Event name does NOT contain "cron"
### 8. Timestamp Handling (P2)
**MUST VERIFY**:
- [ ] Uses `datetime_to_timestamp_ms()` for MixPanel timestamps
- [ ] Never sends ISO 8601 strings to MixPanel
### 9. distinct_id Selection (P1)
**distinct_id MUST strictly follow this fallback hierarchy**:
1. **Primary**: User's UUID (the authenticated user performing the action)
2. **Fallback 1**: `org_<organization_uuid>` (when no user context exists)
3. **Fallback 2**: Context-specific ID based on the entity being tracked:
- Slack workspace: `slack_<slack_workspace_id>`
- API key: `apikey_<api_key_id>`
- Webhook: `webhook_<webhook_id>`
**NEVER pass organization_id directly as distinct_id** - always prefix with `org_`.
**MUST VERIFY**:
- [ ] distinct_id is user's UUID when user context is available
- [ ] distinct_id uses `org_<uuid>` prefix when falling back to organization
- [ ] distinct_id uses appropriate prefix for context-specific fallbacks
- [ ] distinct_id is NEVER a raw organization_id without prefix
### 10. Export Completeness (P3)
**MUST VERIFY**:
- [ ] New helper classes exported in `service/__init__.py`
- [ ] Added to `__all__` list
## Automated Checks
```bash
# 1. PII Scan
grep -rn "first_name\|last_name\|email\|phone\|address" optimo_analytics/schemas.py
# 2. UUID Type Check
grep -rn ": UUID" optimo_analytics/schemas.py
# 3. Registration Check
for event in $(grep "^ [A-Z_]* = " optimo_analytics/constants.py | cut -d'=' -f1 | tr -d ' '); do
grep -q "$event" optimo_analytics/registry.py || echo "UNREGISTERED: $event"
done
# 4. Keyword-only Check
grep -rn "def track_" optimo_analytics/service/*.py | while read line; do
file=$(echo $line | cut -d: -f1)
linenum=$(echo $line | cut -d: -f2)
if ! sed -n "$((linenum+1)),$((linenum+5))p" "$file" | grep -q '\*,'; then
echo "MISSING *,: $line"
fi
done
```
## Review Output Format
```markdown
# MixPanel Implementation Review
**Branch**: {branch}
**Scope**: {scope}
**Date**: {date}
## Summary
| Category | Status | Issues |
|----------|--------|--------|
| PII Protection | PASS/FAIL | {count} |
| Event Registration | PASS/FAIL | {count} |
| Schema Design | PASS/FAIL | {count} |
| Service Patterns | PASS/FAIL | {count} |
| Test Coverage | PASS/FAIL | {count} |
## Issues Found
### [P0] CRITICAL - {title}
**File**: `path:line`
**Issue**: Description
**Fix**: How to fix
### [P1] HIGH - {title}
...
## Recommendations
1. ...
2. ...
```
## Severity Tags
- `[P0]` CRITICAL – PII violations, security issues; must fix before merge
- `[P1]` HIGH – Missing registrations, pattern violations; strongly recommended
- `[P2]` MEDIUM – Test coverage gaps, naming issues; should fix
- `[P3]` LOW – Minor improvements; nice to have
---
## Post-Review Actions
After review, if issues found:
1. Create todo list of fixes
2. Apply fixes using `/mixpanel-analytics:implement`
3. Re-run review to verify
If review passes:
1. Run `/monty-code-review:code-review` for general code quality
2. Run `/backend-atomic-commit:pre-commit` for commit preparation
3. Run tests: `.bin/pytest optimo_analytics/tests/ -v --dc=TestLocalApp`
## Compatibility Notes
This skill is designed to work with both **Claude Code** and **OpenAI Codex**.
For Codex users:
- Install via skill-installer with `--repo DiversioTeam/agent-skills-marketplace
--path plugins/mixpanel-analytics/skills/mixpanel-analytics`.
- Use `$skill mixpanel-analytics` to invoke.
For Claude Code users:
- Install via `/plugin install mixpanel-analytics@diversiotech`.
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