Best use case
Analytics Tracking Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## Trigger
Teams using Analytics Tracking Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/sw-analytics-tracking/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Analytics Tracking Skill Compares
| Feature / Agent | Analytics Tracking Skill | 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?
## Trigger
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.
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SKILL.md Source
# Analytics Tracking Skill ## Trigger When the user wants to set up, improve, or audit analytics tracking and measurement. **Trigger phrases:** "set up tracking", "GA4", "Google Analytics", "conversion tracking", "event tracking", "UTM parameters", "tag manager", "GTM", "analytics implementation", "tracking plan" ## Process 1. **Understand**: Product type, key conversion actions, current setup 2. **Design**: Event taxonomy, conversion funnels, UTM strategy 3. **Implement**: Tracking code, GTM configuration, custom events 4. **Verify**: Testing plan to confirm data accuracy 5. **Dashboard**: KPI definitions and reporting structure ## Output: Tracking Plan ```markdown # Tracking Plan — [Product] ## Key Conversions | Event | Trigger | Parameters | Priority | |-------|---------|------------|----------| | sign_up | Form submission | method, source | P0 | | purchase | Checkout complete | value, currency, items | P0 | ... ## Event Taxonomy ### Naming Convention - Format: `[object]_[action]` (e.g., `button_click`, `form_submit`) - Always lowercase, underscore separated - Include: event name, category, label, value ### User Properties | Property | Type | Description | |----------|------|-------------| | user_type | string | free / pro / enterprise | | signup_date | date | Account creation date | ... ## UTM Strategy | Campaign Type | Source | Medium | Campaign | |--------------|--------|--------|----------| | Newsletter | newsletter | email | [YYYY-MM-topic] | | Social organic | twitter/linkedin | social | [topic] | | Paid ads | google/meta | cpc | [campaign-name] | ... ## Conversion Funnels ### Primary: Visitor → Signup → Activation → Purchase 1. page_view (landing page) 2. cta_click (signup button) 3. sign_up (form submitted) 4. onboarding_start 5. key_action_complete (activation event) 6. purchase ## Dashboard KPIs | KPI | Definition | Target | |-----|-----------|--------| | Conversion rate | signups / visitors | >3% | ... ``` ## Rules - Always define events before implementing — plan first - Use consistent naming conventions across all events - Test every event in debug mode before going live - Document everything — future you will thank present you - GDPR: always include consent mechanism before tracking EU users
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name: article-factory-wechat