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gtm-tracking-plan
Turn a measurement plan into a Google Tag Manager spec — tags, triggers, variables, and copy-paste dataLayer snippets for every event
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Turn a measurement plan into a Google Tag Manager spec — tags, triggers, variables, and copy-paste dataLayer snippets for every event
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | gtm-tracking-plan |
| description | Turn a measurement plan into a Google Tag Manager spec — tags, triggers, variables, and copy-paste dataLayer snippets for every event |
| version | 1.0.0 |
| author | Cogny AI |
| platforms | [] |
| user-invocable | true |
| argument-hint | <site url> |
| allowed-tools | ["WebFetch","WebSearch","Bash","Read","Write"] |
Give it a site URL and get back a complete Google Tag Manager build spec — every tag,
trigger, and variable to create, plus the exact dataLayer.push() snippets a
developer drops into the site. It's the implementation half of a measurement plan. No
account connection required.
Best run after /ga4-measurement-plan — pass the same URL and this skill builds the
GTM container to deliver that plan. Run alone, it derives a sensible plan first.
/gtm-tracking-plan example.com — full GTM build spec for the site
If a GA4 measurement plan already exists in the conversation, use its event taxonomy.
Otherwise, WebFetch the site, infer the site type and funnel, and derive the event
list yourself (the same logic as /ga4-measurement-plan, in brief).
For each event you need: name, when it fires, its parameters, whether it's a key event.
List every variable to create, by type:
ecommerce, value, currency, transaction_id, lead_source, …)G-XXXXXXX)Present as a table: variable name, type, configuration, used by.
One trigger per distinct firing condition. For each: name, type, and conditions.
event equals purchase,
generate_lead, …) — the recommended approach for anything pushed to the dataLayerName them consistently: CE - purchase, Click - CTA button.
List every tag to create. For each: name, type, what fires it, and key fields.
Use a clear convention: GA4 - Event - purchase, Ads - Conversion - Lead.
This is the developer handoff. For every event that needs site code, give a
copy-paste dataLayer.push() snippet with realistic placeholders:
<!-- Fire on the order confirmation page, after the dataLayer is initialized -->
<script>
window.dataLayer = window.dataLayer || [];
dataLayer.push({ ecommerce: null }); // clear the previous ecommerce object
dataLayer.push({
event: "purchase",
ecommerce: {
transaction_id: "{{ORDER_ID}}",
value: {{ORDER_TOTAL}},
currency: "{{CURRENCY}}",
items: [
{ item_id: "{{SKU}}", item_name: "{{NAME}}", price: {{PRICE}}, quantity: {{QTY}} }
]
}
});
</script>
Include the snippet for each key event and the most important non-key events. Note the firing location (which page / which DOM event) for each.
Give the build sequence:
Call out the common failure modes: dataLayer pushed after the GTM snippet, stale
ecommerce object not cleared, tags firing pre-consent, event-name typos.
Deliver as one document:
GTM Tracking Plan — [site]
Container overview: X tags · X triggers · X variables
1. Variables table
2. Triggers table
3. Tags table
4. dataLayer snippets (per event, with firing location)
5. Build order
6. QA checklist
/gtm-audit
(requires Cogny MCP).Submit an AI agent to the agentlaunch directory and upvote agents via a public no-auth REST API
Comprehensive Google Ads account audit — campaign structure, budget pacing, conversion tracking, wasted spend — across every campaign type, ranked by estimated $ impact
Google Ads Demand Gen audit — audience strategy, creative format diversity, creative freshness, placements, CPA vs goal
Google Analytics 4 configuration and data-quality audit — key events, data streams, custom dimensions, attribution, retention, PII, Ads link, BigQuery export
Build a GA4 measurement plan from a site URL — event taxonomy, parameters, custom dimensions, and key events to mark as conversions
Weekly GA4 check — sessions, users, key-event conversions, revenue, channel mix — with week-over-week deltas and tracking-break alerts