tracking-discover
Use when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work.
Use when the user wants schema preparation, event design, selector validation, schema review, or event-spec generation.
$ npx -y skills add jtrackingai/analytics-tracking-automation --skill tracking-schema --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/tracking-schemaContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when the user wants schema preparation, event design, selector validation, schema review, or event-spec generation.
name: tracking-schema description: Use when the user wants schema preparation, event design, selector validation, schema review, or event-spec generation.
Use this skill for Step 3 work only.
One of:
During schema work, act as an expert in event tracking design.
Your job is not to list generic events. Your job is to produce a tracking plan that is:
Favor event definitions that are business-meaningful, implementation-ready, and analytically useful. Do not preserve weak legacy patterns just for continuity. Do not inflate the schema with events that add little reporting or decision value.
If the telemetry consent prompt appears and no prior choice is recorded, stop and follow [../../references/telemetry-consent.md](../../references/telemetry-consent.md) before continuing.
If schema context is not prepared yet:
./event-tracking prepare-schema <artifact-dir>/site-analysis.json
If the site has a live GTM container installed, make sure `tracking-live-gtm` has already produced `<artifact-dir>/live-gtm-analysis.json` before running `prepare-schema`.
Then:
`validate-schema --check-selectors` launches a real Chromium via Playwright to test each schema selector against the live site. Run it in an environment that permits outbound network and local browser execution; environments that restrict either tend to cause Playwright to hang or fail silently rather than return a clean error.
./event-tracking validate-schema <artifact-dir>/event-schema.json --check-selectors ./event-tracking generate-spec <artifact-dir>/event-schema.json ./event-tracking confirm-schema <artifact-dir>/event-schema.json
During review:
Produce and share:
Stop after schema approval.
Do not continue into `generate-gtm` from a broad workflow request alone. The user must explicitly approve the current `event-schema.json` and its parameters first.
Default next phase:
./event-tracking generate-gtm <artifact-dir>/event-schema.json --measurement-id <G-XXXXXXXXXX>
analytics-tracking-automation is a local-first AI skill for planning, reviewing, and delivering GA4 + GTM tracking.
Repo: jtrackingai/analytics-tracking-automation
Use when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work.
Use when the work starts from `site-analysis.json` and the user wants page-group authoring, grouping adjustments, or page-group approval.
Use when the user wants to inspect the real live GTM runtime before schema generation or compare multiple live GTM containers.
Use when the platform is Shopify or the run needs the Shopify-specific schema, sync, install, or verification branch.
Use when the user wants GTM-ready config generation, GTM workspace sync, or container selection from an approved schema.
Use when the user wants preview QA, failure interpretation, release readiness, or an explicit publish handoff.