Agent skill

Tracking Discover

by jtrackingai in jtrackingai/analytics-tracking-automation

A skill your agent uses when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work.

Apache-2.0Auto-check passedMarketing & SEO

Install Tracking Discover

skills CLI
$ npx skills add jtrackingai/analytics-tracking-automation --skill tracking-discover -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jtrackingai/analytics-tracking-automation tracking-discover --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jtrackingai/analytics-tracking-automation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tracking-discover .claude/skills/tracking-discover && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tracking-discover
GitHub stars
142
Used in
1 other repo
Token cost
~614 tokens
SKILL.md length
236 words
Files
2
Skills in repo
8
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work.

  • The user wants crawl coverage
  • SKILL.md covers Inputs, Commands, Required Output and Closeout Style, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Platform detection

What it does

Tracking Discover is an agent skill from 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.

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Marketing & SEO, covering Go-to-market strategy. It works with Google Analytics and Shopify. The repository describes itself as: AI-powered GA4 + GTM event tracking — automates site analysis, event schema, GTM sync, preview verification, and publishing. Works with Cursor, Codex, and any AI agent. The licence is Apache-2.0.

When your agent uses it

  • The user wants crawl coverage
  • Platform detection
  • DataLayer discovery
  • A fresh artifact directory before grouping and schema work

Example prompts

  • “/tracking-discover”

What it can do on your machine

Read from SKILL.md and the folder at commit 68378e0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tracking Discover loads about 614 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 236 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~614

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jtrackingai/analytics-tracking-automation at commit 68378e0, republished under its Apache-2.0 licence (© jtrackingai). 236 words, ~614 tokens.

Download SKILL.mdSave it as .claude/skills/tracking-discover/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
tracking-discover
description
Use when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work.

Tracking Discover

Use this skill for analysis-only work and fresh workflow bootstrap.

Inputs

  • target URL
  • output root directory
  • optional Shopify storefront password

Commands

In this repository, use the repo-root wrapper:

bash
./event-tracking analyze <url> --output-root <output-root>

analyze launches a real Chromium via Playwright to fetch the target site over HTTP. 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. Before run-new-setup or analyze, if the tool needs a telemetry consent answer and no prior choice is already recorded, stop and follow ../../references/telemetry-consent.md. Do not choose on the user's behalf, and do not continue until they answer.

Partial mode:

bash
./event-tracking analyze <url> --output-root <output-root> --urls https://example.com/page-a,https://example.com/page-b

Required Output

Produce and share:

  • <artifact-dir>/site-analysis.json
  • <artifact-dir>/workflow-state.json

Report:

  • pages analyzed
  • skipped URLs
  • warnings
  • detected dataLayer events
  • detected live GTM container IDs
  • detected platform

Closeout Style

  • default to a short human-readable analysis summary before listing files
  • summarize coverage, platform, GTM detection, and notable warnings first
  • do not dump raw page HTML, raw JSON, or full URL inventories unless the user explicitly asks for them
  • list generated files and the next command only after the summary

Stop Boundary

Unless the user explicitly asks for the next phase, stop after analysis. If telemetry consent is still unanswered, stop before analysis starts and wait for the user's explicit choice.

If the user wants to continue, the default next command is:

bash
./event-tracking status <artifact-dir>

References

© jtrackingai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/tracking-discover of jtrackingai/analytics-tracking-automation.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 68378e0

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in jtrackingai/analytics-tracking-automation, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Tracking Discover next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tracking Discover compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tracking Discover this skilljtrackingai/analytics-tracking-automation1421 repos~614Automated safety check: PassApache-2.0
Gtm Tracking Plancognyai/claude-code-marketing-skills104—~1.4kAutomated safety check: NotesNone
Analytics Trackingborghei/Claude-Skills881—~5.7kAutomated safety check: PassMIT
Google Analytics 4 Setupooiyeefei/ccc494—~2.2kAutomated safety check: PassMIT
Gtm Auditcognyai/claude-code-marketing-skills104—~1.6kAutomated safety check: PassNone
Gtm Setupcognyai/claude-code-marketing-skills104—~4.8kAutomated safety check: NotesNone

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    End-to-end analytics implementation for web and SaaS: GA4, Google Tag Manager, event taxonomy, conversion tracking, and UTM strategy.

    881 GitHub stars~5.7k tokensUpdated yesterday
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    104 GitHub stars~1.6k tokensUpdated 3 mo ago
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More from jtrackingai/analytics-tracking-automation

All 8 skills in this repo
  • Analytics Tracking Automation

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when you need GA4 + GTM tracking delivery from site discovery through publish, or when the right phase entry point is still unclear.

    142 GitHub stars~2.8k tokensUpdated 5 mo ago
    Auto-check passed
  • Tracking Group

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the work starts from site-analysis.json and the user wants page-group authoring, grouping adjustments, or page-group approval.

    142 GitHub stars~492 tokensUpdated 5 mo ago
    Auto-check passed
  • Tracking Live Gtm

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the user wants to inspect the real live GTM runtime before schema generation or compare multiple live GTM containers.

    142 GitHub stars~721 tokensUpdated 5 mo ago
    Auto-check passed
  • Tracking Schema

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the user wants schema preparation, event design, selector validation, schema review, or event-spec generation.

    142 GitHub stars~1.1k tokensUpdated 5 mo ago
    Auto-check passed
  • Tracking Sync

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the user wants GTM-ready config generation, GTM workspace sync, or container selection from an approved schema.

    142 GitHub stars~677 tokensUpdated 5 mo ago
    Auto-check passed
  • Tracking Verify

    jtrackingai/analytics-tracking-automation

    A skill your agent uses when the user wants preview QA, failure interpretation, release readiness, or an explicit publish handoff.

    142 GitHub stars~695 tokensUpdated 5 mo ago
    Auto-check passed

Questions about Tracking Discover

What does Tracking Discover do?

A skill your agent uses when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work. Tracking Discover is an agent skill from 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.

When should I use Tracking Discover?

Tracking Discover fits situations like: the user wants crawl coverage; platform detection; dataLayer discovery; A fresh artifact directory before grouping and schema work.

How do I install Tracking Discover in Claude Code?

Run `npx skills add jtrackingai/analytics-tracking-automation --skill tracking-discover -a claude-code`. Or copy the skill folder (skills/tracking-discover in jtrackingai/analytics-tracking-automation) into .claude/skills/tracking-discover in your project. Claude Code loads it when a task matches its description.

How do I install Tracking Discover in Codex?

Run `npx skills add jtrackingai/analytics-tracking-automation --skill tracking-discover -a codex`. Or copy the skill folder (skills/tracking-discover in jtrackingai/analytics-tracking-automation) into .agents/skills/tracking-discover in your project. Codex loads it when a task matches its description.

Can I use Tracking Discover in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jtrackingai/analytics-tracking-automation --skill tracking-discover -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tracking-discover, .gemini/skills/tracking-discover, .github/skills/tracking-discover and .opencode/skills/tracking-discover in your project.

What does Tracking Discover need to run?

SKILL.md names no scripts, command-line tools or credentials: Tracking Discover is instructions for the agent only.

Does Tracking Discover access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tracking Discover safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tracking Discover use?

Tracking Discover is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tracking Discover use?

About 614 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tracking Discover?

Skills that share tags, products or a category with Tracking Discover: Gtm Tracking Plan (cognyai/claude-code-marketing-skills, 104 stars), Analytics Tracking (borghei/Claude-Skills, 881 stars), Google Analytics 4 Setup (ooiyeefei/ccc, 494 stars) and Gtm Audit (cognyai/claude-code-marketing-skills, 104 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tracking Discover?

jtrackingai (a GitHub user) maintains it in jtrackingai/analytics-tracking-automation, which has 142 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on April 29, 2026.

Source: jtrackingai/analytics-tracking-automation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.