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Tracking Discover

Community
jtrackingai
tracking-discover

Use when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work.

Overview

Publisherjtrackingai
Repositoryanalytics-tracking-automation
Skill nametracking-discover
Stars
140
Forks
39
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jtrackingai on GitHub. Read the source before you install it.

Installation

Install the Tracking Discover AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jtrackingai/analytics-tracking-automation.git /tmp/analytics-tracking-automation
mkdir -p .claude/skills
cp -r /tmp/analytics-tracking-automation/skills/tracking-discover .claude/skills/tracking-discover
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tracking Discover in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tracking Discover on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tracking Discover is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tracking Discover AI skill do?

Use when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work.

Why use Tracking Discover on TypingMind?

Because you install it once and use it with any model. Tracking Discover is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tracking Discover in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jtrackingai/analytics-tracking-automation/tree/main/skills/tracking-discover. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tracking Discover?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tracking Discover?

As many as you like. As long as a model supports skills, you can use Tracking Discover with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tracking Discover AI skill free?

Yes. It is published on GitHub by jtrackingai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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