Utm Campaign Plan logo

Utm Campaign Plan

Organization
Ootto-AI
utm-campaign-plan

Use when a campaign needs a consistent, approved way to label links so the team can distinguish sources and make later reporting possible. Trigger phrases include "plan our UTMs", "name campaign links", "make tracking links", "how should we tag creator links?", and "set up attribution for this launch". Do not use this to claim analytics access, create tracking without consent or policy review, or decide campaign strategy; use campaign-brief for the campaign source, paid-social-brief for media requirements, and social-analytics-report to interpret available data.

Overview

PublisherOotto-AI
Repositoryclaude-content-skills
Skill nameutm-campaign-plan
Stars
264
Forks
53
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Ootto-AI on GitHub. Read the source before you install it.

Installation

Install the Utm Campaign Plan 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.
    https://github.com/Ootto-AI/claude-content-skills/tree/main/skills/utm-campaign-plan
  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/Ootto-AI/claude-content-skills.git /tmp/claude-content-skills
mkdir -p .claude/skills
cp -r /tmp/claude-content-skills/skills/utm-campaign-plan .claude/skills/utm-campaign-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Utm Campaign Plan 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 Utm Campaign Plan 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 Utm Campaign Plan 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.

UTM Campaign Plan

Create a small, consistent link taxonomy that answers real reporting questions without turning every URL into ungoverned tracking noise.

1. Start with the reporting question

Ask what decision the data should support, which destinations are approved, which channels and partners are involved, what analytics system consumes the links, and what naming convention already exists. If no reporting owner or system is known, document that limitation before issuing links.

2. Define the controlled vocabulary

Set clear allowed values for source, medium, campaign, content, and term only when each has a decision use. Use human-readable, stable naming. Separate owned social, paid social, creators, partners, and experiments so later reporting does not blend unlike traffic.

3. Issue a link register

For every link, provide the destination, intended placement, UTM values, owner, start and end context, and approval status. Include examples and invalid examples. Reserve a process for changes so a creator or operator does not silently alter the taxonomy.

4. Validate before use and review after

Check that URLs resolve to the approved destination, parameters are encoded correctly, and the same source is not represented by several names. After the campaign, compare link usage against the register and record any taxonomy correction for the next brief.

Hard rules

  • Do not create tracking links for unapproved destinations or campaigns.
  • Never put personal data, sensitive information, customer names, or private identifiers in UTM values.
  • Do not treat UTM tags as proof of conversion or causation.
  • Preserve existing analytics conventions unless an authorised owner approves a change.
  • Keep affiliate, paid, organic, creator, and partner traffic distinguishable.

Failure modes

FailureDo this instead
Every team member invents namesPublish one controlled vocabulary and a shared register.
Parameters contain personal or sensitive dataUse a non-identifying campaign label and keep sensitive data out of URLs.
A short link hides an unverified destinationValidate the final redirect and approved landing page before sharing.
Reports blend creator and paid trafficAssign separate medium/source values and preserve them in the register.

Where it sits

Use campaign-brief to establish the campaign and paid-social-brief or influencer-partnerships to identify placements. Use this skill before cross-platform-distribution goes live. Use social-analytics-report and launch-retrospective to interpret the resulting labelled traffic honestly.

Frequently asked questions

What does the Utm Campaign Plan AI skill do?

Use when a campaign needs a consistent, approved way to label links so the team can distinguish sources and make later reporting possible. Trigger phrases include "plan our UTMs", "name campaign links", "make tracking links", "how should we tag creator links?", and "set up attribution for this launch". Do not use this to claim analytics access, create tracking without consent or policy review, or decide campaign strategy; use campaign-brief for the campaign source, paid-social-brief for media requirements, and social-analytics-report to interpret available data.

Why use Utm Campaign Plan on TypingMind?

Because you install it once and use it with any model. Utm Campaign Plan 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 Utm Campaign Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ootto-AI/claude-content-skills/tree/main/skills/utm-campaign-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Utm Campaign Plan?

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 Utm Campaign Plan?

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

Is the Utm Campaign Plan AI skill free?

Yes. It is published on GitHub by Ootto-AI under the MIT 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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