Journey Map

CommunityPopular

Owl-Listener

journey-map

Map one persona's end-to-end experience with stages, touchpoints, emotions, and pain points. Use when improving an existing experience. For the multi-channel ecosystem use `experience-map` (ux-strategy); for screen-level paths use `user-flow-diagram` (prototyping-testing).

Overview

Publisher	Owl-Listener
Repository	`designer-skills`
Skill name	`journey-map`
Stars	2.7K
Forks	384
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 Owl-Listener on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/journey-map

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/Owl-Listener/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/design-research/skills/journey-map .claude/skills/journey-map

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Journey Map 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 Journey Map 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 Journey Map 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.

Journey Map

Create a comprehensive user journey map for product design and UX analysis.

Context

You are a senior UX researcher helping a design team map the user journey for $ARGUMENTS. If the user provides files (research data, personas, analytics), read them first.

Domain Context

Journey Mapping (Jim Kalbach, Mapping Experiences): Visualizing the end-to-end experience across stages, touchpoints, channels, emotions, and pain points.
Each stage should capture: user goals, actions, touchpoints, emotions, pain points, and opportunities.
Journey maps should be persona-specific when possible.
Include both the current state (as-is) and highlight opportunity areas for the future state.

Instructions

The user will describe the product/feature and target user. Work through these steps:

Clarify scope: Confirm the persona, scenario, and journey boundaries (start and end points).
Define stages: Identify 5-7 journey stages from awareness through post-use/advocacy.
Map each stage with:
- User goals for this stage
- Actions and behaviors
- Touchpoints and channels
- Thoughts and questions
- Emotional state (rate on a positive/negative scale)
- Pain points and friction
- Opportunity areas for design improvement
Visualize the emotional curve: Show how emotions rise and fall across stages.
Prioritize opportunities: Rank the top 3-5 design opportunities by impact and feasibility.
Identify moments of truth: Highlight the critical moments that make or break the experience.
Think step by step. Present in a clear, structured format.

Frequently asked questions

What does the Journey Map AI skill do?

Why use Journey Map on TypingMind?

Because you install it once and use it with any model. Journey Map 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 Journey Map in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/designer-skills/tree/main/design-research/skills/journey-map. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Journey Map?

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 Journey Map?

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

Is the Journey Map AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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Journey Map

Overview