Customer Journey Mapper

Organization

OneWave-AI

customer-journey-mapper

Maps the full customer journey from first touch to advocacy. Generates a comprehensive customer-journey.md with all stages, touchpoints, emotions, pain points, opportunities, Mermaid diagrams, and metrics. Use when mapping customer experience, designing onboarding flows, identifying churn risks, or optimizing conversion funnels.

Overview

Publisher	OneWave-AI
Repository	`claude-skills`
Skill name	`customer-journey-mapper`
Stars	293
Forks	49
Bundled files	4
License	MIT
Links	Skill source Repository Homepage

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by OneWave-AI on GitHub. Read the source before you install it.

Installation

Install the Customer Journey Mapper 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.

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/OneWave-AI/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/customer-journey-mapper .claude/skills/customer-journey-mapper

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

Use it in TypingMind

Enable Customer Journey Mapper 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 Customer Journey Mapper 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 Customer Journey Mapper 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.

Customer Journey Mapper

Produce a comprehensive, actionable customer journey map spanning every stage from initial awareness through long-term advocacy.

references/journey-stages.md — the seven stages and the dimensions to analyze for each
references/output-template.md — exact structure for the generated customer-journey.md
references/mermaid-diagrams.md — both required Mermaid diagrams and the satisfaction scoring guide
references/examples.md — invocation examples, research protocol, and ambiguity handling

Workflow

Collect inputs. Gather Product/Service, Target Persona, Touchpoints (optional), and Channels. When any are missing, infer reasonable values and document the assumptions at the top of the output. Ask one clarifying question only when the product type is genuinely unclear.
Research context. Use WebSearch to ground the map in real reviews, complaints, competitor comparisons, and industry patterns. See references/examples.md for the research protocol.
Map all seven stages. Build a detailed stage-by-stage analysis covering Awareness, Consideration, Decision, Onboarding, Retention, Expansion, and Advocacy. See references/journey-stages.md for the dimensions to cover per stage.
Identify opportunities. Surface pain points, emotional states, and improvement opportunities at every stage. Include honest friction even in generally positive stages, and cross-reference how one stage's issues create downstream effects.
Generate the deliverable. Write customer-journey.md to the current working directory following references/output-template.md. Include both Mermaid diagrams per references/mermaid-diagrams.md.

Required Inputs

Input	Description	Example
Product/Service	What is being sold or offered	"B2B SaaS project management tool"
Target Persona	Who the primary customer is	"VP of Engineering at mid-market companies, 200-1000 employees"
Touchpoints	Known interaction points (optional)	"Google search, blog, demo request, sales call, onboarding email sequence"
Channels	Active marketing/sales/support channels	"Website, email, LinkedIn, phone, in-app, Slack community"

Quality Requirements

Minimum 400 lines of substantive content, not padded whitespace.
Specificity: Tie every touchpoint, pain point, and opportunity to the given product and persona — no generic filler.
Actionability: Make recommendations concrete enough to begin implementation immediately.
Measurable metrics: State how each metric is actually measured, not just what to measure.
Emotional realism: Reflect genuine customer psychology, not idealized happy paths.
Honest pain points: Include real friction even in positive stages.
No emojis anywhere in the output document.
Mermaid validity: Use valid syntax that renders correctly.
Consistent voice: Keep professional, strategic language throughout — a working document for product and marketing teams.
Cross-references: Connect each stage's issues to their downstream effects.

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 Customer Journey Mapper AI skill do?

Why use Customer Journey Mapper on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OneWave-AI/claude-skills/tree/main/customer-journey-mapper. 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 Customer Journey Mapper?

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 Customer Journey Mapper?

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

Is the Customer Journey Mapper AI skill free?

Yes. It is published on GitHub by OneWave-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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Customer Journey Mapper

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Customer Journey Mapper

Contents

Workflow

Required Inputs

Quality Requirements

Bundled files

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Customer Journey Mapper

Contents

Workflow

Required Inputs

Quality Requirements

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now