Jtbd

Community

neurofoo

jtbd

Jobs to Be Done analysis to understand what customers really want. Use for product discovery, competitive analysis, or understanding why customers hire/fire solutions.

Overview

Publisher	neurofoo
Repository	`agent-skills`
Skill name	`jtbd`
Stars	123
Forks	19
Bundled files	3
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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by neurofoo on GitHub. Read the source before you install it.

Installation

Install the Jtbd 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.
https://github.com/neurofoo/agent-skills/tree/main/jtbd
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/neurofoo/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/jtbd .claude/skills/jtbd

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

Use it in TypingMind

Enable Jtbd 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 Jtbd 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 Jtbd 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.

Jobs to Be Done Analysis

Analyze a product, feature, or situation through the Jobs to Be Done framework to understand what customers really want.

Instructions

Identify the underlying jobs customers are trying to accomplish, including functional, emotional, and social dimensions. Consider the full context of when and why they "hire" solutions.

Output Format

Subject: [Product/feature/situation being analyzed]

The Context

When does the job arise? [Describe the triggering situation or circumstance]

Who has this job? [Customer segments or personas]

How are they currently solving it? [Existing solutions, competitors, or workarounds]

Job Statement

Core Job

When [situation], I want to [motivation], so I can [expected outcome].

Job Dimensions

Functional Job

The practical task they're trying to complete

Job	Importance	Current Solution
[functional job 1]	High/Med/Low	[how they do it now]

Emotional Job

How they want to feel

Feeling They Want	Feeling They Want to Avoid
[positive emotion]	[negative emotion]

Social Job

How they want to be perceived

How They Want to Be Seen	By Whom
[perception]	[audience]

Forces Analysis

Forces pushing toward change

Force	Strength
Push: Frustration with current solution	[description]
Pull: Attraction of new solution	[description]

Forces resisting change

Force	Strength
Anxiety: Fear about new solution	[description]
Inertia: Comfort with current way	[description]

Compensating Behaviors

What workarounds do people use when no good solution exists?

Workaround	Why They Do It	What It Reveals
[behavior]	[reason]	[insight]

Competitive Alternatives

Competition is anything that could be hired for this job

Alternative	When It Gets Hired	Strengths	Weaknesses
[competitor]	[situation]	[pros]	[cons]
[do nothing]	[situation]	[pros]	[cons]

Insights

The real job is... [What you've learned about what customers actually want]

Current solutions fail because... [Gaps in existing solutions]

Opportunity areas... [Where better solutions could win]

Guidelines

Jobs are stable; solutions change. Focus on the job, not the product.
"Do nothing" is always a competitor
Emotional and social jobs often matter more than functional ones
The circumstance matters as much as the job itself

$ARGUMENTS

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 Jtbd AI skill do?

Jobs to Be Done analysis to understand what customers really want. Use for product discovery, competitive analysis, or understanding why customers hire/fire solutions.

Why use Jtbd on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/neurofoo/agent-skills/tree/main/jtbd. 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 Jtbd?

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 Jtbd?

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

Is the Jtbd AI skill free?

Yes. It is published on GitHub by neurofoo 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Jobs to Be Done Analysis

Instructions

Output Format

The Context

Job Statement

Job Dimensions

Functional Job

Emotional Job

Social Job

Forces Analysis

Compensating Behaviors

Competitive Alternatives

Insights

Guidelines

Bundled files

Frequently asked questions

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