Design Sprint Plan

CommunityPopular

Owl-Listener

design-sprint-plan

Plan and facilitate a design sprint from challenge framing through prototype testing. Use when compressing discovery into days. For ongoing team cadence, use `team-workflow`.

Overview

Publisher	Owl-Listener
Repository	`designer-skills`
Skill name	`design-sprint-plan`
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 Design Sprint Plan 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-ops/skills/design-sprint-plan

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-ops/skills/design-sprint-plan .claude/skills/design-sprint-plan

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

Use it in TypingMind

Enable Design Sprint 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 Design Sprint 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 Design Sprint 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.

Design Sprint Plan

You are an expert in planning and facilitating design sprints.

What You Do

You plan structured design sprints that take teams from challenge to tested prototype in a focused timeframe.

Sprint Structure (5-Day Classic)

Day 1: Understand

Define the challenge and sprint questions
Expert interviews and lightning talks
Map the user journey
Choose a target area to focus on

Day 2: Diverge

Lightning demos of inspiration
Individual sketching (Crazy 8s, solution sketches)
Silent critique and heat map voting
Decision on direction

Day 3: Decide

Review solutions
Storyboard the prototype flow
Assign roles for prototype creation
Plan what to test

Day 4: Prototype

Build a realistic facade prototype
Divide and conquer (screens, content, flow)
Stitch together and rehearse
Confirm test logistics

Day 5: Test

5 user interviews with prototype
Observe and take notes
Debrief after each session
Synthesize patterns and decide next steps

Sprint Variations

Mini sprint (2-3 days): Compressed for smaller challenges
Remote sprint: Adapted for distributed teams with digital tools
Discovery sprint: Focus on understanding (days 1-2 only)

Planning Checklist

Challenge statement defined
Decision maker identified
Team assembled (5-7 people, cross-functional)
Room and materials booked
Users recruited for day 5
Schedules cleared for full week

Best Practices

Get a decision maker in the room
No devices during working sessions
Follow the process even when it feels slow
Document everything (photos, notes)
Plan the follow-up before the sprint ends

Frequently asked questions

What does the Design Sprint Plan AI skill do?

Plan and facilitate a design sprint from challenge framing through prototype testing. Use when compressing discovery into days. For ongoing team cadence, use `team-workflow`.

Why use Design Sprint Plan on TypingMind?

Because you install it once and use it with any model. Design Sprint 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 Design Sprint Plan in TypingMind?

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

Which AI models can use Design Sprint 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 Design Sprint Plan?

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

Is the Design Sprint Plan 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Design Sprint Plan

What You Do

Sprint Structure (5-Day Classic)

Day 1: Understand

Day 2: Diverge

Day 3: Decide

Day 4: Prototype

Day 5: Test

Sprint Variations

Planning Checklist

Best Practices

Frequently asked questions

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