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Solution Design

Community
thiientv
solution-design

Explores ambiguous product or engineering intent before implementation, clarifies users, constraints, alternatives, risks, and acceptance criteria, and turns the result into an approved design direction. Use for a new feature, subsystem, creative UI, architecture change, or unclear request. Not for an already-scoped bug fix, an existing implementation plan, or a narrow code review.

Overview

Publisherthiientv
Repositorygodmode
Skill namesolution-design
Stars
99
Forks
76
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by thiientv on GitHub. Read the source before you install it.

Installation

Install the Solution Design 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/thiientv/godmode/tree/main/skills/solution-design
  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/thiientv/godmode.git /tmp/godmode
mkdir -p .claude/skills
cp -r /tmp/godmode/skills/solution-design .claude/skills/solution-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Solution Design 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 Solution Design 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 Solution Design 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.

Solution Design

Make the problem concrete before choosing the solution. The goal is shared understanding, not a long ceremony.

Classify the request

  • Spike: the output is a recommendation or feasibility result; keep any prototype disposable.
  • Bounded: an existing flow is understood and the change is narrow; use a short design and one approval gate.
  • Architectural: the request creates a subsystem, changes a public contract, or has several independent surfaces; write a design artifact.

When uncertain, choose the heavier path until discovery proves otherwise.

Explore in order

  1. Read repository instructions, nearby code, tests, and recent changes.
  2. Separate observed facts from assumptions and unknowns.
  3. Ask only the questions that change scope, safety, data shape, or user outcome. Ask one focused question at a time when a conversation is needed.
  4. State the outcome, users, constraints, non-goals, acceptance evidence, and principal risks.
  5. Compare two or three viable approaches when the choice is material. Explain the trade-off and recommend the smallest safe option.
  6. Present the design at the depth the request requires. Get approval before consequential implementation when the user has not already authorized it.

Use discovery-questions.md when the brief has unclear goals or competing stakeholders.

Design artifact

For architectural work, save a concise design under the repository's normal docs location. Include:

text
Problem and users
Outcome and non-goals
Constraints and assumptions
Options considered and recommendation
Interfaces and data affected
Failure modes and rollback
Acceptance evidence
Open decisions

Do not start implementation while a decision that materially changes the public behavior, data model, or safety boundary is unresolved.

Handoff

  • Hand an approved multi-step design to implementation-planning.
  • Hand a concrete failure to root-cause-debugging.
  • Add a domain skill only when its expertise changes the design.

Completion condition

Solution design is complete when the outcome, scope, constraints, acceptance evidence, risks, and next decision are explicit. A polished idea without a testable outcome is not a completed design.

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 Solution Design AI skill do?

Explores ambiguous product or engineering intent before implementation, clarifies users, constraints, alternatives, risks, and acceptance criteria, and turns the result into an approved design direction. Use for a new feature, subsystem, creative UI, architecture change, or unclear request. Not for an already-scoped bug fix, an existing implementation plan, or a narrow code review.

Why use Solution Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thiientv/godmode/tree/main/skills/solution-design. 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 Solution Design?

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 Solution Design?

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

Is the Solution Design AI skill free?

Yes. It is published on GitHub by thiientv 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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