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Gdd List Assumptions

Community
hegemonart
gdd-list-assumptions

Surfaces hidden design assumptions baked into the codebase before planning - pattern-based detection plus user-surfaced items.

Overview

Publisherhegemonart
Repositoryget-design-done
Skill namegdd-list-assumptions
Stars
3
Forks
1
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Gdd List Assumptions 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/hegemonart/get-design-done/tree/main/scripts/skill-templates/list-assumptions
  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/hegemonart/get-design-done.git /tmp/get-design-done
mkdir -p .claude/skills
cp -r /tmp/get-design-done/scripts/skill-templates/list-assumptions .claude/skills/gdd-list-assumptions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gdd List Assumptions 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 Gdd List Assumptions 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 Gdd List Assumptions 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.

{{command_prefix}}list-assumptions

Role: Surface implicit design assumptions that were never explicitly decided. Output a numbered list tagging each as [EXPLICIT] (found in STATE.md/DESIGN-CONTEXT.md decisions) or [IMPLICIT] (inferred from code patterns).

Step 1 - Read explicit decisions

Read .design/STATE.md <decisions> and .design/DESIGN-CONTEXT.md (if present). Collect every D-XX as [EXPLICIT] entries keyed by category.

Step 2 - Scan codebase for implicit patterns

If --area <name> is given, restrict to that area. Otherwise scan all.

Layout

  • Grep for @media queries → "Is mobile-first or desktop-first assumed?"
  • Grep for grid-template, flex-direction → "Is F-pattern or Z-pattern layout assumed?"

Typography

  • Grep for font-family declarations → "Does the chosen font stack assume brand acceptance?"
  • Grep for font-size: [0-9]+px with varying values → "Is a modular scale assumed or ad-hoc sizing?"

Color

  • Grep for hex literals #[0-9a-fA-F]{3,8} → "Is the palette assumed to be fixed without a token layer?"

Motion

  • Grep for @keyframes, transition, animate → "Does the brand tolerate animation?"
  • Grep for prefers-reduced-motion → "Is reduced-motion honored or assumed ignored?"

A11y

  • Grep for aria-, role=, alt= coverage → "Is WCAG AA the target, or AAA?"
  • Grep for outline: none, outline: 0 → "Are focus rings intentionally removed?"

For each hit, emit Detected assumption: [pattern] at [file:line] and flag as [IMPLICIT].

Step 3 - Output

━━━ Design assumptions ━━━

Typography
  01 [EXPLICIT] D-03: Font family Inter
  02 [IMPLICIT] 18 px font-size values found — scale not explicit (src/Card.css:12, ...)

Color
  03 [IMPLICIT] 47 hex literals — no token layer (see {{command_prefix}}discuss color)

...

N assumptions total — M implicit.
Next: {{command_prefix}}discuss --all to resolve implicit ones.
━━━━━━━━━━━━━━━━━━━━━━━━

LIST-ASSUMPTIONS COMPLETE

Frequently asked questions

What does the Gdd List Assumptions AI skill do?

Surfaces hidden design assumptions baked into the codebase before planning - pattern-based detection plus user-surfaced items.

Why use Gdd List Assumptions on TypingMind?

Because you install it once and use it with any model. Gdd List Assumptions 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 Gdd List Assumptions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hegemonart/get-design-done/tree/main/scripts/skill-templates/list-assumptions. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gdd List Assumptions?

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 Gdd List Assumptions?

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

Is the Gdd List Assumptions AI skill free?

Yes. It is published on GitHub by hegemonart 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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