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Quick Design

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Donchitos
quick-design

Lightweight spec for small changes — tuning adjustments, minor mechanics. Embeds directly into stories; skips full GDD.

Overview

PublisherDonchitos
RepositoryClaude-Code-Game-Studios
Skill namequick-design
Stars
25.8K
Forks
3.7K
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 Donchitos on GitHub. Read the source before you install it.

Installation

Install the Quick 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/Donchitos/Claude-Code-Game-Studios/tree/main/.claude/skills/quick-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/Donchitos/Claude-Code-Game-Studios.git /tmp/Claude-Code-Game-Studios
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Game-Studios/.claude/skills/quick-design .claude/skills/quick-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Quick 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 Quick 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 Quick 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.

!bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys automation,workflow

Quick Design

This is the lightweight design path for changes that don't need a full GDD. Full GDD authoring via /design-system is the heavyweight path. Use this skill for work under about one week of implementation — tuning adjustments, minor behavioral tweaks, small additions to existing systems, or standalone features too small to warrant a full document. Most tweaks are hours; the one-week ceiling is the limit for a New Small System (see the categories below).

Output: design/quick-specs/[name]-[date].md

When to run: Anytime a change is too small for /design-system but too meaningful to implement without a written rationale.


Every AskUserQuestion call follows .claude/docs/automation-modes.md (collaborative asks always · guided major-only · autonomous logs and proceeds; automation_always_ask categories always prompt).

1. Classify the Change

First, read the argument and determine which category this change falls into:

  • Tuning — changing numbers or balance values in an existing system with no behavioral change (most minimal path). Example: "increase jump height from 5 to 6 units", "reduce enemy patrol speed by 10%".
  • Tweak — a small behavioral change to an existing system that introduces no new states, branches, or systems. Example: "make dash invincible on frame 1", "allow combo to cancel into roll".
  • Addition — adding a small mechanic to an existing system that may introduce 1-2 new states or interactions. Example: "add a parry window to the block mechanic", "add a charge variant to the basic attack".
  • New Small System — a standalone feature small enough that it has no existing GDD and is under approximately one week of implementation work. Example: "achievement popup system", "simple day/night visual cycle".

If the change does NOT fit these categories — it introduces a new system with significant cross-system dependencies, requires more than one week of implementation, or fundamentally alters an existing system's core rules — stop and redirect to /design-system instead. Verdict: REDIRECTED — use /design-system for this change.

If there is no argument, ask the user to describe the change (plain text prompt), then classify it using the criteria above.

Present the inferred classification using AskUserQuestion:

  • Prompt: "I've classified this as [inferred type] — [brief reason]. Is that correct?"
  • Options:
    • [A] Yes — [inferred type] is correct
    • [B] Tuning — changing numbers or balance values only
    • [C] Tweak — small behavioral change to an existing system
    • [D] Addition — adding a small mechanic to an existing system
    • [E] New Small System — standalone feature, under one week of work
    • [F] This is too large — redirect me to /design-system

If [F]: stop. Verdict: REDIRECTED — use /design-system for this change. Otherwise: proceed with the selected type.


2. Context Scan

Before drafting anything, read the relevant context:

  • Search design/gdd/ for the GDD most relevant to this change. Read the sections that this change would affect. If no GDD covers this system — usually the case at workflow: minimal, where design/game-brief.md and the stories are the design record — read the brief's lines for it and the story the change touches instead, report "No GDD for [system] — using the brief and [story path]", and give the brief as the spec's GDD Reference.
  • Check whether design/gdd/systems-index.md exists. If it does, read it to understand where this system sits in the dependency graph and what tier it belongs to. If it does not exist, note "No systems index found — skipping dependency tier check." and continue.
  • Check design/quick-specs/ for any prior quick specs that touched this system — avoid contradicting them.
  • If this is a Tuning change, also check assets/data/ for the data file that holds the relevant values.

Report what was found: "Found GDD at [path]. Relevant section: [section name]. Prior quick specs for this system: [each path, and whether it agrees or conflicts with this change — or "none"]." Name a prior spec even when it agrees — "no conflicts" alone reads the same as "no prior specs".


3. Draft the Quick Design Spec

Use the appropriate spec format for the change category.

For Tuning changes

Produce a single table:

markdown
# Quick Design Spec: [Title]

**Type**: Tuning
**System**: [System name]
**GDD Reference**: `design/gdd/[filename].md` — Tuning Knobs section
**Date**: [today]

## Change

| Parameter | Old Value | New Value | Rationale |
|-----------|-----------|-----------|-----------|
| [param]   | [old]     | [new]     | [why]     |

## Tuning Knob Mapping

Maps to GDD Tuning Knob: [knob name and its documented range].
New value is [within / at the edge of / outside] the documented range.
[If outside: explain why the range should be extended.]

## Acceptance Criteria

- [ ] [Parameter] reads [new value] from `assets/data/[file]`
- [ ] Behavior difference is observable in [specific context]
- [ ] No regression in [related behavior]

For Tweak and Addition changes

markdown
# Quick Design Spec: [Title]

**Type**: [Tweak / Addition]
**System**: [System name]
**GDD Reference**: `design/gdd/[filename].md`
**Date**: [today]

## Change Summary

[1-2 sentences describing what changes and why.]

## Motivation

[Why is this change needed? What player experience problem does it solve?
Reference the relevant MDA aesthetic or player feedback if applicable.]

## Design Delta

Current GDD says (quoting `design/gdd/[filename].md`, [section]):

> [exact quote of the relevant rule or description]

This spec changes that to:

[New rule or description, written with the same precision as a GDD Detailed
Rules section. A programmer should be able to implement from this text alone.]

## New Rules / Values

[Full unambiguous statement of the replacement content. If this introduces
new states, list them. If it introduces new parameters, define their ranges.]

## Affected Systems

| System | Impact | Action Required |
|--------|--------|-----------------|
| [system] | [how it is affected] | [update GDD / update data file / no action] |

## Acceptance Criteria

- [ ] [Specific, testable criterion 1]
- [ ] [Specific, testable criterion 2]
- [ ] [Specific, testable criterion 3]
- [ ] No regression: [the original behavior this must not break]

## GDD Update Required?

[Yes / No]
[If yes: which file, which section, and what the update should say.]

For New Small System changes

Use a trimmed GDD structure. Include only the sections that are directly necessary — skip Player Fantasy, full Formulas, and Edge Cases unless the system specifically requires them.

markdown
# Quick Design Spec: [Title]

**Type**: New Small System
**Scope**: [1-2 sentence description of what this system does and doesn't do]
**Date**: [today]
**Estimated Implementation**: [hours]

## Overview

[One paragraph a new team member could understand. What does this system do,
when does it activate, and what does it produce?]

## Core Rules

[Unambiguous rules for the system. Use numbered lists for sequential behavior
and bullet lists for conditions. Be precise enough that a programmer can
implement without asking questions.]

## Tuning Knobs

| Knob | Default | Range | Category | Rationale |
|------|---------|-------|----------|-----------|
| [name] | [value] | [min–max] | [feel/curve/gate] | [why this default] |

All values must live in `assets/data/[appropriate-file].json`, not hardcoded.

## Acceptance Criteria

- [ ] [Functional criterion: does the right thing]
- [ ] [Functional criterion: handles the edge case]
- [ ] [Experiential criterion: feels right — what a playtest validates]
- [ ] [Regression criterion: does not break adjacent system]

## Systems Index

This system is not currently in `design/gdd/systems-index.md`.
[If it should be added: suggest which layer and priority tier.]
[If it is too small to track: state "This system is below systems-index
tracking threshold — quick spec is sufficient."]

4. Approval and Filing

Present the draft to the user in full. Then use AskUserQuestion:

  • Prompt: "Here's the Quick Design Spec draft. How do you want to proceed?"
  • Options:
    • [A] Approve — write it as shown
    • [B] Revise — I'll describe what to change
    • [C] This grew too large — redirect to /design-system instead

If [B]: collect the requested changes, revise the draft, and re-present this widget. If [C]: stop. Verdict: REDIRECTED — use /design-system for this change.

If [A]: ask "May I write this Quick Design Spec to design/quick-specs/[kebab-case-title]-[YYYY-MM-DD].md?"

Use today's date in the filename. The title should be a kebab-case description of the change (e.g., jump-height-tuning-2026-03-10, parry-window-addition-2026-03-10).

If yes, create the design/quick-specs/ directory if it does not exist, then write the file.

If a GDD update is required (flagged in the spec), ask separately after writing the quick spec:

"This spec modifies rules in [System Name]. May I update design/gdd/[filename].md — specifically the [section name] section?"

Show the exact text that would be changed (old vs. new) before asking. Do not make GDD edits without explicit approval.


5. Handoff

After writing the file, output:

Quick Design Spec written to: design/quick-specs/[filename].md
Type: [Tuning / Tweak / Addition / New Small System]
System: [system name]
GDD update: [Required — pending approval / Applied / Not required]

Next step: This spec is ready for `/story-readiness` validation before
implementation (at `workflow: minimal`, go straight to `/dev-story`). Reference this spec in the story's GDD Reference field.

Pipeline Notes

Verdict: COMPLETE — quick design spec written and ready for implementation.

Quick Design Specs bypass /design-review and /review-all-gdds by design. They are for small, low-risk, well-scoped changes where the cost of the full review pipeline exceeds the risk of the change itself.

Redirect to the full pipeline if any of the following are true:

  • The change adds a new system that belongs in the systems index
  • The change significantly alters cross-system behavior or a system's contracts with other systems
  • The change introduces new player-facing mechanics that affect the game's MDA aesthetic balance
  • Implementation is likely to exceed one week of work

In those cases: "This change has grown beyond quick-spec scope. I recommend using /design-system to author a full GDD for this."


Recommended Next Steps

  • Run /story-readiness [story-path] to validate the story before implementation begins (skip at rigor: minimal — /dev-story directly) — reference this spec in the story's GDD Reference field
  • Run /dev-story [story-path] to implement once the story passes readiness checks
  • If the change is larger than expected, run /design-system [system-name] to author a full GDD instead

Frequently asked questions

What does the Quick Design AI skill do?

Lightweight spec for small changes — tuning adjustments, minor mechanics. Embeds directly into stories; skips full GDD.

Why use Quick Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Donchitos/Claude-Code-Game-Studios/tree/main/.claude/skills/quick-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Quick 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 Quick Design?

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

Is the Quick Design AI skill free?

Yes. It is published on GitHub by Donchitos 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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