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Design

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jeremylongshore
design

Use when the user wants the visual/experiential design of a product done systematically — a design system, a screen, a landing page, or a visual identity — grounded in researched real-world prior art and free of AI slop. Establishes/extends the design system, invokes the matching local taste skill, dispatches the designer specialist, and reviews for taste + accessibility. Standalone — ends with a handoff gate into the chain. Trigger with /hyperflow:design, "design the UI", "make a design system", "design this screen", "give this a visual identity", "redesign this".

Overview

Publisherjeremylongshore
Repositorytons-of-skills-marketplace
Skill namedesign
Stars
2.8K
Forks
402
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 jeremylongshore on GitHub. Read the source before you install it.

Installation

Install the 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.
  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/jeremylongshore/tons-of-skills-marketplace.git /tmp/tons-of-skills-marketplace
mkdir -p .claude/skills
cp -r /tmp/tons-of-skills-marketplace/plugins/ai-agency/hyperflow/skills/design .claude/skills/design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Design

Systematic, anti-slop product design. All agents inherit the session model. Reviewers bold-labeled; Workers plain.

This skill exercises Layer 4 (Brainstorming/Spec) and the design layer of Layer 0 (Project Analysis). It is thinking, not building — no source code is written here. The only writes are to .hyperflow/design/system.md and .hyperflow/specs/. It ends with a handoff gate into /hyperflow:plan/hyperflow:dispatch for the build.

Iron Rules

  • Design system first. Every run establishes or extends .hyperflow/design/system.md before designing a screen, per ../hyperflow/design-system.md. The system is created once and extended, never regenerated.
  • Researched, not invented. Ground every direction in ≥2 real products from the project's field, combine them, then diverge with one deliberate signature (the method in design-system.md).
  • Local taste skills are invoked live. The main session calls Skill to invoke the matching taste skill; the dispatched designer agent Reads the SKILL.md and applies it (it has no Skill tool).
  • Per-step agents (DOCTRINE rule 12). No inline design — the designer specialist does the work; an accessibility-reviewer pass gates the result.
  • No code in the design phase. Design produces a system file and a design spec; dispatch executes them.
  • Failure recovery (DOCTRINE rule 14) per ../hyperflow/failure-recovery.md.
  • No AI attribution in any file written.

Per-Step Agent Map (DOCTRINE rule 12)

StepSub-phaseWorkersReviewersNotes
1 — TriageMechanical classification (exempt) per ../hyperflow/task-triage.md
2 — Design system2a — establish/extend .hyperflow/design/system.mddesignerReviewerCreates if missing; extends if present
3 — Research + direction3a — prior-art research + combine + divergedesigner (fan-out ≤ 3 by dimension)ReviewerWeb-research-first; ≥2 references
4 — Design spec4a — translate direction into tokens/specdesignerReviewerWritten to .hyperflow/specs/<slug>.md
5 — Taste + a11y reviewdesigner verdict + accessibility-reviewerAnti-slop floor + WCAG floor
6 — Handoff gateAskUserQuestion only (exempt — structural gate)

Approval Gates

GateWhenFormat
Handoff gateStep 6, after the spec is writtenAskUserQuestion — build now / plan first / stop

Flow

Step 1 — Triage

Classify the request per ../hyperflow/task-triage.md. types will include ui and/or creative; the Brain confirms designer on the roster.

Step 2 — Design system

Read .hyperflow/design/system.md. If missing, dispatch designer — establish design system to create it (domain, tokens, type scale, spacing, motion, voice, components, references, anti-patterns) per design-system.md. If present, dispatch designer — extend design system to add only what this brief needs. Then **Reviewer** — design-system coverage check.

Step 3 — Research + direction

Invoke the matching local taste skill(s) live via Skill (per the index in design-system.md). Then dispatch designer — research prior art + propose direction (fan-out ≤ 3 by visual language / motion+interaction / IA when the surface is broad): study ≥2 real systems in the field, combine, diverge with one named signature. Then **Reviewer** — direction grounding check (≥2 references combined, not copied; signature is deliberate).

Step 4 — Design spec

Dispatch designer — author design spec to translate the chosen direction into the bound design-system tokens and write it to .hyperflow/specs/<slug>.md (format per ../hyperflow/artefact-format.md). Then **Reviewer** — spec sanity check.

Step 5 — Taste + accessibility review

Dispatch in parallel: **designer** — taste verdict (anti-slop floor) ∥ **accessibility-reviewer** — a11y floor (WCAG AA, focus, reduced-motion, RTL). On a11y conflict, the floor wins (Step 5 defers to the a11y verdict).

Step 6 — Handoff gate (STRUCTURAL GATE · DOCTRINE rule 8)

?  Design spec ready at .hyperflow/specs/<slug>.md — build it?

   Build now (Recommended)  — chain to /hyperflow:plan → /hyperflow:dispatch
   Plan first               — open /hyperflow:plan to decompose without building yet
   Stop                     — leave the spec; build later

On Build now → invoke Skill with skill: plan and args: "session=one spec=.hyperflow/specs/<slug>.md". On Plan first → invoke plan without auto-dispatch. On Stop → print one line and stop. If AskUserQuestion is unavailable, print the gate as a Hyperflow Question block and wait — never auto-build silently.

Output Format

Two outputs:

  1. The design system at .hyperflow/design/system.md — living token document (created or extended this run).
  2. The design spec at .hyperflow/specs/<slug>.md — the direction, tokens, signature, and References: block.

Chat shows one status box pointing at the files, never the token dump (file-first, rule 8):

── Design Result ─────────────────────
Brief:    <one line>
System:   .hyperflow/design/system.md (created | extended)
Spec:     .hyperflow/specs/<slug>.md
Verdict:  taste PASS · a11y PASS
─────────────────────────────────────

Hand-off

  • Plan it — auto-chain to /hyperflow:plan for decomposition; plan then stops at its build-location gate and asks where to build (it never auto-implements).
  • Stop — spec persists for a later build.

Doctrine

Full rules in DOCTRINE.md. Design method, taste-skill index, and anti-slop floor in design-system.md. Persona standards (ui, creative) in personas-A.md — bound by the designer, never restated.

Overview

/hyperflow:design runs systematic product design: it establishes or extends the project's design system, researches real-world prior art in the project's field, invokes the matching local taste skill, dispatches the designer specialist to combine references and diverge with one deliberate signature, and gates the result on a taste + accessibility review before handing off to the build chain.

Prerequisites

  • .hyperflow/ cache recommended (Layer 0 analysis improves design context). Run /hyperflow:scaffold first if missing.
  • Local taste skills installed under ~/.claude/skills/ (the skill degrades gracefully to the anti-slop floor in design-system.md when a specific taste skill is absent).

Frequently asked questions

What does the Design AI skill do?

Use when the user wants the visual/experiential design of a product done systematically — a design system, a screen, a landing page, or a visual identity — grounded in researched real-world prior art and free of AI slop. Establishes/extends the design system, invokes the matching local taste skill, dispatches the designer specialist, and reviews for taste + accessibility. Standalone — ends with a handoff gate into the chain. Trigger with /hyperflow:design, "design the UI", "make a design system", "design this screen", "give this a visual identity", "redesign this".

Why use Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/hyperflow/skills/design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Design?

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

Is the Design AI skill free?

Yes. It is published on GitHub by jeremylongshore 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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