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Sddesign

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educlopez
sddesign

Full spec-driven pipeline — walks brief → tokens → shape (spec) → craft (build) → converge → ship in one guided run. Writes `.ui-craft/spec.md`. Run when starting a net-new surface from scratch. Invoke when the user asks for sddesign on their UI, or mentions 'sddesign' alongside design / UI / frontend work.

Overview

Publishereduclopez
Repositoryui-craft
Skill namesddesign
Stars
344
Forks
17
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 educlopez on GitHub. Read the source before you install it.

Installation

Install the Sddesign 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/educlopez/ui-craft.git /tmp/ui-craft
mkdir -p .claude/skills
cp -r /tmp/ui-craft/cli/assets/codex/skills/sddesign .claude/skills/sddesign
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sddesign 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 Sddesign 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 Sddesign 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.

Context: this sub-skill is one lens of the broader ui-craft skill. If the ui-craft skill is also installed, read its SKILL.md first for Discovery + Anti-Slop + Craft Test, then apply the specific lens below.

Run the spec-driven design pipeline for $ARGUMENTS. Load the ui-craft skill.


ORCHESTRATE-ONLY RULE

This command sequences existing phase commands. It MUST NOT re-implement or duplicate any logic from them. Every composition rule, wireframe algorithm, craft rule, and convergence engine lives in the phase commands. This command contributes only:

  1. Gate detection (does the artifact exist?)
  2. Offer prompts (run phase X or skip?)
  3. Progress reporting (the checklist)
  4. Degraded-mode honesty (what was skipped and what that costs)

When in doubt: call the phase command, don't inline its steps.


Progress Checklist

Print this at the start and update it after each gate resolves:

[ ] brief   [ ] tokens   [ ] shape (spec)   [ ] craft (build)   [ ] converge   [ ] ship

Use [✓] for completed/skipped-with-artifact, [>] for the current gate, [–] for skipped-without-artifact (degraded).


Pipeline Gates

Gate 1 — Brief

Check: does .ui-craft/brief.md exist?

If yes: mark [✓] brief. Note that brief §6 learned constraints and the a11y/correctness floor are in effect for all downstream gates — they take precedence over any spec.md composition choice.

If no: offer to run /brief now.

  • User confirms → run /brief. When it completes, mark [✓] brief.
  • User declines → mark [–] brief. Note downstream impact: "no brief → craft will use skill defaults; composition will not be anchored to project principles."

Gate 2 — Tokens

Check: does a token spine exist? (Look for CSS variables --color-*, --font-*, --accent-*, a Tailwind theme.extend with tokens, or a token file.)

If yes: mark [✓] tokens.

If no: offer to run /tokens now.

  • User confirms → run /tokens. When it completes, mark [✓] tokens.
  • User declines → mark [–] tokens. Note downstream impact: "no token spine → craft will establish a minimal inline token set; it won't match an existing system."

Gate 3 — Shape (spec)

Existing-surface guard: Before running /shape, check if .ui-craft/spec.md already contains a ## Surface: <name> block for this surface. If it does, do NOT re-run shape and blindly append a duplicate section — offer to update the existing section or skip shape (the spec already exists).

Run /shape for the surface described in $ARGUMENTS. Shape produces its full five-step output (content inventory, ASCII layout, state list, open questions).

Persist in pipeline (default): Inside the /sddesign pipeline, shape's Step 6 spec persist is the default — it is auto-confirmed unless the user explicitly opts out of the spec gate. The persist writes .ui-craft/spec.md (or appends the surface section). This is the whole point of the pipeline.

  • Persist completes → .ui-craft/spec.md is written (or the surface section is appended). Mark [✓] shape (spec).
  • User explicitly opts out of persist → mark [–] shape (spec, unsaved). Note downstream impact: "no spec.md → craft (build) will build against shape's printed output; acceptance bar will not be persisted."

Gate 4 — Craft (build)

Run /craft <surface> where <surface> matches the description in $ARGUMENTS.

/craft declares the Craft Read (references/craft-intent.md) before building — surface kind, audience, theme/accent, DESIGN_VARIANCE, and the one signature bet. The signature bet is built inside this gate, not deferred to converge or polish. If the spec section names a composition, the Craft Read must be consistent with it.

/craft loads .ui-craft/spec.md before building. If [✓] shape (spec) was set, the spec's chosen composition, component inventory, state lattice, and acceptance bar take precedence over recipe defaults — every acceptance bar item from the spec must be green before craft reports done.

If [–] shape (spec, unsaved), craft builds against the shape output printed to the terminal. Note in the checklist.

Mark [✓] craft (build) when the build completes.

Gate 5 — Converge

Run the visual-anti-slop preset from ../skills/ui-craft/references/loops.md. This iterates — evaluate → fix one → re-evaluate — until the zero-critical gate passes or the budget is exhausted (default budget: 3 iterations).

  • If the loop gate passes (zero critical findings) → mark [✓] converge.
  • If budget exhausted with open findings → mark [>] converge (open findings). List unresolved findings from the loop report.

Gate 6 — Ship

Run /finalize verdict. Finalize reports READY / NOT READY / BLOCKED based on the 10-pass finish bar and the brief/token gate.

Print the final verdict and the complete resolved checklist:

[✓] brief   [✓] tokens   [✓] shape (spec)   [✓] craft (build)   [✓] converge   [✓] ship

Degraded-mode honesty. If any gate was marked [–], list them in the ship verdict with their downstream impacts:

"Skipped gates: tokens (skipped) → token spine not validated; shape (spec, unsaved) → acceptance bar not persisted. These gaps reduce the ship verdict's confidence."


Precedence

Brief §6 learned constraints and the a11y/correctness floor take precedence over spec.md composition choices at every gate. If a constraint conflicts with a spec.md decision, the constraint wins — update the spec section to reflect the winning choice and note the brief §6 reference.

Next step: Ship. The pipeline already walked rungs 1 to 3; .ui-craft/spec.md is the record for the next session.

Frequently asked questions

What does the Sddesign AI skill do?

Full spec-driven pipeline — walks brief → tokens → shape (spec) → craft (build) → converge → ship in one guided run. Writes `.ui-craft/spec.md`. Run when starting a net-new surface from scratch. Invoke when the user asks for sddesign on their UI, or mentions 'sddesign' alongside design / UI / frontend work.

Why use Sddesign on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/educlopez/ui-craft/tree/main/cli/assets/codex/skills/sddesign. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sddesign?

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 Sddesign?

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

Is the Sddesign AI skill free?

Yes. It is published on GitHub by educlopez 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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