Start logo

Start

Community
educlopez
start

Front door. Reads the current project (framework, tokens, brief, spec, harness) and reports what ui-craft can do right now, then routes you to the right next step. Run this first if you're new or unsure where to begin. No code changes. Invoke when the user asks for start on their UI, or mentions 'start' alongside design / UI / frontend work.

Overview

Publishereduclopez
Repositoryui-craft
Skill namestart
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 Start 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/start .claude/skills/start
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Start 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 Start 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 Start 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.

Orient the user. Load the ui-craft skill, read the current project, and report what ui-craft can do right now for it. This is the front door — most people run it first.


ORCHESTRATE-ONLY RULE

This command detects state and routes. It MUST NOT build, edit, audit, or re-implement any phase logic. It contributes only:

  1. Project detection (read-only).
  2. A "what's available now" map across the three usage layers.
  3. One recommended next step + the command to run for it.

When the user wants to act, hand off to the real command (/brief, /tokens, /sddesign, /craft, /finalize, the review agents, etc.). Do not inline their steps.


Step 1 — Detect (read-only)

Scan the project. Do not write anything. Gather:

SignalHow to detectUsed for
Framework / stylingpackage.json deps, config files, file extensions — Tailwind, CSS Modules, styled-components/Emotion, vanilla CSS, Vue/Svelte/Astro SFCConfirm ui-craft adapts to this stack
Token spineCSS vars (--color-*, --accent-*, --font-*), Tailwind theme.extend, a token fileGate: is /tokens needed?
Brief.ui-craft/brief.md exists?Gate: is /brief needed?
External design contractDESIGN.md or design-tokens.json at repo root (ecosystem convention some teams use)Treat as brief + token input — read it, honor it, don't duplicate it
Spec.ui-craft/spec.md exists? which surfaces?Is there work in flight?
HarnessClaude Code (plugin/skill) vs .codex/.cursor/.gemini/.opencode/.agents mirrorWhich layers are reachable (agents/MCP are Claude Code / MCP-client only)
Existing UIare there components/pages already, or is this greenfield?Build-new vs review/polish framing

Keep detection fast and quiet — a few reads, no deep traversal. Report findings as a short table.


Step 2 — Report the three layers

Print what's available now, mapped to how people actually use ui-craft. Mark each layer ● active / ○ available / – not reachable in this harness.

ui-craft is a design engineering SYSTEM. You're set up for:

● Layer 1 — Just ask
    Describe any UI and the agent designs with taste (anti-slop, system tokens,
    real hierarchy). No command needed. This is the default and the point.

○ Layer 2 — Drive it
    Slash commands for focused passes. Given THIS project:
      <tailored list — see Step 3>

○ Layer 3 — Verify it
    design-reviewer + a11y-auditor agents · ui-craft-mcp gates · UICraftScore · ui-craft-detect CLI.
    <mark – if the harness can't reach agents/MCP, and say so>

Tailor the bullets to the detected state — don't print the generic catalog.


Step 3 — Recommend ONE next step

Pick the single highest-value next action from detected state. Use this decision order:

  1. No brief, non-trivial project → recommend /brief ("anchor every later decision to your product's principles — 5 min, writes .ui-craft/brief.md").
  2. Brief exists, no token spine → recommend /tokens ("establish the 3-layer token spine so builds match a system, not inline guesses").
  3. Brief + tokens exist, building something net-new → recommend /sddesign <surface> (full pipeline) or /craft <surface> (one-shot) — ask which.
  4. Existing UI to improve → route by intent: review → ui-craft:design-reviewer + ui-craft:a11y-auditor (Claude Code) or /critique + /audit; polish → /polish; simplify → /distill; flat/generic → /bolder; loud/busy → /quieter; dated site to modernize → /redesign.
  5. About to ship / merge → recommend /finalize (10-pass gate) and, for CI, npx ui-craft-detect or the score_ui MCP tool.

Print it as one clear line:

Recommended next: .

Then offer the full menu only if asked: "Want the full command list, or shall I run that now?"


Step 4 — Hand off

If the user confirms, run the recommended command. Otherwise stop — /start never acts on its own. Its job is done once the user knows where they are and where to go.


Notes

  • Read-only. /start writes nothing and changes no code. The artifacts (brief.md, spec.md, tokens) are written by their own commands.
  • Harness honesty. If the project is in a non-Claude-Code harness (.codex, .cursor, etc.), Layer 3 agents and the MCP server may not be reachable from that agent — say so plainly and point to the CLI (ui-craft-detect) as the portable verify path.
  • Craft-intent routing. Full-surface builds (/craft, /sddesign) declare a Craft Read before code. If the user describes a built UI as "generic", "template-y", or "too safe", route to /bolder; if "too loud" or "too busy", route to /quieter.
  • Don't re-run Discovery. If a brief or spec already exists, don't interrogate the user for preferences — read the artifacts and report.

Next step: Follow the rung this run named. /start is read-only — the value is in doing the one command it picked.

Frequently asked questions

What does the Start AI skill do?

Front door. Reads the current project (framework, tokens, brief, spec, harness) and reports what ui-craft can do right now, then routes you to the right next step. Run this first if you're new or unsure where to begin. No code changes. Invoke when the user asks for start on their UI, or mentions 'start' alongside design / UI / frontend work.

Why use Start on TypingMind?

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

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

Which AI models can use Start?

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 Start?

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

Is the Start 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇