Start

Community

hegemonart

start

First-Run Proof Path - one command that scans your UI code and returns one concrete first fix. Leaf command, no STATE.md writes, no pipeline entry. Writes .design/START-REPORT.md and exits.

Overview

Publisher	hegemonart
Repository	`get-design-done`
Skill name	`start`
Stars	3
Forks	1
Bundled files	1
License	MIT
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by hegemonart 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/hegemonart/get-design-done/tree/main/scripts/skill-templates/start
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.

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/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.

Get Design Done - {{command_prefix}}start

Role: the canonical 0→1 proof path. A new user runs {{command_prefix}}start, answers five short questions, and receives .design/START-REPORT.md with three concrete findings in the user's own code, one best_first_proof selected by a deterministic rubric, and a single next command to run.

Non-goals: do NOT write/mutate .design/STATE.md, enter the pipeline state machine, modify source code, auto-install MCPs or run {{command_prefix}}connections, or capture before/after screenshots (that belongs to the full pipeline).

When to use

First time opening a repo with the get-design-done plugin installed.
The user wants a single proof-of-value pass without committing to the pipeline.

When NOT to use

.design/STATE.md already exists - route to {{command_prefix}}progress instead.
User asked for a full audit - route to {{command_prefix}}scan.
User asked to fix a specific file - route to {{command_prefix}}fast.

Arguments

Flag	Effect
`--budget fast`	90-second wall-clock cap on the findings scan. Skips thorough detectors.
`--budget balanced` (default)	3-minute wall-clock cap. All detectors, bounded file walk.
`--budget thorough`	5-minute wall-clock cap. Used only when the user opts in.
`--skip-interview`	Skip the 5-question interview; use sane defaults (pain=unspecified, area=detected, budget=balanced, framework=detected, figma=skip).
`--dismiss-nudge`	Touch `~/.claude/gdd-nudge-dismissed` and exit. Does not run the scan.

Workflow

Six steps, all documented in ./start-procedure.md. Companion file ./reference/start-interview.md holds the 5-question copy + defaults + validation.

Step	What it does	Where to look
0	Dismiss-only shortcut (if `--dismiss-nudge`)	`start-procedure.md#step-0-dismiss-only-shortcut`
1	Detect UI root via `scripts/lib/detect-ui-root.cjs` (early-exit on backend-only or `kind: null`)	`start-procedure.md#step-1-detect-ui-root`
2	Run 5-question interview (or use `--skip-interview` defaults); write `.design/.start-context.json` (NOT STATE.md)	`start-procedure.md#step-2-run-the-5-question-interview` + `start-interview.md`
3	Invoke `scripts/lib/start-findings-engine.cjs` → up to 3 findings (`F1`..`F3`) + `bestFirstProofId`	`start-procedure.md#step-3-scan-findings`
4	Spawn `design-start-writer` Task → emit `.design/START-REPORT.md` (7 H2 sections + JSON block, no STATE.md write)	`start-procedure.md#step-4-spawn-the-writer`
5	Print one-line handoff with suggested command (fallback: `{{command_prefix}}brief` if `bestFirstProofId` is null); emit `## START COMPLETE`	`start-procedure.md#step-5-print-the-handoff`

Failure handling: every error path exits with ## START COMPLETE plus a one-line pointer. Do not half-write files - if the writer fails, keep .design/.start-context.json and tell the user they can rerun. Do not delete .design/ unless it was empty before the run.

Do Not

Do not write or mutate .design/STATE.md.
Do not modify source code.
Do not auto-install MCPs or write to .design/config.json.
Do not take more than the budgeted wall-clock - let the engine truncate findings rather than hang.
Do not invent findings - the findings engine output is the sole source of truth.

START COMPLETE

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

start-procedure.md5 KB

Frequently asked questions

What does the Start AI skill do?

First-Run Proof Path - one command that scans your UI code and returns one concrete first fix. Leaf command, no STATE.md writes, no pipeline entry. Writes .design/START-REPORT.md and exits.

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/hegemonart/get-design-done/tree/main/scripts/skill-templates/start. TypingMind reads its SKILL.md and bundles its files 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 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.

View all

Competitive Platform Analysis

affaan-m

CommunityPopular

Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong…

Frontend Slides

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a…

Plan Canvas

Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or…

Improve Codebase Architecture

mattpocock

CommunityPopular

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Get Design Done - {{command_prefix}}start

When to use

When NOT to use

Arguments

Workflow

Do Not

START COMPLETE

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now