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Gdd New Skill

Community
hegemonart
gdd-new-skill

Scaffolds a new Phase-28.5 + Phase-50-compliant skill: gathers a name, a multi-paragraph v3 description, a lifecycle stage, an allowed-tools list, and optional composes_with neighbours, then writes scripts/skill-templates/<name>/SKILL.md from the pure generator. Use when adding a brand-new gdd skill and you want the frontmatter, length cap, and v3 description form correct from the first commit. Activates for requests involving authoring a skill, scaffolding a command, creating a new SKILL.md, or adding a slash command.

Overview

Publisherhegemonart
Repositoryget-design-done
Skill namegdd-new-skill
Stars
3
Forks
1
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 hegemonart on GitHub. Read the source before you install it.

Installation

Install the Gdd New Skill 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/hegemonart/get-design-done/tree/main/scripts/skill-templates/new-skill
  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/hegemonart/get-design-done.git /tmp/get-design-done
mkdir -p .claude/skills
cp -r /tmp/get-design-done/scripts/skill-templates/new-skill .claude/skills/gdd-new-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gdd New Skill 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 Gdd New Skill 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 Gdd New Skill 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.

{{command_prefix}}new-skill

Role: Interactively scaffold a contract-compliant skill. Gather the fields, then write scripts/skill-templates/<name>/SKILL.md from the pure generator at scripts/lib/manifest/scaffolder.cjs. This skill writes ONE source file. It does NOT touch scripts/lib/manifest/skills.json and does NOT run the build; it prints the exact follow-up commands instead.

Read reference/skill-authoring-contract.md first for the length cap, the frontmatter required fields, and the v3 description form.

Prompt strategy (clack with a fallback)

Mirror the installer pattern in scripts/install.cjs: try @clack/prompts lazily, and degrade to AskUserQuestion (or plain text) when it is absent. Use this probe at the start:

bash
node -e "try { require.resolve('@clack/prompts'); console.log('clack'); } catch { console.log('fallback'); }"
  • clack: drive clack.text, clack.select, and clack.confirm from a short Node script.
  • fallback: ask the same questions with AskUserQuestion (one prompt per field), or read plain answers.

Either way the answers feed the same record builder. Never block waiting on a TTY in a non-interactive run; fall back to AskUserQuestion.

Step 1 - Gather the fields

  1. name: the slug from $ARGUMENTS if present, else ask. Must match ^[a-z0-9][a-z0-9-._]*$. Reject scripts/skill-templates/<name>/ collisions.
  2. description: a multi-paragraph v3 form. Sentence one is what the skill does. Sentence two is Use when <triggers>. Sentence three is Activates for requests involving <kw1>, <kw2>, <kw3>. Keep it 20 to 1024 chars.
  3. lifecycle stage: pick one of brief / explore / plan / verify / ship / figma / token / report (free text allowed). This seeds the composition suggestions.
  4. tools: a comma list (for example Read, Write, Bash). Empty means inherit-all.
  5. composes_with: auto-suggest neighbours, then confirm. Compute the suggestion list:
bash
node -e "
const s = require('./scripts/lib/manifest/scaffolder.cjs');
const m = require('./scripts/lib/manifest/skills.json');
console.log(JSON.stringify(s.suggestComposesWith(process.argv[1], m.skills)));
" "<name>"

Present the suggestions; let the user accept, edit, or clear them.

Step 2 - Length pre-check

Before writing, estimate the body length. If the planned body would exceed about 100 lines, warn the user (the authoring contract warns at 100 and blocks at 250) and suggest extracting domain content into a co-located scripts/skill-templates/<name>/<topic>.md reference. The generated skeleton is small; the warning is for the prose the user will add next.

Step 3 - Write the file

Build the record and render the file with the pure generator, then write it with the Write tool (not shell redirection):

bash
node -e "
const s = require('./scripts/lib/manifest/scaffolder.cjs');
const rec = s.buildSkillRecord({
  name: process.env.SK_NAME,
  description: process.env.SK_DESC,
  argumentHint: process.env.SK_HINT || undefined,
  tools: process.env.SK_TOOLS || undefined,
  userInvocable: process.env.SK_UI === 'true',
  composesWith: (process.env.SK_COMPOSES || '').split(',').map(x => x.trim()).filter(Boolean),
});
process.stdout.write(s.renderSkillMd(rec));
"

buildSkillRecord throws on an invalid name, an out-of-budget description, or a malformed tools list. Surface the thrown message to the user and re-prompt the offending field. Capture stdout and write it verbatim to scripts/skill-templates/<name>/SKILL.md via the Write tool.

Step 4 - Tell the user the follow-up

The skill stops here by contract. Print the next two commands for the user to run after they add the manifest record:

1. Add a record for "<name>" to scripts/lib/manifest/skills.json
   (description, argument_hint, tools, user_invocable; put composes_with in extra_frontmatter).
2. npm run generate:skill-frontmatter && npm run build:skills

Note that npm run generate:skill-frontmatter:check and the skills-coverage test stay red until the manifest record exists; that is expected and is the maintainer's step.

Do Not

  • Do not edit scripts/lib/manifest/skills.json, package.json, or any reference doc.
  • Do not run build:skills or generate:skill-frontmatter for the user; print the commands.
  • Do not write the SKILL.md with shell redirection; use the Write tool so the content is exact.
  • Do not invent a description; require the v3 three-sentence form from the user.

NEW-SKILL COMPLETE

Frequently asked questions

What does the Gdd New Skill AI skill do?

Scaffolds a new Phase-28.5 + Phase-50-compliant skill: gathers a name, a multi-paragraph v3 description, a lifecycle stage, an allowed-tools list, and optional composes_with neighbours, then writes scripts/skill-templates/<name>/SKILL.md from the pure generator. Use when adding a brand-new gdd skill and you want the frontmatter, length cap, and v3 description form correct from the first commit. Activates for requests involving authoring a skill, scaffolding a command, creating a new SKILL.md, or adding a slash command.

Why use Gdd New Skill on TypingMind?

Because you install it once and use it with any model. Gdd New Skill 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 Gdd New Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hegemonart/get-design-done/tree/main/scripts/skill-templates/new-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gdd New Skill?

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 Gdd New Skill?

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

Is the Gdd New Skill 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.

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