Gdd Next

Community

hegemonart

gdd-next

Routes to the next pipeline stage based on current STATE.md position

Overview

Publisher	hegemonart
Repository	`get-design-done`
Skill name	`gdd-next`
Stars	3
Forks	1
Bundled files	Instructions only
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.
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 Next 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/next
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/next .claude/skills/gdd-next

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gdd Next 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 Next 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 Next 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 - Next

Role: Lightweight router. Read .design/STATE.md and recommend the next command.

Logic

Two paths - MCP preferred when available, file-read fallback otherwise.

MCP path (preferred)

When mcp__gdd_phase_current is exposed (Phase 27.7+, registered via npx @hegemonart/get-design-done --register-mcp):

Call mcp__gdd_status (no args) → {phase, branch, last_decisions, last_completed_plans, blocker_count}. Gives cycle + branch context for the output block in one call.
Call mcp__gdd_phase_current (no args) → {phase, stage, task_progress, status}. Use stage to drive the routing table below.
(Optional) Call mcp__gdd_plans_list (no args) → current phase plans + status, to identify the next incomplete plan and refine the recommendation.
If mcp__gdd_status returns a "STATE.md missing" error, print: "No STATE.md found. Run {{command_prefix}}new-project to initialize, or @get-design-done brief to start the pipeline." and stop. Otherwise, skip to the routing table.

Two to three MCP calls = full routing decision (~3s, ~32k tokens - Storybloq benchmark).

File-read path (fallback)

When MCP tools are not available, fall back to the legacy flow:

Check if .design/STATE.md exists.
- No STATE.md → Print: "No STATE.md found. Run {{command_prefix}}new-project to initialize, or @get-design-done brief to start the pipeline."
If STATE.md exists, parse frontmatter stage: field. Proceed to the routing table.

This path loads the same context in 1–2 file reads (~20s, ~46.5k tokens - file-reading baseline).

Routing table

Map the stage (from either path above) to the next recommended command:

Current `stage:`	Recommendation
`brief`	Run `@get-design-done explore` to scan and interview
`explore`	Run `@get-design-done plan` to create design plan
`plan`	Run `@get-design-done design` to execute design tasks
`design`	Run `@get-design-done verify` to audit and verify
`verify`	Pipeline complete. Run `{{command_prefix}}new-cycle` for next cycle or `{{command_prefix}}ship` to create PR

Output

Print the recommendation as a single formatted block:


━━━ Next step ━━━
Current stage: <stage>
Status: <status>
→ <recommendation>
━━━━━━━━━━━━━━━━━━

Do Not

Do not modify STATE.md.
Do not invoke the next stage automatically - only recommend.

NEXT COMPLETE

Frequently asked questions

What does the Gdd Next AI skill do?

Routes to the next pipeline stage based on current STATE.md position

Why use Gdd Next on TypingMind?

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

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

Which AI models can use Gdd Next?

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 Next?

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

Is the Gdd Next 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Get Design Done - Next

Logic

MCP path (preferred)

File-read path (fallback)

Routing table

Output

Do Not

NEXT COMPLETE

Frequently asked questions

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