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Gdd Brief

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hegemonart
gdd-brief

Stage 1 of 5 design intake that captures problem statement, audience, constraints, success metrics, and scope into .design/BRIEF.md, and bootstraps .design/STATE.md if missing. Use when starting a new design cycle and before {{command_prefix}}explore. Activates for requests involving capturing a problem statement, defining audience and constraints, or starting a new design brief.

Overview

Publisherhegemonart
Repositoryget-design-done
Skill namegdd-brief
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 Brief 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/brief
  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/brief .claude/skills/gdd-brief
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gdd Brief 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 Brief 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 Brief 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 - Brief

Role: You are the Brief stage. Stage 1 of 5 in the get-design-done pipeline.

Purpose: Capture the design problem before any scanning or exploration. Produces .design/BRIEF.md.


Step 1 - Check for existing BRIEF.md

  1. Read .design/BRIEF.md if it exists.
  2. Parse it into sections: Problem, Audience, Constraints, Success Metrics, Scope.
  3. Note which sections are already answered (non-empty).
  4. If --re-brief flag is passed, ignore existing answers and ask all five questions.
  5. Otherwise, only ask questions for unanswered sections.

Step 2 - Interview

Ask the following one at a time using AskUserQuestion, only for unanswered sections:

  1. Problem - "What design problem are we solving? (user-facing outcome)"
  2. Audience - "Who is the primary audience? (role, device, context)"
  3. Constraints - "What constraints apply? (tech stack, brand, time, a11y requirements)"
  4. Success Metrics - "How will we measure success? (specific metrics or outcomes)"
  5. Scope - "What is in/out of scope for this cycle?"

Do not proceed to the next question until the current one is answered.

Step 3 - Write .design/BRIEF.md

Write the brief with these sections, preserving any pre-existing answers:

markdown
# Design Brief — <project name>

## Problem
<answer>

## Audience
<answer>

## Constraints
<answer>

## Success Metrics
<answer>

## Scope
<answer>

<prior-research>
<!-- Phase 38: populated by agents/user-research-synthesizer.md from UserTesting/Maze/Hotjar
     (pseudonymized) — ranked findings {finding · frequency · severity}. Empty on a fresh brief;
     the verify stage cross-checks each finding (addressed or explicitly deferred). -->
</prior-research>

Leave the <prior-research> block empty on a greenfield brief - it is filled by {{command_prefix}}research-sync (the user-research-synthesizer) when a research source is connected, and re-checked at verify. See reference/design-variants.md for the outcome loop.

Step 4 - Bootstrap STATE.md (if missing)

If .design/STATE.md does not exist, copy the template block from reference/STATE-TEMPLATE.md (between ==== BEGIN TEMPLATE ==== and ==== END TEMPLATE ====) to .design/STATE.md via Write. Leave the <ISO 8601 timestamp> placeholders in-place - Step 5 stamps them via MCP. If STATE.md already exists, skip to Step 5.

Step 5 - Commit STATE.md initialization

With .design/STATE.md seeded from the template:

  1. Stamp timestamps + cycle id: call mcp__gdd_state__frontmatter_update with patch: { started_at: <ISO>, last_checkpoint: <ISO>, cycle: <cycle-id> }.
  2. Mark brief progress: call mcp__gdd_state__update_progress with task_progress: "5/5", status: "brief_complete".
  3. Set handoff status: call mcp__gdd_state__set_status with status: "brief_complete".

Do NOT call mcp__gdd_state__transition_stage from brief - explore calls it on entry, keeping the transition atomic with the stage that owns the new state.

Step 6 - Inline glossary (CONTEXT.md) + ADR pointer

When a fuzzy phrase is resolved or a new domain concept is named during the briefing interview: write to ./CONTEXT.md IMMEDIATELY per ./../../reference/context-md-format.md (H2 heading + body; lazy-create on first term; no batching). Glossary entries compound across cycles - token savings + naming consistency.

Project-shaping decisions surfaced in briefing can be promoted to an ADR - see ./../../reference/adr-format.md for the 3-criteria gate (hard-to-reverse AND surprising-without-context AND real-tradeoff). Routine choices stay in STATE.md.

After Writing

━━━ Brief complete ━━━
Saved: .design/BRIEF.md
Next: @get-design-done explore
━━━━━━━━━━━━━━━━━━━━━━━

Spec self-review (before transition)

Run this final spec-quality pass over .design/BRIEF.md before the brief→explore transition:

  • Placeholder scan: no TBD / TODO / <placeholder> / lorem left in the artifact.
  • Internal consistency: sections don't contradict each other.
  • Scope check: nothing in the artifact exceeds (or silently drops) the agreed scope.
  • Ambiguity check: every requirement/decision is specific enough to act on without a follow-up question.

Optional brief audit (non-blocking)

Before the gate, you MAY spawn agents/brief-auditor.md via Task to grade the brief against the five brief anti-patterns (vague verbs, missing audience, immeasurable success criteria, scope creep, missing anti-goals). The auditor reads .design/BRIEF.md plus reference/brief-quality-rubric.md and writes advisory findings to .design/BRIEF-AUDIT.md. This step is advisory and MUST NOT block the brief to explore transition.

If the auditor reports one or more fired anti-patterns, surface a single-line pointer to the user:

Brief audit flagged N issue(s) - run {{command_prefix}}discuss brief to refine, or proceed to explore.

The user decides. Proceeding to explore with a flagged brief is allowed; the pointer is a nudge, not a gate. If the auditor reports no fired anti-patterns, or you skip the audit, continue to the gate unchanged.

Rationalizations - Thought to Reality

The excuses an agent invents to skip or shortcut the brief, and what each one actually costs the cycle:

ThoughtReality
"This brief is too simple to need a problem statement."Skip the brief = guess at requirements, then redesign mid-design when the real problem surfaces.
"The user told me what to build, I can skip the interview."Unasked constraints (a11y, brand, stack) become rework - the five questions exist because each one has blown a past cycle.
"I'll capture success metrics later in verify."Verify has nothing to check against; an un-metricked brief produces an un-verifiable cycle.
"Scope is obvious, I don't need an in/out line."Undeclared scope is scope creep waiting to happen - the explore scan widens to fill the vacuum.
"I can answer all five questions for the user from context."AskUserQuestion one-at-a-time exists because batched/assumed answers smuggle in wrong premises that compound downstream.
"STATE.md bootstrap can wait."Every later MCP mutation requires STATE.md to exist; skipping the bootstrap hard-blocks explore on entry.

BRIEF COMPLETE

Frequently asked questions

What does the Gdd Brief AI skill do?

Stage 1 of 5 design intake that captures problem statement, audience, constraints, success metrics, and scope into .design/BRIEF.md, and bootstraps .design/STATE.md if missing. Use when starting a new design cycle and before {{command_prefix}}explore. Activates for requests involving capturing a problem statement, defining audience and constraints, or starting a new design brief.

Why use Gdd Brief on TypingMind?

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

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

Which AI models can use Gdd Brief?

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 Brief?

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

Is the Gdd Brief 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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