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Gdd Sketch Wrap Up

Community
hegemonart
gdd-sketch-wrap-up

Walk through sketches, pick winner + rationale, group by design area, write project skills to ./.claude/skills/design-<area>-conventions.md.

Overview

Publisherhegemonart
Repositoryget-design-done
Skill namegdd-sketch-wrap-up
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 Sketch Wrap Up 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/sketch-wrap-up
  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/sketch-wrap-up .claude/skills/gdd-sketch-wrap-up
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gdd Sketch Wrap Up 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 Sketch Wrap Up 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 Sketch Wrap Up 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 - Sketch Wrap-Up

Role: Close an open sketch - elicit the winner + rationale from the user, group the decision by design area, and codify it as a project-local skill at ./.claude/skills/design-<area>-conventions.md so future gdd sessions auto-load the decision. See ./reference/cycle-handoff-preamble.md for the cycle-handoff framing this decision-archive feeds into.

Step 1 - Find sketches

  • Glob .design/sketches/*/.
  • If [slug] provided → use it directly.
  • If multiple pending (no WINNER.md) → AskUserQuestion: "Which sketch are you wrapping up?"
  • If none → print No open sketches. Run {{command_prefix}}sketch first. and exit.

Step 2 - Walk variants

Read the sketch's README.md. For each variant-N.html:

  • Show the variant's one-line description from README.
  • AskUserQuestion: "Is variant-N a keeper, maybe, or rejected?"

Step 3 - Elicit winner rationale

AskUserQuestion in sequence:

  1. "Which variant is the winner?"
  2. "What makes variant-N the winning direction? (grounds the decision for future sessions)"
  3. "Any token implications? (e.g., spacing scale clamp, color adjustment, font-weight shift)"

Step 4 - Group by design area

AskUserQuestion: "Which design area does this winner inform?" Options: typography / color / layout / motion / component / interaction.

Step 5 - Write project skill

Append to ./.claude/skills/design-<area>-conventions.md (create if missing):

markdown
# Design <Area> Conventions (Project-Local)

Auto-loaded in gdd sessions. Captures decisions codified from `{{command_prefix}}sketch-wrap-up`.

## Decision from sketch: <slug> (YYYY-MM-DD)
**Winner**: variant-N (<direction label>)
**Rationale**: <user rationale>
**Token implications**: <implications, or "none">

Step 6 - Write WINNER.md

Write .design/sketches/<slug>/WINNER.md with: # Winner: variant-N, then bold-prefixed fields Slug, Area, Rationale, Captured (YYYY-MM-DD), Project skill written to (path from Step 5).

Step 7 - Append D-XX + <prototyping> outcome to STATE.md

Two coupled writes - both must succeed so the sketch resolution surfaces in both <decisions> (all downstream stages) and <prototyping> (planner-specific context via decision-injector). Compute D-XX as max existing D-NN + 1 (scan <decisions> for D-\d+:, zero-pad to 2 digits).

  • Write 1 (<decisions>): D-XX: sketch/<slug> — winner: variant-N — <rationale> (locked)\n Source: .design/sketches/<slug>/WINNER.md
  • Write 2 (<prototyping>): <sketch slug="<slug>" cycle="<cycle>" decision="D-XX" status="resolved"/>. <cycle> from STATE.md frontmatter; empty string valid for single-cycle Wave A projects. If <prototyping> block does not exist, materialize between <must_haves> and <connections> per STATE template; append the <sketch …/> as first child.

Prefer MCP gdd_state typed mutators (byte-identical output): mcp__gdd_state__add_decision({id, text, status}) + mcp__gdd_state__add_prototyping({type:"sketch", slug, cycle, decision, status}). Without MCP, edit .design/STATE.md directly via Read + Write.

Step 8 - Update sketches SUMMARY.md

Append to .design/sketches/SUMMARY.md (create if missing):

- <slug> (YYYY-MM-DD) — winner: variant-N — area: <area> — D-XX — <one-line rationale>

After writing

━━━ Sketch wrapped ━━━
Slug: <slug>
Winner: variant-N
Area: <area>
Decision recorded: D-XX
Prototyping entry: <sketch slug="<slug>" cycle="<cycle>" decision="D-XX" status="resolved"/>
Project skill: ./.claude/skills/design-<area>-conventions.md
━━━━━━━━━━━━━━━━━━━━━

Do Not

  • Do not modify other sketch variants or rejected directions.
  • Do not write to src/ - conventions are design-layer only.

SKETCH-WRAP-UP COMPLETE

Frequently asked questions

What does the Gdd Sketch Wrap Up AI skill do?

Walk through sketches, pick winner + rationale, group by design area, write project skills to ./.claude/skills/design-<area>-conventions.md.

Why use Gdd Sketch Wrap Up on TypingMind?

Because you install it once and use it with any model. Gdd Sketch Wrap Up 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 Sketch Wrap Up in TypingMind?

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

Which AI models can use Gdd Sketch Wrap Up?

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 Sketch Wrap Up?

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

Is the Gdd Sketch Wrap Up 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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