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Design Handoff Brief

CommunityPopular
mohitagw15856
design-handoff-brief

Transform feature briefs into structured design briefs that give designers the context they need before opening Figma. Use when asked to write a design brief, create a design handoff, brief a designer on a new feature, or translate a PRD into design requirements. Produces a brief with user goal, emotional context, success criteria, constraints, edge cases, and out-of-scope boundaries.

Overview

Publishermohitagw15856
Repositorypm-claude-skills
Skill namedesign-handoff-brief
Stars
1.4K
Forks
257
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 mohitagw15856 on GitHub. Read the source before you install it.

Installation

Install the Design Handoff 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/mohitagw15856/pm-claude-skills/tree/main/plugins/pm-advanced/skills/design-handoff-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/mohitagw15856/pm-claude-skills.git /tmp/pm-claude-skills
mkdir -p .claude/skills
cp -r /tmp/pm-claude-skills/plugins/pm-advanced/skills/design-handoff-brief .claude/skills/design-handoff-brief
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Handoff 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 Design Handoff 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 Design Handoff 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.

Design Handoff Brief Skill

Produce a design brief that sets designers up for success — grounding them in user context and constraints before they open Figma, not after they've gone in the wrong direction.

Required Inputs

Work from what is given. If any of these is missing, still produce the complete output: fill each gap with a reasonable assumption marked (assumed, confirm) and list those assumptions at the end. Ask a question first only when the core subject itself is missing (there is nothing to write about).

  • Feature brief or PRD (even rough notes work)
  • Designer's name or team (for personalisation)
  • Technical constraints (any engineering limitations already known)
  • Timeline (when does design need to be done?)

What Designers Actually Need (and PMs Often Skip)

  • The user's goal, not the feature name
  • The emotional state of the user at this moment in the journey
  • What success looks like — how will we know the design worked?
  • Constraints: technical, legal, brand, accessibility
  • Edge cases that must be handled
  • What we're explicitly NOT solving for

Process

  1. Read the feature brief or PRD provided
  2. Extract user goal (reframe from feature language to user outcome language)
  3. Identify constraints — technical limitations, brand guidelines, accessibility requirements
  4. List edge cases the design must handle
  5. Define success criteria the design should be evaluated against
  6. Write a "not in scope" section to prevent scope creep in design
  7. Validate — Confirm every edge case listed is specific enough to design for, and every out-of-scope item is concrete enough to say "no" to

Programmatic Helper

Contrast ratios cannot be eyeballed. The AA line sits at 4.5:1, and #777777 on white is 4.478 (fails) while #767676 is 4.54 (passes) — no amount of looking at a screenshot separates those. Compute them:

bash
npx --yes notugly fix "#8ab4f8" "#ffffff"     # ratio, APCA, and the nearest passing colour
npx --yes notugly onepager <url> --out review.html   # every pairing, printable
npx --yes notugly vision                      # which colours merge for colour-blind viewers

notugly fix returns the ratio, the APCA lightness contrast, and the closest colour to the one already chosen that passes — same hue, same chroma. Paste those numbers into the tables below rather than estimating them.

Deterministic, zero dependencies, and no model call — so it costs nothing to run and gives the same answer every time.

Handoff is exactly where contrast gets lost: a designer picks a colour in a tool with no contrast checker, and an engineer implements it faithfully. Put the measured ratio next to every colour in the handoff table so the number travels with the value.

Output Structure

Design Brief: [Feature Name]

User Goal: (in the user's words, not ours) "When I [situation], I want to [motivation] so that I can [outcome]."

Context & Emotional State: [Where is the user in their journey? What are they feeling? What just happened?]

Design Success Criteria:

  • [Criterion 1 — measurable where possible]
  • [Criterion 2]
  • [Criterion 3]

Constraints:

  • Technical: [limitations engineering has flagged]
  • Brand: [relevant brand guidelines]
  • Accessibility: [WCAG level required, any specific requirements]
  • Legal/Compliance: [if applicable]

Edge Cases to Design For:

  • [Edge case 1]
  • [Edge case 2]
  • [Edge case 3]

Explicitly Out of Scope:

  • [What we are NOT solving in this design iteration]

Reference Material:

  • User research: [link]
  • Existing patterns: [Figma component library link]
  • Competitor examples: [links if relevant]

Quality Checks

  • User goal is written in user language (not feature/product language)
  • At least one edge case covers an error or failure state
  • Success criteria are measurable or observable (not "looks good")
  • Out-of-scope section names at least one thing that might seem in scope but isn't
  • Technical constraints are specific enough for an engineer to confirm

Anti-Patterns

  • Do not write the user goal in feature language ("design the checkout flow") — it must be written from the user's perspective with a motivation and outcome
  • Do not skip the "Explicitly Out of Scope" section — without it, designers will inadvertently solve problems not intended for this iteration
  • Do not list edge cases that are so generic they apply to any feature (e.g. "handle errors") — each edge case must be specific to this feature's failure modes
  • Do not hand off the brief without confirming engineering constraints are accurate — a constraint that is wrong is worse than no constraint
  • Do not omit the emotional context of the user — designs without emotional grounding produce technically correct but experientially flat results

Example Trigger Phrases

  • "Write a design brief."
  • "Create a design handoff."
  • "Brief a designer on a new feature."
  • "Translate a PRD into design requirements."

Frequently asked questions

What does the Design Handoff Brief AI skill do?

Transform feature briefs into structured design briefs that give designers the context they need before opening Figma. Use when asked to write a design brief, create a design handoff, brief a designer on a new feature, or translate a PRD into design requirements. Produces a brief with user goal, emotional context, success criteria, constraints, edge cases, and out-of-scope boundaries.

Why use Design Handoff Brief on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mohitagw15856/pm-claude-skills/tree/main/plugins/pm-advanced/skills/design-handoff-brief. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design Handoff 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 Design Handoff Brief?

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

Is the Design Handoff Brief AI skill free?

Yes. It is published on GitHub by mohitagw15856 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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