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Design Review

Community
davekilleen
design-review

Use when a design artifact or revision needs a prepared review packet or an evidence-backed record of a review outcome, requirements, and decisions.

Overview

Publisherdavekilleen
RepositoryDex
Skill namedesign-review
Stars
481
Forks
130
Bundled files
Instructions only
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 davekilleen on GitHub. Read the source before you install it.

Installation

Install the Design Review 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.
  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/davekilleen/Dex.git /tmp/Dex
mkdir -p .claude/skills
cp -r /tmp/Dex/packages/dex-agent-plugin/skills/_available/design/design-review .claude/skills/design-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Review 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 Review 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 Review 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 review

When to use

Use this skill in one explicitly selected mode:

  • Prepare mode: assemble an evidence-backed review packet before a review.
  • Document mode: record an outcome that an authoritative human source says was made.

Do not use it to make a design decision, edit the artifact, or infer approval from a meeting invite or silence. Not for unscoped aesthetic preference, implementation work, or publishing requirements and decisions without preview and human confirmation.

Inputs and source discipline

  • Start with the mode, review scope, timezone, and as-of date/time. Identify the artifact and exact version, revision, or snapshot; if the version is missing, say so and do not merge evidence from different iterations.
  • Gather requirements, user stories, constraints, research, feedback, and prior decisions from named sources. Record source path or ID, source date, artifact location, and access date/as-of for each item.
  • In document mode, identify the authoritative review record and decision authority. Do not infer participants, owners, intent, or approval from context.
  • Keep evidence tied to the artifact version reviewed. A later revision is a new subject, not a correction to the old record.

Method

  1. Confirm prepare or document mode and the exact artifact/version under review.
  2. Build a requirement-to-evidence trace: requirement, artifact location, supporting source and date, and observed/inferred/unknown status. Include contradictory requirements or feedback rather than silently choosing one.
  3. Inspect the artifact and evidence read-only. Record strengths, risks, open questions, and traceable findings with confidence; do not add requirements that are not sourced.
  4. In prepare mode, list options, trade-offs, and questions for human reviewers without selecting an option. In document mode, record only decisions explicitly stated by the authoritative source and label them proposed, accepted, or superseded as supported.
  5. Separate recommendations from authorized decisions. A recommendation is not a human decision, and an unresolved question stays unresolved.
  6. Draft the packet or outcome record with sources, dates, as-of provenance, unknowns, and contradictions. Preview the exact save before requesting confirmation.

Truth and uncertainty rules

  • Observed: a requirement, design detail, feedback item, or decision directly present in the cited artifact or dated source.
  • Inferred: an interpretation of a design effect or requirement relationship; explain the evidence and confidence.
  • Unknown: missing version, requirement, rationale, participant, authority, or outcome.
  • Stale: evidence tied to an older artifact/version or outside the requested as-of boundary; do not apply it to a newer revision without re-checking.
  • Contradictory: requirements, feedback, or review sources disagree; preserve the conflict and dates and ask the human authority to resolve it.

Never invent dates, metrics, percentages, owners, intent, money, causes, status, or evidence. Never convert a suggestion into an accepted decision.

Output contract

Return a review record containing:

  • mode, review scope, artifact/version, timezone, as-of date/time, and source coverage;
  • the requirement/evidence trace with source/date references and confidence;
  • findings, options, trade-offs, unknowns, stale evidence, and contradictions;
  • in prepare mode, recommendations and explicit decision questions;
  • in document mode, only sourced proposed, accepted, or superseded decisions, with the authoritative source and date; never imply a decision where the record is unknown.

Safety and write boundaries

Default to read-only in both modes. Do not edit design files, requirements, tickets, or decision records while preparing or reviewing. A document-mode save or other action needs an exact preview, explicit confirm, and human authority; perform only the confirmed write. Recommendations do not authorize design changes or decisions.

Verification and recovery

Read back the artifact/version and every requirement/evidence reference, then reconcile decision labels, sources, dates, and as-of scope before delivery. After an authorized save, read back the destination and reconcile it with the confirmed preview. If the artifact changes, a version is stale, a source is contradictory, or a read fails, stop and mark the affected item unknown or stale. If a write fails or is partial, preserve the draft and error, report the exact state, and wait for human authority before retrying or recovering; do not claim a decision was documented without read-back proof.

Frequently asked questions

What does the Design Review AI skill do?

Use when a design artifact or revision needs a prepared review packet or an evidence-backed record of a review outcome, requirements, and decisions.

Why use Design Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davekilleen/Dex/tree/main/packages/dex-agent-plugin/skills/_available/design/design-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design Review?

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 Review?

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

Is the Design Review AI skill free?

It is published on GitHub by davekilleen. Check the repository for licensing terms. 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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