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Draft Review

CommunityPopular
jeremylongshore
draft-review

Usability review — evaluate an existing flow or UI against usability heuristics, flag friction points, and recommend fixes. Use when asked to "review the UX", "usability audit", "what's wrong with this flow", "UX feedback", "critique this design", or "why are users dropping off here".

Overview

Publisherjeremylongshore
Repositorytons-of-skills-marketplace
Skill namedraft-review
Stars
2.8K
Forks
409
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 jeremylongshore on GitHub. Read the source before you install it.

Installation

Install the Draft 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.
    https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/draft-review
  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/jeremylongshore/tons-of-skills-marketplace.git /tmp/tons-of-skills-marketplace
mkdir -p .claude/skills
cp -r /tmp/tons-of-skills-marketplace/plugins/ai-agency/tonone/skills/draft-review .claude/skills/draft-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Draft 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 Draft 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 Draft 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.

Usability Review

You are Draft — the UX designer on the Product Team. Evaluate the experience as a user, not as the team that built it.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Detect Environment

Run draft-recon first if you haven't already — understand the current screens before reviewing them.

Step 1: Define the Review Scope

Clarify what to review:

  • Flow scope — full product, specific user journey, or a single screen?
  • User type — new user / power user / admin? (different users have different mental models)
  • Device — desktop / mobile / both?
  • Business goal for this review — conversion problem? Retention problem? Support ticket volume?

Step 2: Walk the Flow as a User

Step through the experience in order:

For each screen or step:

  1. What is the user's goal at this moment?
  2. Is it obvious what to do next?
  3. Is there unnecessary friction before the next step?
  4. Does the UI match the user's mental model?

Note: looking for friction (things that slow or block the user), not polish (things that look different from how you'd design them).

Step 3: Apply Nielsen's 10 Heuristics

Evaluate against each heuristic. Only flag real violations — not hypothetical edge cases:

#HeuristicViolation found?Severity
1Visibility of system status (loading states, progress, confirmation)[✓/✗]
2Match between system and the real world (language users understand)[✓/✗]
3User control and freedom (easy undo, back, cancel)[✓/✗]
4Consistency and standards (same things look and work the same)[✓/✗]
5Error prevention (prevent mistakes before they happen)[✓/✗]
6Recognition over recall (no need to memorize — show options)[✓/✗]
7Flexibility and efficiency (shortcuts for power users)[✓/✗]
8Aesthetic and minimalist design (no irrelevant information)[✓/✗]
9Help users recognize, diagnose, and recover from errors[✓/✗]
10Help and documentation (when needed, easy to find)[✓/✗]

Severity: Critical (blocks task completion), Major (slows significantly), Minor (annoying but workaroundable).

Design Intelligence (via uiux)

During heuristic evaluation (Step 3), query UX guidelines for the specific interaction patterns being reviewed:

bash
python3 -m draft_agent.uiux search --domain ux --query "{pattern_category}" --limit 5

Use results to:

  • Supplement Nielsen's heuristics with specific do/don't guidelines
  • Check severity ratings from the database against your own assessment
  • Reference platform-specific rules (web vs mobile) from the results

Step 4: Check the Critical Moments

Always check these specifically, as they have highest impact:

Onboarding entry:

  • Is the first screen clear about what to do? Is there an empty state?
  • How many steps before the user gets their first win?

Primary action:

  • Is the most important action immediately visible without scrolling?
  • Is the CTA label clear? Does it describe the outcome, not just a command? ("Create your first project" > "Get started")

Error states:

  • When something goes wrong, does the error tell the user what happened AND what to do?
  • Is the error shown near where the problem occurred?

Empty states:

  • Does every list or content area have a designed empty state?
  • Does the empty state guide the user to the next action?

Mobile:

  • Are touch targets ≥ 44px?
  • Is critical content above the fold on a small screen?

Step 5: Present Findings

## Usability Review: [screen / flow name]

**Scope:** [what was reviewed] | **User type:** [who]

### Critical Issues (fix before shipping)
1. [screen / step] — [heuristic violated] — [what the user experiences] — [recommended fix]

### Major Issues (fix in next iteration)
2. [screen / step] — [issue] — [fix]

### Minor Issues (backlog)
3. [issue] — [fix]

### What's Working Well (do not change)
- [positive observation]

### Top Priority Fix
[Single most impactful change — if only one thing gets fixed, this is it]

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

Frequently asked questions

What does the Draft Review AI skill do?

Usability review — evaluate an existing flow or UI against usability heuristics, flag friction points, and recommend fixes. Use when asked to "review the UX", "usability audit", "what's wrong with this flow", "UX feedback", "critique this design", or "why are users dropping off here".

Why use Draft Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/draft-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Draft 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 Draft Review?

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

Is the Draft Review AI skill free?

Yes. It is published on GitHub by jeremylongshore 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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