MCPInstall

visual-ralph

Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/yeachan-heo/oh-my-codex --skill visual-ralph
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads visual-ralph automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Visual Ralph Skill

Use $visual-ralph for measured frontend implementation from an approved generated reference, static image, or live-URL baseline. The loop is:

description / URL -> approved reference -> $ultragoal implementation -> Visual Ralph verdict + pixel diff -> reusable design system.

For URL cloning, this skill owns the migrated $web-clone use case; preserve URL, viewport, fidelity, and interaction notes here. Do not invoke standalone $web-clone.

Shared operating, delegation, state, hook, team, cancellation, and verification invariants live in templates/AGENTS.md. Follow that source instead of duplicating its rules here.

Use when

  • The user wants a web/app UI built or restyled against a visual target.
  • A live URL or generated raster mockup needs measured implementation and pixel-level iteration.
  • The result must leave reusable repo-native tokens/components, not only a matching screenshot.

Do not use it for a durable DESIGN.md brief ($design), non-visual backend work, comparison-only fixes that can be executed directly, or deterministic SVG/code-native assets.

Workflow

1. Ground the repository

Inspect package manager/scripts, frontend framework and routes, styling/token conventions, screenshot tooling, and reusable components. Choose stack-specific commands only when repository evidence supports them.

2. Establish a reference

For a live URL, capture or document an artifact containing source URL and permission/scope, viewport(s), route/state, seed/login assumptions, baseline screenshot path or capture command, visible-control parity notes, and exclusions (backend/API/auth, personalized data, crawling, third-party widgets).

For a generated concept, use $imagegen with classification ui-mockup, viewport/aspect ratio, surface, layout hierarchy, typography, color mood, exact text, no logos/watermarks/unrequested marks, and readable/feasible UI details. In OMX runtime, queue the continuation checkpoint before the built-in image tool:

omx imagegen continuation <session-id> --artifact <slug-or-filename> --generated-dir "$CODEX_HOME/generated_images/<session>" --work-dir ".omx/artifacts/visual-ralph/<slug>"

Copy the approved reference into .omx/artifacts/visual-ralph/<slug>/reference.png; do not leave it only under $CODEX_HOME/generated_images.

3. Approval gate

Stop after generation or URL capture and obtain approval of one reference image/state (or a targeted regeneration/capture adjustment). Before approval, do not implement or invoke $ultragoal. After approval, the image/baseline is the visual source of truth; major pivots require an explicit user request.

4. Hand off to $ultragoal

Pass the approved reference/baseline, URL and permission note when applicable, viewport/content state, interaction parity and exclusions, user description, detected frontend context, screenshot command/viewport, and the completion checklist. The active Ultragoal execution lane edits, runs, captures, and iterates after approval until matched or blocked.

5. Verdict before every edit

For each iteration, capture the current screenshot with viewport/state, run Visual Ralph verdict (using vision when needed), and treat its JSON as authoritative. If score < 90, turn differences[] and suggestions[] into the next edit plan and rerun before editing. Required verdict keys: score, verdict, category_match, differences[], suggestions[], reasoning.

6. Secondary diff evidence

Use pixel diff/pixelmatch overlays only to locate hotspots and translate them into edits; they never replace the verdict. Record final reference, screenshot, and diff artifacts for auditability.

7. Reusable design system

Encode the match in existing repo-native CSS variables, theme tokens, config, component variants, stories, or DESIGN.md updates. Capture applicable colors, spacing, typography/weights, radii, shadows/elevation, and important variants/states. Extend existing patterns rather than adding a parallel layer.

Completion evidence and stop conditions

Do not declare done until the approved reference/baseline and reproduction command (viewport, route, state, output path) are saved; final verdict is >= 90; secondary diff evidence is recorded; reusable tokens/components exist; equivalent build/lint/test verification passes; no unapproved pivot occurred; and remaining differences are documented. Stop at the approval gate or report a concrete blocker when evidence cannot satisfy these conditions.

Handoff template

$ultragoal "Implement the approved frontend reference.
Reference: <workspace reference or URL-derived artifact>
Source URL and permission/scope: <when applicable>
Viewport/content state: <viewport, route/state, seed/login assumptions>
Interaction parity and exclusions: <visible controls and known limits>
Route/surface: <route or component>
Screenshot command: <command and viewport>
Run Visual Ralph verdict before every next edit; pass threshold >= 90.
Use pixel diff only as secondary evidence.
Extract reusable tokens/components for colors, spacing, typography, radii, shadows, and variants.
Run the repository's equivalent verification before completion.
Do not make major design pivots unless explicitly requested."

Task: {{ARGUMENTS}}

FAQ

What does the visual-ralph skill do?

Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.

How do I install visual-ralph?

Run npx skills add https://github.com/yeachan-heo/oh-my-codex --skill visual-ralph in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/visual-ralph/ (personal) or .claude/skills/visual-ralph/ (project).

Which AI agents can use visual-ralph?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is visual-ralph safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains visual-ralph?

It is published by yeachan-heo in yeachan-heo/oh-my-codex. It has 76 recorded installs.

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