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Codex Visual Builder Guild

Community
vibeforge1111
codex-visual-builder-guild

Use when Codex should improve visual UI/UX through a screenshot-driven design loop with imagegen assets, vision review, responsive checks, interaction states, accessibility, A/B variants, design tokens, art bible extraction, and specialist-style delegation. Trigger when the user asks for the Codex Visual Builder Guild, visual builder loop, imagegen plus vision workflow, designer guild, UI polish, README/X launch visuals, game UI polish, SaaS dashboard polish, or to make an app look production-ready through screenshots.

Overview

Publishervibeforge1111
Repositorycodex-visual-builder-guild
Skill namecodex-visual-builder-guild
Stars
46
Forks
6
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vibeforge1111 on GitHub. Read the source before you install it.

Installation

Install the Codex Visual Builder Guild 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/vibeforge1111/codex-visual-builder-guild/tree/main/codex/codex-visual-builder-guild
  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/vibeforge1111/codex-visual-builder-guild.git /tmp/codex-visual-builder-guild
mkdir -p .claude/skills
cp -r /tmp/codex-visual-builder-guild/codex/codex-visual-builder-guild .claude/skills/codex-visual-builder-guild
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex Visual Builder Guild 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 Codex Visual Builder Guild 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 Codex Visual Builder Guild 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.

Codex Visual Builder Guild

Act like a visual product team, not a one-shot code generator.

Core Loop

Use this loop for visual work:

text
build -> run -> screenshot -> vision review -> delegate -> fix -> compare -> post-fix ruthlessness -> keep the rules
  1. Establish product intent and page intent when the work is a new section, important surface, onboarding/setup flow, or major redesign.
  2. Run the app locally when possible.
  3. Capture screenshots for desktop, tablet, mobile, and at least one fluid in-between width when layout risk matters.
  4. Inspect real rendered output with vision.
  5. Route narrow issues to the right guild specialist.
  6. Make focused code or asset changes.
  7. Re-screenshot and compare before/after.
  8. Run the Post-Fix Ruthlessness Check on the after screenshots.
  9. Summarize what changed and any reusable design rules.

Minimum Useful Pass

When the user is new, rushed, or coming from the public repo, do not invoke the whole guild by default. First deliver one visible win:

  1. Run the app.
  2. Capture desktop, tablet, mobile, and one fluid in-between screenshot when the app has responsive layout risk.
  3. Name the top 3 visible issues.
  4. Fix the highest-impact issue.
  5. Capture after screenshots.
  6. Run the Post-Fix Ruthlessness Check and fix any newly obvious leftover that is higher impact than the original residual risks.
  7. Report the before/after screenshot paths, what improved, what stayed weak, and one reusable rule.

Post-Fix Ruthlessness Check

After the first fix and after screenshots, do not accept "better than before" as done. Inspect the after screenshots with Codex App vision and answer these exact questions:

  • Did the fix leave any awkward leftover onboarding, duplicated action, floating copy, box soup, text-first clutter, or misplaced setup guidance?
  • Did the fix make the product idea clearer while making the rendered screen heavier, scarier, or harder to scan?
  • Did a secondary action become more prominent than the main user route?
  • Did a desktop fix create a tablet, mobile, or awkward fluid-width regression?
  • Did the new pattern belong in the art bible/component system, or did it create one-off drift?

If the answer exposes a higher-impact visible issue, make one more focused fix and re-screenshot the affected viewport/state. If the answer does not change the next action, record it as residual risk and stop.

Responsive Viewport Discipline

Default responsive coverage for web UI work:

  • desktop: a wide/laptop viewport such as 1440x1000.
  • tablet: a middle viewport such as 834x1112 or 1024x768.
  • mobile: a phone viewport such as 390x844.
  • fluid breakpoint: at least one awkward in-between width near a layout transition, such as 1180x900, 1280x900, or the user's reported screenshot size.

For each responsive screenshot, use vision to answer:

  • Does any text wrap into unreadable columns?
  • Do controls clip, overlap, disappear, or become too small to tap?
  • Do side rails, cards, toolbars, and composers keep useful proportions?
  • Does the visual hierarchy survive the transition between mobile/tablet/desktop?
  • Is horizontal overflow intentional, or is it a layout bug?

If a middle-width screenshot finds a bug that named desktop or mobile checks missed, prefer fixing the fluid layout rule over hard-coding one exact viewport.

Only route to a specialist when that lens changes the next action.

Lens Router

Default to visual-loop-qa plus at most 1-2 specialist lenses. Route by rendered evidence:

Evidence from screenshot or interactionLens
product job, page job, success moment, or ideal user route is unclearproduct-intent-observer
mobile/tablet/fluid-width crop, hidden controls, cramped taps, broken wrapping, unreadable columns, accidental horizontal overflowresponsive-vision-auditor
screen looks polished but the user's path, next action, or recovery is unclear; surface feels overwhelminguser-flow-friction-auditor
dashboard is pretty but not useful for repeated operationsaas-dashboard-operator
setup guidance crowds the main work canvas, empty states feel like product setup, first-run path is unclear, or onboarding does not explain readinesssaas-dashboard-operator + interaction-state-inspector
after screenshots are better but still show awkward leftover onboarding, duplicated actions, floating copy, box soup, or text-first cluttervisual-loop-qa + user-flow-friction-auditor
hover, focus, modal, loading, empty, disabled, or error state is unknowninteraction-state-inspector
contrast, focus visibility, tap target, or color-only meaning is riskyvisual-accessibility-sentinel
long content, empty data, huge numbers, missing images, or ugly real data breaks layoutreal-content-layout-fuzzer
generated/external asset quality matters to the UIimagegen-asset-director
visual change should become a baselinescreenshot-regression-guard
repeated styling choices are driftingbrand-consistency-enforcer or design-token-surgeon
art bible, design tokens, or reusable component rules are missing, ignored, or contradicted by a new patterncomponent-system-steward
multiple strong visual directions existab-visual-lab

If no row applies, use lens used: none - minimum useful pass was enough.

Codex App Native Capability Router

Use Codex App features as first-class guild tools:

NeedNative move
judge a rendered screencapture a screenshot, inspect it with Codex App vision, and cite the image path
compare before/aftershow or reference both local screenshot paths and describe the visual delta Codex saw
inspect the user's current pageuse the in-app browser URL as live context, then screenshot that rendered state
create a custom visual assetuse the imagegen skill only when the asset will clarify the product, integrate it, then inspect the integrated screen with vision
explain work to the useruse absolute local screenshot paths, clickable file links, and concise visual observations
keep a reusable rulecapture the accepted screenshot and hand it to screenshot-regression-guard or art-bible-extractor

Positive guardrails:

  • Prefer Codex App vision over external image-analysis scripts.
  • Prefer native imagegen for meaningful assets over decorative gradients, stock-like filler, or unused mock art.
  • Prefer rendered screenshots over DOM guesses; use metrics and tests only to support what vision saw.
  • Prefer app-native artifacts the user can open immediately: local screenshots, local files, and concise report sections.
  • If a workflow is specific to Codex App, optimize for Codex App rather than generic CLI portability.

Lens Handoff Protocol

When more than one lens is useful, pass a compact handoff packet instead of restarting the review from vibes. Every packet must be backed by Codex App vision on a real screenshot or rendered state. A filename, DOM metric, test result, or source-code read is supporting evidence only; it is not enough.

text
from lens -> to lens
vision source: screenshot path plus viewport/state inspected
product intent: target user, core job, success moment, primary loop, anxiety, and design role when relevant
page intent: page job, ideal route, first viewport answer, deferred complexity, and recovery path when relevant
vision observation: what Codex actually saw in the image
supporting evidence: optional DOM metric, test result, or source-code fact
finding: the concrete visible problem or rule discovered from vision
decision: fix now, verify after fix, or keep as residual risk
next vision check: the exact screenshot, interaction state, or content case the next lens must inspect with vision

Default handoffs:

  • responsive-vision-auditor -> interaction-state-inspector when a breakpoint fix could affect taps, focus, modal behavior, or hidden panels.
  • visual-loop-qa -> user-flow-friction-auditor when screenshots show unclear next action, overloaded choices, confusing first-run path, or missing recovery.
  • user-flow-friction-auditor -> interaction-state-inspector when reducing friction changes buttons, steppers, modals, save/cancel behavior, or navigation.
  • user-flow-friction-auditor -> component-system-steward when a successful flow fix creates a reusable wizard, setup guide, command surface, checklist, or empty-state pattern.
  • interaction-state-inspector -> visual-accessibility-sentinel when the fix changes focus rings, disabled states, contrast, color-only meaning, or tap target size.
  • real-content-layout-fuzzer -> responsive-vision-auditor when ugly content changes wrapping, grid width, or scrolling.
  • saas-dashboard-operator -> interaction-state-inspector when a workflow change adds or moves actions, setup steps, empty states, or job/status cards.
  • component-system-steward -> art-bible-extractor when no art bible exists or accepted screenshots need reusable visual rules.
  • component-system-steward -> design-token-surgeon when repeated values should become tokens or component contracts.
  • any lens -> screenshot-regression-guard when the accepted visual change should become a reusable baseline or future guardrail.
  • any lens -> brand-consistency-enforcer when the fix introduces a new visual pattern that might drift from the existing product language.

Do not hand off just to use another specialist. Stop when the next lens would not change a decision, screenshot, vision observation, test, or reusable rule.

If you cannot inspect the screenshot with vision, say vision handoff blocked and do not claim a specialist handoff happened.

Visual Ruthlessness Checklist

Before accepting any after screenshot, actively look for these failure modes and name them in vision observations:

  • Box soup: too many cards, panels, bordered regions, or text blocks competing at once.
  • Touching cards: adjacent boxes with no visible breathing room, or section gaps that visually collapse.
  • Text-first dashboarding: the screen explains everything with paragraphs when a diagram, status strip, timeline, chart, or spatial grouping would scan faster.
  • False improvement: the product idea got clearer, but the rendered screen became heavier, more crowded, or harder to scan.
  • Awkward leftovers: the first fix solved the named problem but left duplicated actions, floating onboarding copy, stale setup guidance, or a component that no longer belongs where it is.

Hard rule: if a user can point to a screenshot and say "these boxes look weird" or "this is just blobs of text," the guild run was not strict enough. Fix the visual structure, then add the reusable rule that would have caught it.

Run Report Contract

Every guild run must end with a compact report that proves the visual decision loop happened:

  • goal: the user-facing visual/product problem being solved.
  • product intent: the target user, core job, success moment, primary loop, user anxiety, and design role, or not needed for this narrow pass.
  • page intent: the current page job, ideal user route, first viewport answer, deferred complexity, and recovery path, or not needed for this narrow pass.
  • viewport matrix: desktop/tablet/mobile/fluid-width coverage, or not checked.
  • state matrix: default/hover/focus/loading/empty/error coverage, or not checked.
  • screenshots inspected: before and after screenshot paths, with viewport names.
  • vision observations: concrete things Codex saw in the screenshots, separated by viewport/state. Do not infer this from code.
  • top issues: the top 3 visible issues found from screenshots.
  • chosen issue: the issue fixed first and why it was highest impact.
  • lens used: the specialist lens used, or none with a reason.
  • handoff log: each vision-backed lens handoff packet used, or none - single-lens pass.
  • exact fix: the files or assets changed and the smallest design decision made.
  • verification: what the after screenshots prove.
  • post-fix ruthlessness: what still looked awkward after the first fix, whether it changed the next action, and the second fix or residual risk.
  • accepted visual change: the intentional before/after difference to preserve.
  • still weak: what remains risky, confusing, or unproven.
  • reusable rule: one design rule future work should inherit.
  • automation notes: manual-only, Playwright screenshot baseline, axe check, Storybook/Chromatic, Lighthouse/Web Vitals, or project-specific check.

If screenshot paths or a verification claim are missing, the run is incomplete.

Specialist Output Contract

Every specialist lens should return concrete evidence, not ceremony:

  • problem: the visible failure it is solving.
  • evidence: screenshot, viewport, state, or content case plus the vision observation that proves the problem.
  • fix: the smallest change that should improve the rendered UI.
  • verification: the screenshot, state, or rule that proves the fix worked.
  • residual risk: what still might fail.
  • handoff next: which lens should verify this next with vision, or stop with a reason.

Specialist Routing

Use these specialist lenses:

  • visual-loop-qa: orchestrate the full visual loop.
  • product-intent-observer: define the product intent, page intent, success moment, ideal route, user anxiety, and design role before visual critique.
  • user-flow-friction-auditor: audit whether the target user can understand, start, complete, and recover from the intended product flow without overwhelm.
  • imagegen-asset-director: create UI-ready generated assets and judge them in context.
  • responsive-vision-auditor: verify mobile, tablet, desktop, wide, and awkward fluid-breakpoint layouts.
  • interaction-state-inspector: inspect hover, focus, modal, dropdown, loading, empty, error, and keyboard states.
  • brand-consistency-enforcer: keep screens visually coherent.
  • component-system-steward: find, enforce, or create the project's art bible, token, and component-system contracts.
  • art-bible-extractor: convert winning screenshots into reusable design rules.
  • design-token-surgeon: convert repeated visual choices into tokens or component contracts.
  • screenshot-regression-guard: preserve before/after screenshot evidence.
  • real-content-layout-fuzzer: stress the UI with ugly realistic content.
  • visual-accessibility-sentinel: check contrast, focus, tap targets, color-only meaning, and motion safety.
  • ab-visual-lab: create and compare visual variants.
  • hero-image-cinematographer: make first viewports image-led and immediately legible.
  • saas-dashboard-operator: make operational UIs dense, calm, and scannable.
  • saas-dashboard-operator + interaction-state-inspector: use together when setup guidance crowds the main work canvas, empty states feel like product setup, first-run path is unclear, or onboarding does not explain readiness.
  • game-ui-polish: review HUDs, inventories, stats, controls, and player readability.
  • motion-and-feedback-director: polish useful motion, loading, progress, and feedback.
  • asset-provenance-librarian: track generated assets, prompts, usage intent, and replacement notes.

Operating Rules

  • Prefer rendered evidence over taste arguments.
  • For new sections, crucial updates, onboarding/setup, dashboards, or ambiguous product work, run product-intent-observer before visual critique.
  • Start with the minimum useful pass unless the user explicitly asks for the full guild.
  • Use at most 1-2 specialist lenses unless screenshots prove more are needed.
  • End with the Run Report Contract so the user can judge the work.
  • Use imagegen for real assets, not decorative filler.
  • Use actual Codex App vision to judge the integrated UI, not just the source image or source code.
  • Record vision observations before naming the chosen issue.
  • Use Codex App vision heavily: inspect before screenshots, after screenshots, and any state or breakpoint that a handoff depends on.
  • Fix the highest-impact visual issue first.
  • Before polishing a complex product surface, ask whether the rendered screen answers: where am I, what should I do next, what happens after I do it, and how do I recover?
  • If a visual fix creates a reusable pattern, check the project art bible/component system. If none exists, create the smallest practical rule from accepted screenshots instead of leaving future agents to infer the style.
  • If screenshot evidence shows setup guidance fighting the main task surface, move it into first-run onboarding or a reusable setup checklist instead of polishing the misplaced card.
  • When multiple lenses apply, write the vision-backed handoff packet before making the next fix so the next lens inherits what was seen rather than repeating the same review.
  • Do not invoke specialist lenses just to name them; each lens must produce a concrete artifact.
  • Keep edits compatible with the existing codebase and design system.
  • Do not stop at the first draft when screenshots show obvious visual problems.
  • Preserve screenshots, prompts, or notes when they are useful for future design consistency.

Common Invocations

For full guild work:

text
Use codex-visual-builder-guild. Run the app, screenshot desktop, tablet, mobile, and one awkward in-between width, inspect with Codex App vision, delegate issues to the right specialists, fix, compare before/after, and summarize the final design rules.

For a known specialist:

text
Use codex-visual-builder-guild with the responsive-vision-auditor lens. Check this screen across mobile, tablet, desktop, wide, and awkward fluid-breakpoint layouts, then fix the issues.

For a launch/X walkthrough:

text
Use codex-visual-builder-guild and record the journey: first screenshot, top visual problems, specialist delegation, fixes, final screenshot, and a plain-English before/after summary.

Spark Mode

If the project has Spark Skill Graphs installed with this repo's design/*.yaml files, prefer the H70-C+ YAML contracts as the source of truth for detailed delegation. Otherwise, use this Codex skill as a standalone wrapper.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Codex Visual Builder Guild AI skill do?

Use when Codex should improve visual UI/UX through a screenshot-driven design loop with imagegen assets, vision review, responsive checks, interaction states, accessibility, A/B variants, design tokens, art bible extraction, and specialist-style delegation. Trigger when the user asks for the Codex Visual Builder Guild, visual builder loop, imagegen plus vision workflow, designer guild, UI polish, README/X launch visuals, game UI polish, SaaS dashboard polish, or to make an app look production-ready through screenshots.

Why use Codex Visual Builder Guild on TypingMind?

Because you install it once and use it with any model. Codex Visual Builder Guild 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 Codex Visual Builder Guild in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vibeforge1111/codex-visual-builder-guild/tree/main/codex/codex-visual-builder-guild. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Codex Visual Builder Guild?

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 Codex Visual Builder Guild?

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

Is the Codex Visual Builder Guild AI skill free?

Yes. It is published on GitHub by vibeforge1111 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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