agent-browser
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and…
Use when the user wants an end-to-end premium visual design workflow for any type of website or web page created directly from images.
$ npx -y skills add am-will/codex-skills --skill img-to-frontend --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/img-to-frontendContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when the user wants an end-to-end premium visual design workflow for any type of website or web page created directly from images.
name: img-to-frontend description: "Use when the user wants an end-to-end premium visual design workflow for any type of website or web page created directly from images."
Use this skill to run an image-first design-to-code workflow for visually appealing awwward winning websites. It must adapt to the user's brief, audience, content model, interaction needs, and brand intent rather than forcing a fixed category or visual trope.
The workflow is intentionally staged:
1. Invoke `$imagegen` to create four distinct website/page design images. 2. Stop so the user can select the image or images to use as the design reference. 3. Translate only the selected image into a precise implementation prompt. 4. Build the real page and iterate against screenshots until structure, hierarchy, typography, spacing, color, media treatment, component geometry, interactions, and responsive behavior are close to the reference.
Load `references/visual-iteration-checklist.md` for design variety, implementation, close visual replication, premium website work, complex UI sections, or repeated visual refinement.
Use this skill when the user asks to:
Do not use this skill for ordinary business-logic changes, backend features, simple copy edits, or design critique that will not lead to generated images, a detailed implementation prompt, or frontend code.
The first deliverable is always four generated images. Do not jump straight to text prompts, implementation prompts, or code.
Required behavior:
If image generation is unavailable or fails, report that blocker and ask whether the user wants text-only fallbacks. Do not silently substitute text briefs for the image stage.
Start by identifying the site context, audience, goal, style constraints, viewport, and must-have sections. If the user already gave enough context, do not pause for more input.
Generate four distinct website/page images through `$imagegen`. Each image must have its own visual language, not minor palette swaps. Vary structure, hierarchy, typography strategy, interaction model, information architecture, content emphasis, density, and brand behavior.
Choose directions that fit the site's purpose and audience. Different website types should develop from their own communication needs, not from a shared default template.
Use `ui-mockup` as the image-generation use case unless the user asks for a different raster style. The images should be polished enough for the user to choose between real visual directions, not rough wireframes.
For each direction, briefly label:
After the four images are created, stop and wait for the user to pick one or request revisions. Do not write the detailed build prompt and do not begin implementation until the user selects an image or explicitly asks to skip selection.
When the user references a selected image, verify which image they mean from the conversation context. If there is ambiguity, ask a short clarification before writing the prompt or coding.
Before coding, convert the selected image into a granular implementation prompt. The prompt should be specific enough that another frontend agent can build a near exact replica without guessing.
Include:
Inspect the project before editing. Determine the framework, routing mo
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