fal-redesign

name	fal-redesign
description	Upgrade a coded website to award-tier, editorially-crafted design using fal.ai. Takes a local HTML file or a dev-server URL, screenshots it, has an opus-4.7 vision model write a gpt-image-2 edit prompt, uses fal-ai/gpt-image-2/edit to produce the redesigned reference image, then opus-4.7 vision writes a Markdown build-spec with a "Hard constraints" section + a tokens.json. Also supports iterate (screenshot implemented site → delta-spec vs reference) and greenfield generate (brief → mockup → single-file HTML). Invoke when the user says "improve the design", "make it world-class", "redesign this landing page", "upgrade this site", "design pass", or points at a local HTML / dev server for a visual review.
metadata	{"author":"fal-ai-community","version":"0.1.0"}

fal-redesign

Runtime: Self-contained Node runtime under runtime/ (runtime/bin/fal-site.mjs). Does things genmedia CLI cannot (puppeteer screenshotting, multi-vision pipeline, file orchestration). First-time setup: cd runtime && npm install. Override the runtime path with FAL_SITE_RUNTIME=/abs/path.

fal-redesign turns "I coded a site, make it look amazing" into a concrete, implementable design pass.

your index.html → screenshot (1920×1200)
screenshot + brand → opus-4.7 writes a redesign prompt
screenshot + prompt → fal-ai/gpt-image-2/edit → after.png
after.png → opus-4.7 writes Markdown build-spec + tokens.json
 → returned to Claude Code / Codex

The agent reads after.png + changes.md + tokens.json, applies the spec to the real HTML, refreshes, optionally runs iterate for a residual pixel-fix pass.

When to invoke

• User has a local index.html or a running dev server and asks to improve the design, make it world-class, redesign, polish, or run a design review.
• User describes a brand/product in freeform text and asks for a fresh site (greenfield mode → generate).

Do NOT invoke for:

• Copy-only edits (the skill is visual-design focused).
• Backend, build config, or infra tasks.

Commands

All four modes are subcommands of the Node runtime. Invoke directly:

upgrade: redesign a coded site

node runtime/bin/fal-site.mjs upgrade --target <path-or-url> [--context "..."] [--variants N] [--out <dir>]

Pass --variants N (2-8) to fan out into N distinct design directions in parallel. You get after-01-<slug>.png, after-02-<slug>.png, plus a gallery.html to compare them side-by-side. Pick one, then run describe on the chosen PNG to produce its build-spec.

Outputs in <out>/:

• before.png: current-site screenshot.
• after.png: redesigned reference image.
• edit-prompt.txt: transformation prompt fed to gpt-image-2.
• changes.md: Markdown build-spec with a leading "Hard constraints" section (also echoed to stdout).
• tokens.json: design tokens (colors, typography clamps, grid, buttons).

describe: re-run the build-spec on an existing after.png

Useful if the first spec was noisy or if you want to iterate on the spec without regenerating the image.

node runtime/bin/fal-site.mjs describe --after <path/to/after.png> [--out <dir>]

iterate: residual pixel-fix pass

After the agent has implemented the spec, screenshot the live site and emit a delta-spec vs the reference.

node runtime/bin/fal-site.mjs iterate --target <path-or-url> --reference <path/to/after.png> [--out <dir>]

Outputs current.png + delta.md.

generate: greenfield (brief → site)

node runtime/bin/fal-site.mjs generate --context "<freeform context>" [--variants 4] [--out <dir>]

Required environment

export FAL_KEY=... # https://fal.ai/dashboard/keys

Models used:

• anthropic/claude-opus-4.7: via openrouter/router and openrouter/router/vision (overridable with FAL_SITE_MODEL).
• fal-ai/gpt-image-2: greenfield hero + mockup renders.
• fal-ai/gpt-image-2/edit: screenshot-to-redesign transformation.

Usage pattern for agents

1. Check FAL_KEY. If unset, ask the user to export it and stop.
2. Pick the mode.

• If the user references a file path that exists or a URL (http://localhost:...) → node runtime/bin/fal-site.mjs upgrade.
• Otherwise → node runtime/bin/fal-site.mjs generate.

3. Run the script. Each upgrade pass takes 60–180s (1 screenshot + 2 vision calls + 1 image-edit). Emit a brief status to the user before calling.
4. Surface the result.

• Open after.png (Read tool) so the user sees the new design.
• Paste changes.md in the chat (or the highlights).
• Ask: "Want me to implement these changes in <file> now?"

5. If yes, implement. Read the current file. Apply the spec section by section, obeying the Hard constraints verbatim and pulling exact values from tokens.json. For imagery in the result grid, look at after.png directly and either use <img> placeholders at the matching aspect ratio or source stock that matches the mood.
6. Optional iterate. After implementation, offer node runtime/bin/fal-site.mjs iterate --target <file> --reference <after.png> for a residual delta-spec. Apply deltas, refresh.

Model notes

• Opus 4.7 handles multi-image reasoning and produces precise design specs. For 3× cheaper runs with near-parity on this task, set FAL_SITE_MODEL=anthropic/claude-sonnet-4.6.
• gpt-image-2/edit is the right primitive because it edits an existing screenshot while preserving legible in-image text, avoid substituting other image models here.

Runtime details

The skill ships a small Node 18+ runtime under runtime/ (puppeteer, @fal-ai/client, sharp). First-time setup: cd runtime && npm install. Override the runtime path with FAL_SITE_RUNTIME=/abs/path.