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Image Generation
Skill

/fal-redesign

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

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fal-ai-community-skills
25217 skills
Install
$ npx -y skills add fal-ai-community/skills --skill fal-redesign --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/fal-redesign

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

fal-redesign.SKILL.md
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`.

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Agent skills for fal.ai. The default execution path is the genmedia CLI: discover an endpoint, inspect its schema, run it, poll status when needed, and download outputs.

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