Writing & Content Workflows

Generate an image from a text description using Cloudflare Workers AI (the flux-1-schnell model). Use this skill whenever the user wants to create, generate, make, or draw an image / picture / logo / icon / thumbnail / wallpaper / banner from a text idea and mentions Cloudflare, or is working in this repo and asks for a quick generated image. Claude expands the user's request into a strong image prompt, runs the bundled generate.py, and saves a JPG to disk. Trigger on phrases like "generate an image of", "make me a picture of", "create a thumbnail for", "cloudflare image", or a plain description paired with a request for an image. Requires CFACCOUNTID and CFAPITOKEN in the project's .env.

Generate PNG images by building a real Three.js 3D scene and capturing one frame headlessly — no image model involved. Takes a text prompt and an aspect ratio (1:1, 16:9, or 9:16) and produces a rendered PNG. Use this skill whenever the user asks to generate, create, or render an image, picture, scene, wallpaper, thumbnail background, or product shot with this system — especially with phrases like "generate an image of", "render a scene", "create a PNG", "no image model", "3D render of", or a prompt paired with an aspect ratio. Also use it when the user wants an image in a named visual style (dark studio, Apple light, nature, sunset, night, underwater). Not for editing existing images, 2D vector art, or animated video (VidTSX handles video).

Generate a polished PNG graphic from a text prompt and an aspect ratio. This is a CODE-BASED design generator (not a diffusion/photo model): it builds images from gradients, mesh fields, glow, grain, geometric shapes, and real typography. Use it whenever the user wants to create / generate / make an "image", poster, cover, wallpaper, banner, thumbnail, album art, story or reel cover, quote card, or any graphic from a description — optionally with words to render and a size or ratio (e.g. 1:1, 4:5, 9:16, 16:9, 2:3, 1:2, or WxH). It excels at designed, typographic, abstract, gradient, and geometric/Bauhaus/Swiss graphics and soft product-style visuals. It CANNOT produce photorealistic photos, real named people, brand logos, or copyrighted characters — for those, translate intent into a strong designed/stylized take instead.

Splits a plain English story into a numbered list of SCENES — each scene being one moment that gets exactly one illustration AND one narration clip downstream. The first step of the AI Storybook pipeline. Tuned for beginner-level stories (short sentences, ~8-12 scenes), with a per-scene length cap so each scene fits one phone screen without scrolling. Use this skill whenever the user wants to split a story into scenes, prepare a story for the storybook pipeline, break a story into pages/panels, or produce a scenes spine for the illustrator and narrator. Trigger on phrases like "split this story into scenes", "break this into pages", "prepare this story for the storybook", "make scenes for illustration", or whenever the user provides an English story and wants it chunked for a picture-book pipeline. Outputs a {slug}scenes.json file consumed by the story-illustrator and story-narrator so they produce aligned output (1 image + 1 audio per scene).

Final step of the AI Storybook pipeline. Consolidates the scenes, images, and per-scene audio into ONE self-contained HTML storybook — a swipe/tap player with every image and audio clip embedded as base64 so the single file works offline and can be shared as-is. Reads {slug}scenes.json, {slug}images.json, and {slug}audio/, then writes {slug}story.json and {slug}.html. Use this skill whenever the user wants to build the final storybook, export to HTML, package the story, make the storybook file, generate the HTML, or wrap up the pipeline. Trigger on phrases like "build the storybook HTML", "export to HTML", "make the final file", "package the storybook", "generate the storybook", "wrap up the pipeline", or whenever the scenes + images + audio all exist and the user wants the single shareable file. Produces a single self-contained .html (images + audio embedded).

Generates a consistent illustrated image for every scene of a story — keeping characters, locations, and visual style coherent across the whole sequence using cascading reference images. Reads a {slug}scenes.json (from scene-splitter), proposes a visual style, ASKS the user for the aspect ratio and image model, extracts a visual bible, drafts a continuity-classified shot list, generates one reference image per character + location, then one image per scene (with a strict no-text/no-border constraint), and records every image in {slug}images.json. Images are generated through the Fal API via the bundled falimage.py script, with a pluggable model registry (nano-banana-2, nano-banana-pro, seedream-4, or any Fal model you add). Use this skill whenever the user wants to illustrate a story, generate scene images, draw the pictures for a storybook, build the illustrations, or produce a consistent visual sequence. Trigger on phrases like "illustrate this story", "generate the images", "draw the scenes", "make the pictures", "visualize this story", or whenever scenes.json exists and the user wants images. Requires a Fal API key (FALKEY in the environment or a .env file).

Generates one expressive narration MP3 per scene for an English storybook, using the ElevenLabs MCP (texttospeech). Reads {slug}scenes.json (from scene-splitter), proposes a warm storyteller voice, drafts the narration text per scene (optionally with Eleven v3 audio tags for emotion), lets the user review, then generates one MP3 per scene saved as {slug}partNN.mp3 so it pairs by index with the scene's image. Use this skill whenever the user wants to narrate a story, generate per-scene audio, voice a storybook, create read-along narration, or produce TTS for the storybook pipeline. Trigger on phrases like "narrate this story", "generate the audio", "voice the storybook", "make the narration", "read this story aloud", or whenever scenes.json exists and the user wants spoken audio. Requires the ElevenLabs MCP connected.

Orchestrator that runs the full AI Storybook pipeline end-to-end on one English story. Dispatches the 4 component skills in order — scene-splitter → story-illustrator → story-narrator → story-html-publisher — using the locked filename convention {slug} and {slug}partNN.{png,mp3} so every image and audio clip pairs by scene index, ending with one self-contained HTML storybook. Use this skill whenever the user wants to run the pipeline, make a storybook from a story, turn a story into an illustrated narrated storybook, process a story end to end, or build the storybook without invoking each skill by hand. Trigger on phrases like "run the pipeline on stories/my-story.md", "make a storybook from this", "turn this into a storybook", "build the storybook end to end", "process this story", or whenever the user drops an English story in stories/ and wants the full split → illustrate → narrate → HTML flow. Preserves every sub-skill's hard gate. Optionally accepts "with QA" to enable the illustrator's vision-QA pass.