hassancs91

@hassancs91 source repo

21 skills
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Suggest Sfx 2 · hassancs91
The SFX pass. Analyze a short's beats + narration and propose tasteful sound effects synced to them, drawing from (and growing) a shared, reusable SFX library, then render an SFX-mixed audition preview. Use when the user wants to "add SFX / sound effects", "suggest sfx", "score the transitions", "sound-design this beat", generate/source sound effects, build or extend the sfx library/catalog, author or audit a sfx-plan, or mix SFX over a rendered short in this repo. Covers reading beats + word times + brand §7, the library-first flow, generating misses with the ElevenLabs Sound Effects API, the per-video sfx-plan.json, the hard user-audit gate, and mixing with tools/mix_sfx.py (light voice ducking).

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Make Vox · hassancs91
Build a Vox-style LAYERED-COLLAGE vertical short end-to-end — script + scene dissection into image layers, layer production (AI images via gen_image.py + cutout.py, HTML→PNG, SVG-in-TSX), choreographed TSX assembly on the collage kit (CollageBoard camera, parallax, cutouts, chips, routes), frame QA, render, then voice/SFX via the shared machinery. Use when the user wants a "vox style", documentary, or explainer-collage short, a map-travel or archival-history sequence, or to continue the vox-N series — the paper-collage look, not plain TSX animation (that is make-short) and not video-model pixels (that is make-ai-short). Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx.

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Make Short · hassancs91
Build a fully-synthetic vertical short (1080×1920, ~40s) end-to-end from a topic — script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excel…), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track — for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand §7.

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Make AI Short · hassancs91
Build a GENERATIVE-pixels vertical short (1080×1920, ~35-40s) end-to-end — a recurring locked character animated by a fal video model (Seedance 1.5 Pro default) under a philosophical/story VO, composited in Remotion with word-synced captions, SFX audition, seamless frame-0==last-frame loop. Use when the user wants to "make an AI video short", "make an ai short", "make a blue-man video", or any short where the pixels come from a VIDEO MODEL — not TSX animation (that is make-short) and not layered collage (that is make-vox). Defers model choice re-litigating to ai-shorts/IDEAS.md, TSX crash rules to vidtsx-2d-generator, SFX taste to suggest-sfx + brand §7.

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Vidtsx 2d Generator · hassancs91 bundle
Generate production-ready 2D TSX video files for VidTSX (Remotion-based) from a shot, scene, or video description. Use whenever the user wants to create or generate a VidTSX video, a 2D TSX shot or scene, an animated clip, title card, or rendered motion graphic — including when they describe a visual animation they want built, or say "make a shot", "build this scene", "generate the TSX", or "turn this into a video". Covers the mandatory file structure and composition config, dimension presets (horizontal/vertical/square), six style presets (minimalist, memphis, neo-brutalism, glassmorphism, neon, corporate), and the hard rules that keep renders from crashing, covering frame-based animation only (no useState/useEffect/setTimeout), strictly monotonic interpolate ranges, Easing.bezier not wrapper syntax, and the chroma-js and @remotion/paths import gotchas. Not for 3D/three.js compositions, general React work, or editing video files.

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Make Tsx · hassancs91
Step 2 of the AI Video Editor pipeline — build the visual beats (Remotion TSX shots) over a project's master cut and bake a composited preview. Use when the user wants to add/edit overlays or full-screen animation segments, "make a shot / beat", implement an edit plan or a v2 update, retime a beat to the narration, re-render shots, or re-bake the video-N preview in this repo. Covers reading the plan + edited-transcript + brand + reusable kit, authoring shots library-first, syncing reveals to word times, updating timeline.json (cutaway vs overlay), rendering, verifying by screenshot, and baking with tools/bake.py. Defers raw TSX authoring rules to vidtsx-2d-generator and the cut itself to clean-cut.

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Clean Cut · hassancs91
Step 1 of the AI Video Editor pipeline — turn raw talking-head footage into a clean master cut. Use when the user wants to "clean cut", "cut the raw footage", "remove filler / dead air / bad takes", "tighten the pacing", produce cuts.json, run the cut editor, or render a cleaned preview/master for a video-N project in this repo. Covers audio extraction, AssemblyAI transcription, authoring cuts.json (keeps/cuts/fluff categorized), the cut policy (content-aggressive, pause-natural ~0.5s), QA + review docs, the local cut-editor UI, tight/natural previews, the final 4K60 render, and producing edited-transcript.json as the handoff to /make-tsx. Not for building TSX overlays (that is /make-tsx) or the raw TSX authoring rules (that is vidtsx-2d-generator).

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Youtube Packaging · hassancs91 bundle
Generates click-optimized YouTube packaging — 3 thumbnail bets under one fixed title, engineered for YouTube's built-in A/B/C thumbnail test, plus a value-forward description, then renders the thumbnails as real images. Use this whenever you want to package a long-form video or turn a video idea into titles and thumbnails. Triggers include how would you package this, title ideas for, thumbnail concept, package this video, A/B variations, and make this clickable. Calibrates to your channel's own CTR data if you have it. Long-form only, never Shorts. Not for non-YouTube copywriting.

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Youtube Thumbnail · hassancs91 bundle
Dedicated YouTube thumbnail generator — interviews you for exactly the style elements you want (environment, text budget, extras, accent color), then renders high-contrast, vibrant, face-consistent thumbnails with Nano Banana Pro and verifies every frame before showing it. Use whenever you want to create, redo, or iterate thumbnail variants for a video — "make a thumbnail", "new version of B", "more realistic", "less text", "put the app on the screen", "another angle for the test". Renders into videos/<project>/packaging/thumbs/. Works standalone or as the render engine for Stage 5 of /packaging (which owns titles, bets, and descriptions).

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Brand Setup · hassancs91
Makes this repo's videos look like YOUR channel instead of the house default — interviews you for palette, fonts, wordmark, motion energy, delivery specs and SFX taste, then rewrites brand.md + remotion/src/brand.ts + remotion/src/fonts.ts together and renders a proof card so you SEE it. Use whenever the user wants to set up or change their brand, rebrand the repo, "make it my colors/fonts", change the accent color, set their wordmark, adjust the motion feel, or asks why their videos look like someone else's. Run it once before the first video. Not for per-video art direction (that is /make-tsx) and not for thumbnails, which are deliberately louder than the brand (that is /packaging).

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Clean Audio · hassancs91
Voice/audio cleanup step of the AI Video Editor pipeline — diagnose a video's background noise, pick the right denoise method, and produce a cleaned master (voice isolated, levels preserved, video stream copied). Use when the user wants to "clean the audio / voice", "remove background noise", "denoise", "isolate voice", fix outdoor/room/water/hum/hiss noise, run ElevenLabs Voice Isolator or local RNNoise, A/B denoise methods, or produce a cleaned master for a video-N in this repo. Covers diagnosing the noise (spectrogram + levels), choosing eleven vs rnnoise by noise type, the sample A/B, tools/clean_voice.py, preserving levels (RMS-match, not LUFS), and rewiring the pipeline to the clean master. Not the SFX/music mix (that is /suggest-sfx + the final-mix step) and not the cut (that is /clean-cut).

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Suggest Sfx · hassancs91
Step 4 of the AI Video Editor pipeline — the SFX pass. Analyze a video's beats + narration and propose tasteful sound effects synced to them, drawing from (and growing) a shared, reusable SFX library, then render an SFX-mixed audition preview. Use when the user wants to "add SFX / sound effects", "suggest sfx", "score the transitions", "sound-design this beat", generate/source sound effects, build or extend the sfx library/catalog, author or audit a sfx-plan, or mix SFX over a video-N preview in this repo. Covers reading timeline + edited-transcript + brand §10, the library-first flow, generating misses with the ElevenLabs Sound Effects API, the per-video sfx-plan.json, the hard user-audit gate, and mixing with tools/mix_sfx.py (light voice ducking). Not the music bed (that is the final-mix step) and not the visual beats (that is /make-tsx).

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Fake Screencast · hassancs91
fake-screencast — screenshots → simulated screen recording

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Scene Splitter · hassancs91
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).

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Story Narrator · hassancs91
Generates one expressive narration MP3 per scene for an English storybook, using the ElevenLabs MCP (text_to_speech). 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}_part_NN.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.

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Story Illustrator · hassancs91 bundle
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 fal_image.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

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Storybook Pipeline · hassancs91
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}_part_NN.{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 pas

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Story HTML Publisher · hassancs91 bundle
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).

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Prompt To Design · hassancs91 bundle
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.

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3d Image Renderer · hassancs91 bundle
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).

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Cf Image · hassancs91 bundle
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 CF_ACCOUNT_ID and CF_API_TOKEN in the project's .env.

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21 published skills