agentsclimarketplace

Video gen

Skill frankxai/creator-skills/skills/video/video-gen

Creator-lane agent skills from Agentic Creator OS. Install: npx skills add frankxai/creator-skills

Install
npx -y skills add frankxai/creator-skills --skill video-gen

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Route any image or video generation request to the right engine and pipeline. Use when asked to "make a video", "generate an image", "create b-roll", "make a video ad", "animate this photo", "clip for socials", "product shot", "talking head", "faceless video", "YouTube short", "UGC video", or any multi-step visual content request. Classifies intent by deliverable, identity consistency, and destination, dispatches to installed engine skills (Higgsfield, Nano Banana, Grok Imagine), then chains assembly (HyperFrames) and editing/publishing (Descript). For pricing or capability ceilings, hand off to video-engine-routing.

SKILL.md

5.4 KB, as published. Nobody here has run it

video-gen — the routing brain for visual content

One dispatcher, many engines. Intents stay stable; engines are swappable. When an engine changes, this file changes — the prompts and pipelines that call it do not.

Stack prerequisites

This skill routes to engines you install separately. Missing engines degrade gracefully — the router picks the next-best available and says so.

EngineRoleInstall
Higgsfield CLI + skillsDefault image and video engine (paid account)curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh, then sync the vendor skills (higgsfield-generate, higgsfield-soul-id, higgsfield-product-photoshoot, higgsfield-marketplace-cards)
Gemini API keyNano Banana image gen and edits (character/reference work)GEMINI_API_KEY env var
Grok ImagineFast stylized images if you have a SuperGrok subscriptionvendor CLI/app
HyperFramesHTML video compositions, captions, TTS, audio-reactive motionnpx hyperframes + its skills
Descript MCPEdit by editing text: cuts, filler removal, captions, publishconnect the Descript MCP server

Step 1 — classify the request

Three axes decide everything downstream:

AxisValues
Deliverablestill image · single clip (≤15s) · assembled video (edited, multi-scene)
Identity consistencynone · product (same object every shot) · face (same person every shot)
Destinationsocial feed · marketplace listing · YouTube · website/hero · ad campaign

If the user did not specify duration, aspect ratio, or destination, infer from context; ask only when the answer changes the engine choice.

Step 2 — dispatch

IntentRouteWhy
Product/brand stillhiggsfield-product-photoshootprompt templates for studio, lifestyle, hero, carousel
Marketplace listing sethiggsfield-marketplace-cardscompliant main image + secondary + A+ modules
Same face across shotshiggsfield-soul-id (train once) → higgsfield-generate with the Soul ididentity persists across images and video
Generic still, design, legible texthiggsfield-generate (GPT Image 2)strongest text rendering
Character/reference image editNano Banana via Gemini APIbest reference-following for edits
Fast stylized stillGrok Imagineincluded in a SuperGrok subscription, zero marginal cost
Single video clip, defaulthiggsfield-generate (Seedance 2.0)best price/quality for social clips
Single video clip, cinematichiggsfield-generate (Kling 3.0)motion quality, camera control
Branded ad with avatar/productHiggsfield Marketing Studio (via higgsfield-generate)hooks, avatars, product placement in one flow
Captions, title cards, audio-reactive motion, scroll videoHyperFrames compositiondeterministic HTML video, no generation cost
Cut, rearrange, remove filler, subtitle, publishDescript MCP (import_mediaprompt_project_agent → export)text-based editing beats timeline scrubbing

Fallback order when an engine is missing: Higgsfield → Nano Banana (images only) → Grok Imagine (images only). If no video engine is installed, stop and say which install unblocks.

Step 3 — pipelines

30-second product ad

  1. higgsfield-product-photoshoot → 3 stills (hero, lifestyle, closeup)
  2. higgsfield-generate image-to-video on the hero (Seedance 2.0, 5s)
  3. HyperFrames: title card + price overlay + end card around the clip
  4. Descript: assemble, caption, export per destination aspect ratio

Faceless YouTube b-roll batch

  1. Script beats → one prompt per beat
  2. higgsfield-generate batch (Seedance 2.0, 5s each)
  3. Voiceover: HyperFrames TTS, or ElevenLabs if the user has it
  4. Descript: import all, sequence to narration, auto-captions

Talking-head with a consistent face

  1. higgsfield-soul-id: train once, store the reference id
  2. higgsfield-generate with the Soul id → presenter clips
  3. Descript: filler-word removal, captions, publish

Caption-heavy short (quote/hook format)

  1. Still from the dispatch table (or user-supplied)
  2. HyperFrames: audio-reactive captions, marker highlights, beat-synced motion
  3. Render via HyperFrames; no Descript needed

Quality gate before publishing

For anything going to a paid placement or a growth channel, run the Higgsfield virality predictor (brain_activity) on the finished cut: hook strength, retention risk, distraction. Score low → fix the first 2 seconds before touching anything else.

When you hit a ceiling

Credits exhausted, need a custom pipeline (LoRA, ControlNet, motion transfer), or per-clip cost matters at volume → hand off to the video-engine-routing skill. It holds the decision tree and current pricing for subscription vs pay-per-use vs cloud ComfyUI.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.