mcpbeat

Creating Video

oaustegard/claude-creating-video

Create video from prompts by overseeing multi-clip AI generation end to end: write a shot list, generate each scene with Gemini Omni Flash (via the Cloudflare AI Gateway), review the results, and assemble them into a finished cut. Use when the user asks to make/generate a video, a short film, an animatic, or a multi-scene clip from a script or idea; when they mention Omni, Veo, text-to-video, or image-to-video; or when acting as the editing/director agent over generated footage. Triggers on 'make a video', 'generate a clip', 'short film', 'video from this script', 'turn this into a video', 'omni', 'veo', 'text to video', 'storyboard to video'. For transcoding/trimming/merging/GIF/subtitles use processing-video; for reading or summarizing existing video content use parsing-video.

This is a copy. The original lives at oaustegard/creating-video.

8k tokens
context cost
the whole folder, loaded on every use
5
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
137
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/oaustegard/claude-skills --skill creating-video

The instruction itself

8 sections, as written by the author

Creating Video

Claude cannot render video itself, but it can direct a generator. This skill drives

a multi-clip pipeline — script → per-scene generation → review → assembly

with Claude as the editing agent overseeing continuity and cut.

Requires ffmpeg/ffprobe and Cloudflare AI Gateway creds (/mnt/project/proxy.env).

Default model: Gemini Omni Flash (gemini-omni-flash-preview, Interactions

API) — Google's own guidance as of 2026-07. It beats Veo on character

consistency, reference-image control, text rendering, and conversational

editing, and generates faster (~30–90 s/clip vs 1–3 min). Fall back to **Veo

3.1** (scripts/veo_generate.py, kept intact) only for scene extension,

first+last-frame interpolation, or legacy pipelines — Omni supports neither.

The five stages

  • Shot list — break the story into beats, up to 10 s each, one prompt per shot.
  • Generatescripts/omni_generate.py, run detached.
  • Reviewparsing-video on each clip and on the assembled cut.
  • Assemblescripts/assemble.py, run detached.
  • Iterate — re-review, then edit failing scenes conversationally

(cheaper and more stable than regenerating from scratch).

Stage 2 — Generation (Omni via Cloudflare AI Gateway)

Auth is CF AI Gateway BYOK: proxy.env supplies CF_ACCOUNT_ID, CF_GATEWAY_ID,

CF_API_TOKEN; the Google key lives *inside* the gateway. Both the interactions

call and the files/{id}:download retrieval route through it (verified 2026-07-20).

Run detached. The Interactions API is *synchronous* — the HTTP call holds

open for the whole generation (~30–90 s/clip). bash_tool caps at ~50 s. Launch

and adaptive-wait on the DONE sentinel:

# prompts.json = {"1": "...", "2": {"text": "...", "images": ["ref0.png"]}, ...}
set -a; . /mnt/project/proxy.env; set +a
(setsid python3 scripts/omni_generate.py prompts.json --out omni/ \
    --negative "on-screen watermark" &)
# then, in a separate call:
timeout 45 sh -c 'while [ ! -f omni/DONE ]; do sleep 3; done'; cat omni/generate.log

Gotchas (all verified 2026-07-20 — the script already handles them):

  • No dry run exists. Even input:"" returns 200 and bills a full

generation (~58k video output tokens). Every request costs money; never

"validate" with a throwaway call.

  • No negativePrompt parameter (Veo had one; Omni 400s on unsupported

params). --negative folds into the prompt as "Do not include: X."

  • Videos >4MB need delivery:"uri" → poll files/{id} to ACTIVE → download

via the gateway. The script always uses uri delivery, inline base64 as

fallback.

  • Output is up to 10 s 1280×720 mp4 with synchronized audio + SynthID

watermark. No video extension, no first↔last-frame interpolation, no

multi-video referencing — those are Veo territory.

  • The egress proxy 503s on cold start → retry with backoff.

Omni defaults to multi-shot. Left alone it invents its own cuts inside a

clip, which fights a shot-list pipeline. Every per-scene prompt should say

"single continuous shot" / "no scene cuts" unless the beat wants internal cuts.

Stage 3 — Review (use the parsing-video skill)

Contact-sheet each clip and the assembled cut. Per-clip sheets miss cross-clip

continuity; the full-cut sheet is where character drift, prop jumps, and logic

breaks show up in one read (Oskar, 2026-07-18: review the whole assembly, not just

scenes). Scan every sheet against the continuity checklist:

  • Character — same face/hair/wardrobe across every shot they appear in.
  • Prop — same identity, size, color, and attachment point shot to shot.
  • Physical logic — is the world coherent (a window must be open before a bird

lands on the sill)?

  • Action completeness — is the key action actually *shown*, not cut around?

Stage 4 — Assembly (scripts/assemble.py)

Trims each clip to its beat, crossfades, drops audio by default, optionally burns

an overlay word, and holds the final frame so the ending lands.

(setsid python3 scripts/assemble.py omni/scene_1.mp4 ... omni/scene_6.mp4 \
    --out film.mp4 --tail-hold 1.3 &)

Run detached too — six trims plus a 30 s stitch exceed the bash ceiling on the

single-core container. Diagnosed: abrupt ending → --tail-hold; jarring cuts

between independently generated ambiences → audio dropped by default

(--keep-audio to acrossfade instead).

Stage 5 — Iterate by editing, not regenerating

results.json stores each scene's interaction_id. A failed detail (wrong

color, unwanted object, lighting) is a one-line conversational edit that

preserves everything else:

python3 scripts/omni_generate.py --edit <interaction_id> \
    "Make the scarf red. Keep everything else the same." --out omni/scene_3_v2.mp4

Simple edit prompts work best; append "Keep everything else the same." Reserve

full regeneration for scenes whose composition or action is wrong. (Editing

requires store=true, the script's default.)

Prompt craft — continuity is the hard part

The failure modes below came from real crits on 2026-07-18 (Veo era). Omni

narrows several of them but the disciplines still pay on the first pass.

  • Pin characters and props with reference images — the first-class fix for

the drift that text locks never fully solved under Veo. Generate one

canonical still per character/prop, put it in the scene's images list, and

bind it in the prompt: the woman <IMAGE_REF_0> is holding <IMAGE_REF_1>

(refs start at 0; <FIRST_FRAME> pins a starting frame instead).

  • Still lock a character sheet in text. One verbatim appearance/wardrobe

block, reused in every shot with that character — references constrain, text

directs.

  • Lock the setting. One room/location description across co-located scenes.
  • Name the actor in every shot ("the same woman's hands") — never leave it to

the model to infer who is on screen.

  • Spell out scene logic — physical coherence, the correct order of beats,

and *show* the payoff action rather than cutting away from it.

  • Timing is promptable. [0-3s] ... [3-6s] ... timecode syntax or natural

language ("after 3 seconds, ...") controls beats inside a clip.

  • On-screen text now renders reliably — spell out exactly what any visible

text should say (signs, labels, title cards). Burning text in assembly

(assemble.py --overlay-last) remains an option for cross-clip title cards.

  • Audio is promptable. Describe the track ("no dialogue", "calm background

music") or Omni invents one per clip — which still won't match across clips;

assembly drops audio by default for that reason.

Scope

  • Transcode / trim / merge / GIF / subtitles → processing-video.
  • Reading, summarizing, or QA of existing video content → parsing-video (also

the review step here).

  • Scene extension / first+last-frame control → the retained Veo path

(scripts/veo_generate.py --list to enumerate models; strings drift).

How to use it

Copy the folder

Take oaustegard/claude-creating-video from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.