plugins/media-processing/skills/creating-video/SKILL.md
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.
npx skillsauth add oaustegard/claude-skills creating-videoInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
scripts/omni_generate.py, run detached.parsing-video on each clip and on the assembled cut.scripts/assemble.py, run detached.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):
input:"" returns 200 and bills a full
generation (~58k video output tokens). Every request costs money; never
"validate" with a throwaway call.negativePrompt parameter (Veo had one; Omni 400s on unsupported
params). --negative folds into the prompt as "Do not include: X."delivery:"uri" → poll files/{id} to ACTIVE → download
via the gateway. The script always uses uri delivery, inline base64 as
fallback.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.
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:
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).
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.)
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.
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).[0-3s] ... [3-6s] ... timecode syntax or natural
language ("after 3 seconds, ...") controls beats inside a clip.assemble.py --overlay-last) remains an option for cross-clip title cards.scripts/veo_generate.py --list to enumerate models; strings drift).development
Write effective instructions for Claude: project instructions, standalone prompts, and skill content. Use when users need help writing prompts, setting up project instructions, choosing between instruction formats, or improving how they communicate with Claude. Covers writing principles, model-aware calibration, and format selection. For building and testing complete skills, use skill-creator instead.
data-ai
Discover and load skills on demand from /mnt/skills/user/. Use when you need a capability but don't know which skill provides it, when the boot-emitted skill list is names-only and you need a full description, or when you want to list the catalog. Verbs are list (names only), search (rank by name/description match against a query), and show (emit the full SKILL.md for a named skill).
documentation
Reads the visual content of slides, pages, and images the way a human would, not just their embedded text. Use when a PPTX or PDF has image slides, screenshots, charts, scanned figures, or flattened-to-image layouts that the built-in pptx/pdf skills read as empty; when asked to transcribe, describe, OCR, or extract what is shown in an image, slide deck, or document page; or when embedded-text extraction returned little or nothing from a visually rich file. Triggers on 'read this deck', 'what's on these slides', 'transcribe', 'OCR', 'extract text from image', 'describe this chart/diagram', .pptx/.pdf/.png/.jpg with visual content.
development
Portrait Mode for SVGs — foveated vectorization with 4-zone selective detail. Combines vision annotations, MediaPipe segmentation/landmarks, and optional saliency. Like phone portrait mode, but vectorized. Use when vectorizing a portrait or photo where subject detail should outrank background detail.