From openrouter
Generates videos from text prompts or reference images via OpenRouter's async video API. Handles job submission, status polling every 30s, and MP4 download using curl and jq.
How this skill is triggered — by the user, by Claude, or both
Slash command
/openrouter:openrouter-videoThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Generate videos via OpenRouter's async `POST /api/v1/videos` using `curl` + `jq`. Requires `OPENROUTER_API_KEY` (get one at https://openrouter.ai/keys). If unset, stop and ask.
Generate videos via OpenRouter's async POST /api/v1/videos using curl + jq. Requires OPENROUTER_API_KEY (get one at https://openrouter.ai/keys). If unset, stop and ask.
Video generation is async: submit → poll → download. A single request can't return the video because generation takes 30s–a few minutes. Tell the user the job was submitted so they know the delay is expected.
POST /api/v1/videos → { id, polling_url, status: "pending" }GET <polling_url> every ~30s until status is completed (terminal failures: failed, cancelled, expired — surface the error field verbatim)GET /api/v1/videos/{id}/content?index=0 with the auth header → MP4 bytesresolution, aspect_ratio, duration, and frame_images[].frame_type are per-model. Before the first submit for a new model (or whenever the user asks for something specific), fetch the model's capabilities and only send values from the returned sets:
curl -sS https://openrouter.ai/api/v1/videos/models \
| jq '.data[] | select(.id == "MODEL_ID")'
Fields on each model worth knowing: supported_resolutions, supported_aspect_ratios, supported_sizes, supported_durations (often discrete like [4,6,8], not a range), supported_frame_images (which frame_type values are accepted), generate_audio and seed (capability bools), pricing_skus, and allowed_passthrough_parameters. An out-of-set value returns a 400, so validate client-side.
#!/usr/bin/env bash
set -euo pipefail
PROMPT="a golden retriever playing fetch on a sunny beach"
MODEL="google/veo-3.1"
OUTPUT="video-$(date +%Y%m%d-%H%M%S).mp4"
# Build payload — extend with resolution/aspect_ratio/duration/etc. as needed.
payload=$(jq -n --arg model "$MODEL" --arg prompt "$PROMPT" \
'{model: $model, prompt: $prompt}')
submit=$(curl -sS -X POST https://openrouter.ai/api/v1/videos \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d "$payload")
poll_url=$(echo "$submit" | jq -r '.polling_url')
echo "Submitted $(echo "$submit" | jq -r '.id')" >&2
while :; do
sleep 30
resp=$(curl -sS "$poll_url" -H "Authorization: Bearer $OPENROUTER_API_KEY")
# Avoid the name `status` — zsh treats it as read-only.
st=$(echo "$resp" | jq -r '.status')
echo "Status: $st" >&2
case "$st" in
completed) break ;;
failed|cancelled|expired)
echo "Generation $st: $(echo "$resp" | jq -r '.error // "unknown"')" >&2
exit 1 ;;
esac
done
curl -sS -L "$(echo "$resp" | jq -r '.unsigned_urls[0]')" \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
--output "$OUTPUT"
echo "$resp" | jq --arg out "$(realpath "$OUTPUT")" \
'{job_id: .id, generation_id, video_saved: $out, usage}'
Required: model, prompt. Common optional fields:
duration (int) — must be one of the model's supported_durations.resolution (string) / aspect_ratio (string) / size (string, "WxH") — size is interchangeable with resolution + aspect_ratio.generate_audio (bool) — only meaningful if the model's generate_audio capability is true.seed (int) — honored only if the model's seed capability is true.callback_url (HTTPS) — webhook instead of polling.frame_images[] — image-to-video; each entry is { type: "image_url", image_url: { url }, frame_type: "first_frame" | "last_frame" }.input_references[] — reference-to-video (style guidance); same entry shape, no frame_type. If both arrays are present, frame_images wins.provider.options.<slug>.parameters.<key> — provider passthrough, see below.Image url can be a public https:// URL or a local-file data URL: MIME=image/png; B64=$(base64 < file.png | tr -d '\n'); url="data:${MIME};base64,${B64}".
Provider-specific params go under provider.options.<slug>.parameters. The allowed keys for a given model are listed (flat) in allowed_passthrough_parameters on the models endpoint — but the meaning, value range, and required combinations come from the upstream provider's API docs (Google Vertex, Alibaba Dashscope, Kwai, ByteDance Volc Engine, MiniMax, OpenAI, etc.). Read the upstream docs before using an unfamiliar key; casing conventions differ between providers (Google/OpenAI use camelCase, most others use snake_case).
Example:
{
"model": "google/veo-3.1",
"prompt": "a time-lapse of a flower blooming",
"provider": {
"options": {
"google-vertex": {
"parameters": {
"personGeneration": "allow",
"negativePrompt": "blurry, low quality"
}
}
}
}
}
Pass callback_url (HTTPS) in the submit body. On terminal state, OpenRouter POSTs a video.generation.{completed,failed,cancelled,expired} event. Each delivery carries X-OpenRouter-Idempotency-Key: <job_id>-<status>. If a signing secret is configured on the workspace, verify X-OpenRouter-Signature: t=<ts>,v1=<hmac> — HMAC-SHA256 of <ts>,<raw_body> with the secret, reject timestamps older than ~5 minutes.
Video generation is not ZDR-eligible because the provider must temporarily retain the output for the async download step.
npx claudepluginhub openrouterteam/skills --plugin openrouterGenerate videos from text or images using Together AI, with keyframe control, model selection, async polling, and downloads.
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