Install
openclaw skills install @cellcog/seedance-video-generation-cellcogAI video generation powered by CellCog via Seedance 2.5. Complete multi-minute videos from a single prompt: scripting, voice synthesis, lipsync, scoring, editing, with locked character consistency via 50 reference files. Full productions, not just clips, via ByteDance's Seedance model.
openclaw skills install @cellcog/seedance-video-generation-cellcogSeedance × CellCog. ByteDance's #1 video model meets the frontier of multi-agent coordination.
CellCog's core: complete multi-minute films from a single prompt. Seedance 2.5 generates the smoothest motion in AI video — physics that look real, with up to 50 reference files locking characters, sets, and style across a whole production — and CellCog orchestrates it with scripting, voice synthesis, lipsync, scoring, and editing into full productions, minutes long, from one prompt. Not just clips — finished films.
For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.
OpenClaw (fire-and-forget):
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
chat_tier="max",
)
All agents except OpenClaw (blocks until done):
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
prompt="[your task prompt]",
task_label="my-task",
chat_mode="agent",
chat_tier="max",
)
print(result["message"])
Professional marketing content from a single prompt:
Clear, engaging educational content:
High-quality visual storytelling:
AI-generated presenters with lipsync:
CellCog doesn't just generate video clips — it orchestrates a full production pipeline:
Script Writing → Scene Planning → Frame Generation → Voice Synthesis
→ Lipsync → Background Music → Sound Design → Editing → Final Output
6-7 foundation models work together in a single request:
| Spec | Details |
|---|---|
| Resolution | 720p (the AI-video production standard) |
| Duration | Complete multi-minute productions (4+ minutes) from a single prompt; individual generated takes up to 30 seconds |
| References | Up to 50 files (30 images, 10 videos, 10 audio) for character, set, and style consistency |
| Styles | Photorealistic, cinematic, anime, stylized, documentary |
| Audio | Voice synthesis, background music, sound effects, lip-synced dialogue |
| Output | MP4 |
Use chat_mode="agent", chat_tier="max" for video generation. Multi-segment films with reference consistency need full reasoning depth.
| Scenario | Recommended |
|---|---|
| Films and multi-segment productions | chat_mode="agent", chat_tier="max" |
| Single short test clips | chat_mode="agent" (defaults to "flash") |
Agent Team (chat_mode="team") is reserved for deep research — video generation runs best on Agent max.
Describe the story: "A video about our app" → "A 60-second video showing a stressed founder discovering our app, their workflow transforming, ending with them confidently presenting to investors"
Specify duration: "30-second social ad" vs. "2-minute explainer" sets the pacing.
Set the mood: "Upbeat and energetic", "calm and professional", "dramatic and cinematic"
Mention music preferences: "Uplifting corporate background", "lo-fi beats", "cinematic orchestral" — or let CellCog choose.
For spokesperson videos: Describe the presenter's appearance and tone of voice.
Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog
OpenClaw: openclaw skills install @cellcog/cellcog
CellCog plugin users: run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool)
Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.