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Seedance Cog

v1.0.8

AI video generation powered by CellCog via Seedance. Cinematic 1080p video with smooth motion, multi-shot narratives, lipsync, voice synthesis, scoring. Comp...

2· 886·6 current·6 all-time
byCellCog@nitishgargiitd
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Capability signals
CryptoRequires sensitive credentials
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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OpenClawOpenClaw
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medium confidence
Purpose & Capability
The skill's name and description (Seedance / CellCog video generation) match the SKILL.md content: it instructs the agent to use the CellCog SDK to orchestrate Seedance and other models. However, the SKILL.md frontmatter lists a dependency 'cellcog' and the text requires setting CELLCOG_API_KEY, but the registry metadata lists no required env vars or declared dependency — an inconsistency.
Instruction Scope
The runtime instructions are focused on creating video tasks via the CellCog client and on install/auth steps. They do not instruct the agent to read arbitrary files or exfiltrate unrelated data. One item to note: examples use notify_session_key values (e.g., 'agent:main:main') which cause interaction with agent sessions — expected for an orchestration skill but worth confirming intended behavior.
Install Mechanism
This is an instruction-only skill (no install spec), so nothing is automatically downloaded by the skill itself. The SKILL.md tells users to run '/cellcog-setup', 'clawhub install cellcog', or 'pip install -U cellcog' — normal for an SDK-based integration, but installing third‑party pip packages runs code from PyPI and should be vetted separately.
!
Credentials
SKILL.md explicitly tells users to set CELLCOG_API_KEY (and references authentication/setup flows), but the registry metadata declares no required environment variables or a primary credential. The skill will need at least one API key to function; the omission is a mismatch that could confuse users and hide a credential requirement.
Persistence & Privilege
The skill does not request always:true and does not claim elevated persistence. Autonomous invocation is allowed (default) which is normal for skills; nothing in the file attempts to modify other skills or system-wide agent settings.
What to consider before installing
Before installing or enabling this skill: 1) Ask the publisher to correct the registry metadata to declare the 'cellcog' dependency and a required primary env var (e.g., CELLCOG_API_KEY) so you know what credentials are needed. 2) Only provide an API key you control and understand the billing/privacy implications — the skill calls an external video-generation service and will upload prompt/content. 3) Review the 'cellcog' SDK (pip package) source or verify publisher trustworthiness before running pip install, since packages execute code at install time. 4) Confirm how notify_session_key/agent modes are used so you know which agent sessions get notifications or outputs. 5) If you have low tolerance for data leakage, test the integration in an isolated account/project with limited credentials or a throwaway API key first.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🌱 Clawdis
OSmacOS · Linux · Windows
latestvk9794fhy9jgr6qh15xb3bh1nk584vkkp
886downloads
2stars
9versions
Updated 9h ago
v1.0.8
MIT-0
macOS, Linux, Windows

Seedance Cog - Seedance × CellCog

Seedance × CellCog. ByteDance's #1 video model meets the frontier of multi-agent coordination.

Seedance generates the smoothest motion in AI video — cinematic 1080p with physics that look real. CellCog orchestrates it with scripting, voice synthesis, lipsync, scoring, and editing to produce complete videos from a single prompt. Not just clips — full productions.

How to Use

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",
)

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",
)
print(result["message"])

What You Can Create

Marketing Videos

Professional marketing content from a single prompt:

  • Product Demos: "Create a 60-second product demo video for our project management app"
  • Brand Videos: "Create a 30-second brand story video for a sustainable fashion startup"
  • Social Ads: "Create a 15-second Instagram ad for our new coffee blend"
  • Testimonial Style: "Create a UGC-style testimonial video for a fitness product"

Explainer Videos

Clear, engaging educational content:

  • Product Explainers: "Create a 90-second explainer for how our API works"
  • Concept Videos: "Create a video explaining blockchain in simple terms"
  • Tutorial Videos: "Create a step-by-step tutorial video on setting up a home network"

Cinematic Content

High-quality visual storytelling:

  • Short Films: "Create a 2-minute short film about a robot discovering nature"
  • Music Videos: "Create a cinematic music video with dramatic landscapes"
  • Brand Films: "Create a cinematic brand film for a luxury watch company"

Spokesperson Videos

AI-generated presenters with lipsync:

  • News Reports: "Create a news-style report on recent AI developments"
  • Training Videos: "Create a training video with a presenter explaining safety protocols"
  • Announcements: "Create a product launch announcement with a spokesperson"

CellCog Video Orchestration

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:

  • Seedance for video generation
  • Frontier LLMs for scripting
  • TTS models for voice synthesis
  • Lipsync models for speaker alignment
  • Music generation for scoring
  • Automated editing for pacing and transitions

Video Specifications

SpecDetails
ResolutionUp to 1080p
Duration3 seconds to 4 minutes
StylesPhotorealistic, cinematic, anime, stylized, documentary
AudioVoice synthesis, background music, sound effects
OutputMP4

Chat Mode for Video

ScenarioRecommended Mode
Short clips (under 30s), simple videos"agent"
Full productions with scripting, multiple scenes, music"agent"
Grand cinematic productions, complex narratives"agent team"

Use "agent" for most video work. CellCog handles full video production in agent mode.


Tips for Better Videos

  1. 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"

  2. Specify duration: "30-second social ad" vs. "2-minute explainer" sets the pacing.

  3. Set the mood: "Upbeat and energetic", "calm and professional", "dramatic and cinematic"

  4. Mention music preferences: "Uplifting corporate background", "lo-fi beats", "cinematic orchestral" — or let CellCog choose.

  5. For spokesperson videos: Describe the presenter's appearance and tone of voice.


If CellCog is not installed

Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate. OpenClaw users: Run clawhub install cellcog instead. Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.

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