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Xpersona Agent
AI video generation and production powered by CellCog. Marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, YouTube content. Up to 4-minute videos — scripted, voiced, scored, and edited from a single prompt. Skill: Video Generation Owner: cellcog Summary: AI video generation and production powered by CellCog. Marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, YouTube content. Up to 4-minute videos — scripted, voiced, scored, and edited from a single prompt. Tags: latest:1.0.18 Version history: v1.
clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:video-generation-cellcogOverall rank
#62
Adoption
9.9K downloads
Trust
Unknown
Freshness
Oct 9, 2026
Freshness
Last checked Oct 9, 2026
Best For
Video Generation is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, CLAWHUB, runtime-metrics, public facts pack
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
AI video generation and production powered by CellCog. Marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, YouTube content. Up to 4-minute videos — scripted, voiced, scored, and edited from a single prompt. Skill: Video Generation Owner: cellcog Summary: AI video generation and production powered by CellCog. Marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, YouTube content. Up to 4-minute videos — scripted, voiced, scored, and edited from a single prompt. Tags: latest:1.0.18 Version history: v1. Capability contract not published. No trust telemetry is available yet. 9.9K downloads reported by the source. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Clawhub
Artifacts
0
Benchmarks
0
Last release
1.0.18
Install & run
clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:video-generation-cellcogSetup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Vendor
Clawhub
Protocol compatibility
OpenClaw
Latest release
1.0.18
Adoption signal
9.9K downloads
Handshake status
UNKNOWN
Events
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Extracted files
3
Examples
6
Snippets
0
Languages
Unknown
python
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
chat_tier="max",
)python
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"])python
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
chat_tier="max",
)python
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"])python
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
)python
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"])SKILL.md
---
name: video-generation-cellcog
description: "AI video generation and production powered by CellCog. Marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, YouTube content. Up to 4-minute videos — scripted, voiced, scored, and edited from a single prompt."
metadata:
openclaw:
emoji: "🎬"
os: [darwin, linux, windows]
requires:
bins: [python3]
env: [CELLCOG_API_KEY]
author: CellCog
homepage: https://cellcog.ai
dependencies: [cellcog]
---
# Video Generation - AI Video Production
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
## 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):**
```python
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):**
```python
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"])
```
---
## What Videos You Can Create
### Marketing Videos
Promotional content for products and services:
- **Product Demos**: "Create a 30-second product demo video for our new fitness app showing key features"
- **Brand Videos**: "Generate a 60-second brand story video for an eco-friendly clothing company"
- **Social Ads**: "Create a 15-second Instagram ad for a coffee subscription service"
- **Launch Videos**: "Make a product launch announcement video for a new AI writing tool"
### Explainer Videos
Educational content that breaks down complex topics:
- **Product Explainers**: "Create an explainer video showing how our SaaS platform works"
- **Concept Explanations**: "Make a video explaining how blockchain works for beginners"
- **Process Walkthroughs**: "Generate a video explaining the mortgage application process"
- **Feature Tours**: "Create a video tour of our app's new dashboard features"
### Educational Videos
Learning content for courses and training:
- **Tutorial Videos**: "Create a tutorial video on Python list comprehensions"
- **Course Content**: "Generate a lesson video on the causes of World War I"
- **Training Materials**: "Make an employee onboarding video about our company values"_meta.json
{
"ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
"slug": "video-generation-cellcog",
"version": "1.0.18",
"publishedAt": 1787536894014
}skill-card.md
## Description: AI video generation and production powered by CellCog for marketing, product demos, explainers, education, spokesperson videos, social media, news reports, training materials, and cinematic videos up to 4 minutes from a single prompt. This skill is ready for commercial/non-commercial use. ## Publisher: [cellcog](https://clawhub.ai/user/cellcog) ### License/Terms of Use: MIT-0 ## Use Case: External users, developers, and creative teams use this skill to ask an agent to generate complete CellCog videos, including scripts, scenes, voice, music, and editing, for marketing, educational, social, and presentation workflows. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Prompts, scripts, files, or other submitted content may be processed by the CellCog external service. Mitigation: Do not submit confidential, regulated, customer, or secret material unless your organization has approved CellCog's data handling. Risk: Installation and setup require trusting the CellCog package source and using a CellCog API key. Mitigation: Confirm the publisher and package source before installation, avoid elevated privileges, and store CELLCOG_API_KEY using your normal secret-management process. Risk: Long-form AI video generation can be unpredictable and may consume credits without producing a usable result. Mitigation: Start with tightly scoped prompts, specify duration and aspect ratio, test shorter outputs first, and review generated videos before production use. ## Reference(s): - [CellCog Homepage](https://cellcog.ai) - [ClawHub Video Generation Skill](https://clawhub.ai/cellcog/skills/video-generation-cellcog) - [CellCog Publisher Profile](https://clawhub.ai/user/cellcog) ## Skill Output: **Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] **Output Format:** [Markdown guidance with Python snippets and shell commands] **Output Parameters:** [1D] **Other Properties Related to Output:** [May initiate CellCog API requests that return generated video workflow results.] ## Skill Version(s): 1.0.18 (source: server release evidence) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
Editorial read
Docs source
CLAWHUB
Editorial quality
ready
AI video generation and production powered by CellCog. Marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, YouTube content. Up to 4-minute videos — scripted, voiced, scored, and edited from a single prompt. Skill: Video Generation Owner: cellcog Summary: AI video generation and production powered by CellCog. Marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, YouTube content. Up to 4-minute videos — scripted, voiced, scored, and edited from a single prompt. Tags: latest:1.0.18 Version history: v1.
Skill: Video Generation
Owner: cellcog
Summary: AI video generation and production powered by CellCog. Marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, YouTube content. Up to 4-minute videos — scripted, voiced, scored, and edited from a single prompt.
Tags: latest:1.0.18
Version history:
v1.0.18 | 2026-08-24T02:01:34.014Z | user
Content updated.
v1.0.17 | 2026-08-24T01:45:58.682Z | user
Content updated.
v1.0.16 | 2026-08-03T06:06:16.186Z | user
Content updated.
v1.0.15 | 2026-08-02T20:47:19.292Z | user
Display title updated.
v1.0.14 | 2026-07-17T03:42:28.149Z | auto
v1.0.13 | 2026-04-23T06:19:51.196Z | auto
v1.0.12 | 2026-04-14T17:33:33.969Z | auto
v1.0.11 | 2026-04-13T01:01:55.154Z | auto
v1.0.10 | 2026-04-12T23:36:37.274Z | auto
Changelog for video-cog v1.0.10
v1.0.9 | 2026-04-08T05:59:08.632Z | auto
v1.0.8 | 2026-04-06T05:08:19.541Z | auto
Summary: Major documentation simplification and focus in SKILL.md.
v1.0.7 | 2026-04-03T01:44:35.280Z | auto
v1.0.6 | 2026-04-03T00:08:57.728Z | auto
video-cog 1.0.6
v1.0.5 | 2026-03-27T04:18:27.758Z | auto
homepage and expanded metadata fields (including supported operating systems).v1.0.4 | 2026-03-25T23:56:37.906Z | auto
v1.0.3 | 2026-02-11T01:51:22.868Z | user
author and dependencies fields to metadata for clarity and package management.cellcog skill by package name.v1.0.2 | 2026-02-06T23:21:11.362Z | auto
v1.0.1 | 2026-02-05T05:45:33.787Z | auto
create_chat pattern with notify_session_key and task_label for fire-and-forget video generation.v1.0.0 | 2026-02-04T03:41:34.040Z | user
video-cog 1.0.0 – Initial Release
Archive index:
Archive v1.0.18: 3 files, 5661 bytes
Files: skill-card.md (2417b), SKILL.md (9200b), _meta.json (144b)
File v1.0.18:SKILL.md
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
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"])
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
Use chat_mode="agent", chat_tier="max" for video generation. Video production is a multi-step pipeline — script, scenes, frames, audio, synthesis, QC review — and needs full reasoning depth.
| Scenario | Recommended |
|----------|-------------|
| All video production | chat_mode="agent", chat_tier="max" |
| Trivial single-shot clips | chat_mode="agent" (defaults to "flash") |
Agent Team (chat_mode="team") is reserved for deep research — video generation runs best on Agent max.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still an evolving capability. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
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.
File v1.0.18:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.18", "publishedAt": 1787536894014 }
File v1.0.18:skill-card.md
AI video generation and production powered by CellCog for marketing, product demos, explainers, education, spokesperson videos, social media, news reports, training materials, and cinematic videos up to 4 minutes from a single prompt.
This skill is ready for commercial/non-commercial use.
MIT-0
External users, developers, and creative teams use this skill to ask an agent to generate complete CellCog videos, including scripts, scenes, voice, music, and editing, for marketing, educational, social, and presentation workflows.
Global
Risk: Prompts, scripts, files, or other submitted content may be processed by the CellCog external service.
Mitigation: Do not submit confidential, regulated, customer, or secret material unless your organization has approved CellCog's data handling.
Risk: Installation and setup require trusting the CellCog package source and using a CellCog API key.
Mitigation: Confirm the publisher and package source before installation, avoid elevated privileges, and store CELLCOG_API_KEY using your normal secret-management process.
Risk: Long-form AI video generation can be unpredictable and may consume credits without producing a usable result.
Mitigation: Start with tightly scoped prompts, specify duration and aspect ratio, test shorter outputs first, and review generated videos before production use.
Output Type(s): [text, markdown, code, shell commands, configuration, guidance]
Output Format: [Markdown guidance with Python snippets and shell commands]
Output Parameters: [1D]
Other Properties Related to Output: [May initiate CellCog API requests that return generated video workflow results.]
1.0.18 (source: server release evidence)
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
Archive v1.0.17: 3 files, 5636 bytes
Files: skill-card.md (2337b), SKILL.md (9183b), _meta.json (144b)
File v1.0.17:SKILL.md
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
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"])
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
Use chat_mode="agent", chat_tier="max" for video generation. Video production is a multi-step pipeline — script, scenes, frames, audio, synthesis, QC review — and needs full reasoning depth.
| Scenario | Recommended |
|----------|-------------|
| All video production | chat_mode="agent", chat_tier="max" |
| Trivial single-shot clips | chat_mode="agent" (defaults to "flash") |
Agent Team (chat_mode="team") is reserved for deep research — video generation runs best on Agent max.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still an evolving capability. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog
OpenClaw: clawhub install 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.
File v1.0.17:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.17", "publishedAt": 1787535958682 }
File v1.0.17:skill-card.md
AI video generation and production powered by CellCog for marketing videos, product demos, explainers, educational content, spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, and YouTube content up to four minutes from a single prompt.
This skill is ready for commercial/non-commercial use.
MIT-0
Developers and external users use this skill to ask an agent to create AI-generated videos with CellCog, including marketing, explainer, educational, documentary, cinematic, UGC, news, lipsync, and spokesperson formats.
Global
Risk: Prompts, scripts, uploaded media, likenesses, and generated outputs are shared with CellCog during video generation.
Mitigation: Do not submit secrets, regulated personal data, or confidential business material unless authorized and comfortable with CellCog's data handling.
Risk: Long-form AI video generation can consume credits without producing a satisfactory result.
Mitigation: Start with scoped prompts, specify duration and aspect ratio, and validate short outputs before spending more credits.
Risk: Lipsync or spokesperson workflows may involve human likenesses and voice synthesis.
Mitigation: Use only likenesses, scripts, and media you are authorized to submit and review generated outputs before publication.
Output Type(s): [text, markdown, code, shell commands, configuration, guidance]
Output Format: [Markdown guidance with Python examples and setup commands]
Output Parameters: [1D]
Other Properties Related to Output: [Requires python3, the cellcog dependency, and CELLCOG_API_KEY; generated media is produced through CellCog.]
1.0.17 (source: server release metadata)
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
Archive v1.0.16: 3 files, 5472 bytes
Files: skill-card.md (2226b), SKILL.md (8937b), _meta.json (144b)
File v1.0.16:SKILL.md
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
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"])
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
For video generation, always use chat_mode="agent team" (the default).
Video creation involves:
This multi-step process requires the full agent team for best results.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still an evolving capability. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog
OpenClaw: clawhub install 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.
File v1.0.16:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.16", "publishedAt": 1785737176186 }
File v1.0.16:skill-card.md
AI video generation and production powered by CellCog for marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, and YouTube content up to 4 minutes from a single prompt. <br>
This skill is ready for commercial/non-commercial use. <br>
cellcog <br>
MIT-0 <br>
External users, developers, and content teams use this skill to direct an agent to create marketing, educational, explainer, spokesperson, social, and cinematic videos through CellCog from a prompt or script. <br>
Global <br>
Risk: Prompts, scripts, and source media are sent to CellCog for processing. <br> Mitigation: Avoid submitting secrets, confidential business data, regulated data, or personal media unless organizational policy permits it and CellCog's data handling terms have been reviewed. <br> Risk: Long-form AI video results may be unpredictable and may consume credits without producing a usable result. <br> Mitigation: Use specific prompts for duration, aspect ratio, style, audio, and key moments, and review generated outputs before production use. <br>
Output Type(s): [guidance, code, API calls, shell commands, configuration] <br> Output Format: [Markdown with Python and shell code blocks] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [Requires python3 and CELLCOG_API_KEY; generated video work is submitted to CellCog for processing.] <br>
1.0.16 (source: server release metadata) <br>
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>
Archive v1.0.15: 3 files, 5488 bytes
Files: skill-card.md (2338b), SKILL.md (8862b), _meta.json (144b)
File v1.0.15:SKILL.md
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
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"])
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
For video generation, always use chat_mode="agent team" (the default).
Video creation involves:
This multi-step process requires the full agent team for best results.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still an evolving capability. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
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.
File v1.0.15:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.15", "publishedAt": 1785703639292 }
File v1.0.15:skill-card.md
AI video generation and production powered by CellCog for marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, and YouTube content up to 4 minutes from a single prompt. <br>
This skill is ready for commercial/non-commercial use. <br>
cellcog <br>
MIT-0 <br>
External users, creators, marketers, educators, and developers use this skill to ask an agent to generate scripted, voiced, scored, and edited videos through CellCog from concise creative prompts. <br>
Global <br>
Risk: Video prompts, scripts, and related creative inputs are sent to CellCog. <br> Mitigation: Avoid including private, regulated, or sensitive information unless the CellCog account terms and data-handling expectations allow it. <br> Risk: Video generation can consume paid CellCog credits without guaranteeing a usable result. <br> Mitigation: Start with small, well-scoped prompts and confirm cost expectations before requesting longer or more complex videos. <br> Risk: Long-form AI video quality is unpredictable and may not meet production expectations. <br> Mitigation: Review generated videos before publication and iterate on duration, aspect ratio, style, audio, and key scene requirements. <br>
Output Type(s): [Guidance, Code, API Calls, Configuration] <br> Output Format: [Markdown with Python code examples and setup instructions] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [Uses CELLCOG_API_KEY and may initiate paid CellCog video-generation work.] <br>
1.0.15 (source: server release evidence) <br>
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>
Archive v1.0.14: 3 files, 5474 bytes
Files: skill-card.md (2396b), SKILL.md (8862b), _meta.json (144b)
File v1.0.14:SKILL.md
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
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"])
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
For video generation, always use chat_mode="agent team" (the default).
Video creation involves:
This multi-step process requires the full agent team for best results.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still an evolving capability. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
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.
File v1.0.14:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.14", "publishedAt": 1784259748149 }
File v1.0.14:skill-card.md
AI video generation and production powered by CellCog for marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, and YouTube content. <br>
This skill is ready for commercial/non-commercial use. <br>
nitishgargiitd <br>
MIT-0 <br>
Developers and content teams use this skill to ask an agent to create CellCog video-generation jobs for marketing, educational, explainer, UGC, news, spokesperson, and cinematic video content. It provides prompt guidance, Python SDK examples, and setup commands for CellCog-powered video production. <br>
Global <br>
Risk: Prompts and source materials may be sent to CellCog for external AI video generation. <br> Mitigation: Use the skill only with approved CellCog usage and do not submit secrets, private customer data, regulated data, unreleased business materials, or proprietary media unless the organization permits it. <br> Risk: Long-form AI video output can be unpredictable and may consume credits without producing a usable result. <br> Mitigation: Start with short, scoped prompts, specify duration and aspect ratio, review generated output before production use, and manage spending expectations. <br>
Output Type(s): [text, markdown, code, shell commands, configuration, guidance] <br> Output Format: [Markdown guidance with Python SDK examples and shell commands] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [Requires python3, the cellcog package, and CELLCOG_API_KEY; generated media is produced through the external CellCog service.] <br>
1.0.14 (source: release evidence) <br>
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>
Archive v1.0.13: 3 files, 5636 bytes
Files: skill-card.md (2734b), SKILL.md (8840b), _meta.json (144b)
File v1.0.13:SKILL.md
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
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"])
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
For video generation, always use chat_mode="agent team" (the default).
Video creation involves:
This multi-step process requires the full agent team for best results.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still an evolving capability. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
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.
File v1.0.13:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.13", "publishedAt": 1776925191196 }
File v1.0.13:skill-card.md
AI video generation and production powered by CellCog for marketing videos, product demos, explainers, educational content, lipsync spokesperson videos, UGC, news reports, training materials, cinematic short films, social media reels, and YouTube content up to four minutes from a single prompt. <br>
This skill is ready for commercial/non-commercial use. <br>
nitishgargiitd <br>
MIT-0 <br>
Developers and content teams use this skill to ask an agent to create CellCog videos from natural-language prompts, including marketing, explainer, educational, spokesperson, UGC, news, and cinematic formats. It is intended for workflows where generated scripts, scenes, audio, and video can be reviewed before publication. <br>
Global <br>
Risk: The skill sends user-provided prompts and content to CellCog's external paid video-generation service. <br> Mitigation: Use it only with trusted CellCog accounts, understand service billing and data-handling terms, and avoid submitting secrets, confidential business material, or regulated personal data. <br> Risk: Lipsync and spokesperson workflows can involve a real person's likeness or voice. <br> Mitigation: Use only likenesses, scripts, and voices you are authorized to use, and review synthetic-media obligations before publication. <br> Risk: Long-form AI video generation may consume credits without producing a usable result. <br> Mitigation: Start with constrained prompts, short durations, and clear style, aspect-ratio, and audio requirements before scaling to longer production videos. <br>
Output Type(s): [Text, Markdown, Code, Shell commands, Configuration, Guidance] <br> Output Format: [Markdown guidance with Python examples and setup commands] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [Requires python3, the cellcog package, and CELLCOG_API_KEY; generated video quality and cost can vary by prompt and request complexity.] <br>
1.0.13 (source: release evidence) <br>
Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>
Archive v1.0.12: 2 files, 4194 bytes
Files: SKILL.md (8775b), _meta.json (144b)
File v1.0.12:SKILL.md
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
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"])
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
For video generation, always use chat_mode="agent team" (the default).
Video creation involves:
This multi-step process requires the full agent team for best results.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still an evolving capability. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
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.
File v1.0.12:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.12", "publishedAt": 1776188013969 }
Archive v1.0.11: 2 files, 4179 bytes
Files: SKILL.md (8759b), _meta.json (144b)
File v1.0.11:SKILL.md
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
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",
)
Cursor / Claude Code / Other agents (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"])
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
For video generation, always use chat_mode="agent team" (the default).
Video creation involves:
This multi-step process requires the full agent team for best results.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still an evolving capability. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
Cursor: Run /cellcog-setup to install and authenticate.
OpenClaw: Run clawhub install cellcog for SDK setup.
Other agents: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.
File v1.0.11:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.11", "publishedAt": 1776042115154 }
Archive v1.0.10: 2 files, 4109 bytes
Files: SKILL.md (8527b), _meta.json (144b)
File v1.0.10:SKILL.md
Long-form AI video production from a single prompt — scripted, voiced, scored, and edited automatically.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
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",
)
Cursor / Claude Code / Other agents (blocks until done):
result = client.create_chat(
prompt="[your task prompt]",
task_label="my-task",
chat_mode="agent",
)
print(result["message"])
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
For video generation, always use chat_mode="agent team" (the default).
Video creation involves:
This multi-step process requires the full agent team for best results.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still an evolving capability. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
Cursor: Run /cellcog-setup to install and authenticate.
OpenClaw: Run clawhub install cellcog for SDK setup.
Other agents: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.
File v1.0.10:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.10", "publishedAt": 1776036997274 }
Archive v1.0.9: 2 files, 4154 bytes
Files: SKILL.md (8667b), _meta.json (143b)
File v1.0.9:SKILL.md
Long-form AI video production is the hardest challenge in multi-agent coordination. CellCog may be the only platform that pulls it off.
6-7 foundation models orchestrated to produce up to 4-minute videos from a single prompt: script writing, scene generation, voice synthesis, lipsync, music scoring, and editing — all automatic. Marketing videos, product demos, explainers, educational content, AI spokesperson videos, UGC, news reports, and more.
This skill requires the cellcog skill for SDK setup and API calls.
clawhub install cellcog
Read the cellcog skill first for SDK setup. This skill shows you what's possible.
OpenClaw agents (fire-and-forget — recommended for long tasks):
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main", # OpenClaw only
task_label="my-task",
chat_mode="agent", # See cellcog skill for all modes
)
All other agents (blocks until done):
result = client.create_chat(
prompt="[your task prompt]",
task_label="my-task",
chat_mode="agent",
)
See the cellcog mothership skill for complete SDK API reference — delivery modes, timeouts, file handling, and more.
Promotional content for products and services:
Educational content that breaks down complex topics:
Learning content for courses and training:
Informative, story-driven content:
Artistic and visually striking content:
Authentic, relatable content that feels personal:
Professional news-format content:
CellCog can generate videos with AI characters speaking your script:
For lipsync videos:
| Aspect | Options | |--------|---------| | Duration | 15 seconds to 4 minutes | | Aspect Ratios | 16:9 (landscape), 9:16 (portrait/mobile), 1:1 (square) | | Styles | Photorealistic, animated, cinematic, documentary, casual | | Audio | Background music, voiceover, sound effects, or silent |
For video generation, always use chat_mode="agent team" (the default).
Video creation involves:
This multi-step process requires the full agent team for best results.
Marketing video:
"Create a 30-second marketing video for 'FreshBrew' - a premium coffee subscription. Show beautiful coffee preparation scenes, happy customers, and end with our tagline 'Freshness Delivered Daily'. Upbeat background music, no voiceover. 16:9 for YouTube."
Explainer with voiceover:
"Create a 90-second explainer video for our project management tool. Walk through: 1) Creating a project, 2) Adding team members, 3) Tracking progress. Professional female voiceover, clean animated style, include captions. 16:9 format."
Educational content:
"Generate a 3-minute educational video explaining photosynthesis for middle school students. Use engaging animations, clear narration, and include a summary at the end. Friendly, approachable style."
Spokesperson video:
"Create a 60-second video with an AI spokesperson (professional male, 30s) announcing our Series B funding. Script: 'Today, we're thrilled to announce...' [provide full script]. Business casual setting, confident tone."
Long-form AI video production is still at the frontier of what's possible. While some users generate high-quality, cinematic videos that are ready for production use, others may spend significant credits and still not achieve a usable result. Even spending thousands of credits does not guarantee a satisfactory outcome — this is the nature of where AI video technology stands today.
There is a real learning curve to generating long-form videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of what you're trying to create, and how well the foundation models perform on your specific request all play a role. Results improve as you develop intuition for what works, but we want to be upfront: video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.
Specify duration: "30 seconds" or "2 minutes" helps scope the content appropriately.
Define aspect ratio: 16:9 for YouTube/web, 9:16 for TikTok/Reels/Shorts, 1:1 for Instagram feed.
Describe the style: "Cinematic", "casual UGC", "corporate professional", "playful animated".
Audio preferences: "Upbeat music", "calm narration", "no audio", "sound effects only".
Include key moments: Describe the scenes or beats you want to hit.
Provide scripts: For spokesperson/voiceover videos, write out exactly what should be said.
File v1.0.9:_meta.json
{ "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm", "slug": "video-generation-cellcog", "version": "1.0.9", "publishedAt": 1775627948632 }
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/contract"
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/trust"
Operational fit
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "CLAWHUB",
"generatedAt": "2026-10-09T03:24:26.505Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawhub",
"href": "https://clawhub.ai/cellcog/skills/video-generation-cellcog",
"sourceUrl": "https://clawhub.ai/cellcog/skills/video-generation-cellcog",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T02:23:54.424Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T02:23:54.424Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "9.9K downloads",
"href": "https://clawhub.ai/cellcog/video-generation-cellcog",
"sourceUrl": "https://clawhub.ai/cellcog/video-generation-cellcog",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T02:23:54.424Z",
"isPublic": true
},
{
"factKey": "latest_release",
"category": "release",
"label": "Latest release",
"value": "1.0.18",
"href": "https://clawhub.ai/cellcog/video-generation-cellcog",
"sourceUrl": "https://clawhub.ai/cellcog/video-generation-cellcog",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-08-24T02:01:34.014Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-video-generation-cellcog/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "release",
"title": "Release 1.0.18",
"description": "Content updated.",
"href": "https://clawhub.ai/cellcog/video-generation-cellcog",
"sourceUrl": "https://clawhub.ai/cellcog/video-generation-cellcog",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-08-24T02:01:34.014Z",
"isPublic": true
}
]Sponsored
Ads related to Video Generation and adjacent AI workflows.