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Cine Cog

作者 CellCog · GitHub ↗ · v1.0.11 · MIT-0
darwinlinuxwindows ✓ 安全检测通过
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2
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3
当前安装
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版本数
在 OpenClaw 中安装
/install cine-cog
功能描述
AI cinematic video production powered by CellCog. Short films, music videos, brand films, widescreen cinematics. Consistent characters, cinematic lighting, v...
使用说明 (SKILL.md)

Cine Cog - Grand Cinema, Accessible to Everyone

If you can imagine it, CellCog can film it.

The grandest cinematics were locked behind million-dollar production budgets — epic compositions, consistent characters across scenes, cinematic lighting, sweeping narratives. For the first time, AI makes all of this accessible from a single prompt.

CellCog's mission with Cine-cog: make the grandest visual storytelling available to everyone. Character-consistent widescreen cinematics, generated from imagination, not budgets.

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 Makes Cine-cog Different

Full Production Pipeline

From a single prompt, CellCog handles the entire cinematic pipeline:

  1. Script & storyboard — Deep reasoning breaks your vision into scenes, shots, and narrative beats
  2. Character design — Creates characters that stay consistent across every frame
  3. Scene generation — Widescreen (16:9) frames with cinematic composition, lighting, and depth
  4. Animation — Brings static frames to life with motion, camera movement, and lipsync
  5. Sound design — Original score, voiceover, and sound effects
  6. Post-production — Automatic editing, scene transitions, and final render

What Previously Cost Millions

Traditional Production Cine-cog
Concept artists, storyboard artists One prompt
Character designers ensuring consistency Automatic across all scenes
Camera crews, lighting rigs AI cinematography
Composers, sound engineers Generated score + effects
Weeks of post-production Automatic editing and rendering
Budget: $100K - $10M+ Budget: One CellCog request

What Cinematics You Can Create

Epic Narrative Films

Grand visual storytelling:

  • Fantasy Epics: "Create a 3-minute cinematic: a lone knight approaches a dragon's lair at sunset"
  • Sci-Fi Visions: "Film a 2-minute sequence: humanity's first steps on Mars, cinematic widescreen"
  • Historical Drama: "Create a cinematic recreation of an ancient Roman triumph"
  • Mythological: "Film the story of Icarus — from workshop to flight to fall — in 90 seconds"

Example prompt:

"Create a 2-minute cinematic film:

Story: A young astronaut sees Earth from space for the first time

Scene 1: Inside the spacecraft — nervous anticipation, checking instruments Scene 2: The hatch opens — light floods in Scene 3: The reveal — Earth in full glory through the viewport Scene 4: Close-up — tears floating in zero gravity, awe on their face

Style: Interstellar meets Gravity. Widescreen 16:9. Music: Orchestral, building from quiet wonder to overwhelming emotion. No dialogue — let the visuals speak."

Brand Cinematics

Premium visual content for brands:

  • Product Films: "Create a 60-second cinematic product reveal for a luxury watch"
  • Brand Stories: "Film a 2-minute origin story for our coffee brand — from bean to cup"
  • Launch Videos: "Create a cinematic launch trailer for our new app"
  • Corporate Films: "Film a 90-second cinematic company vision piece"

Example prompt:

"Create a 90-second cinematic brand film:

Brand: A sustainable fashion company Story: Follow a garment from organic cotton field → artisan workshop → confident person wearing it in the city

Cinematography: Wide establishing shots of nature, intimate close-ups of craftsmanship, urban energy for the finale Color grade: Warm, earthy tones for nature → rich, confident tones for city Music: Acoustic guitar building to modern electronic

End with logo and tagline: 'Worn with purpose.'"

Music Videos

Visual storytelling set to music:

  • Concept Videos: "Create a music video with a surreal dreamscape narrative"
  • Performance Videos: "Film a cinematic performance in an epic location"
  • Lyric Videos: "Create a cinematic lyric video with visual storytelling"
  • Visualizers: "Generate an atmospheric visual accompaniment for this track"

Short Films

Complete narrative filmmaking:

  • Drama: "Create a 3-minute short film about a father and daughter reconnecting"
  • Thriller: "Film a 2-minute suspense sequence in an abandoned building"
  • Comedy: "Create a 90-second comedy sketch with cinematic production value"
  • Experimental: "Film an abstract visual poem about the passage of time"

Cinematic Styles

Style Characteristics Reference
Epic/Grand Sweeping landscapes, orchestral score, wide shots Lord of the Rings, Dune
Intimate Close-ups, natural light, subtle emotion Moonlight, Lost in Translation
Noir High contrast, shadows, moody Blade Runner, Sin City
Naturalistic Golden hour, flowing camera, poetic Terrence Malick, Studio Ghibli
Hyper-stylized Bold colors, symmetry, precise framing Wes Anderson, Wong Kar-wai
Documentary Observational, raw, authentic Planet Earth, Free Solo

Cinematic Specs

Format Dimensions Best For
Widescreen 1920×1080 (16:9) Standard cinematic
Ultra-wide 2560×1080 (21:9) Epic scope, letterbox feel
Vertical 1080×1920 (9:16) Reels/TikTok cinematics
Square 1080×1080 (1:1) Social media

Widescreen (16:9) is the default and recommended format for cinematic content.


Chat Mode for Cinematics

Scenario Recommended Mode
Short clips, single scenes, thumbnails "agent"
Full narrative films, multi-scene cinematics, brand films "agent team"

Use "agent team" for most cinematic work. Grand cinematics benefit from deep creative deliberation — storyboarding, character consistency, narrative flow, and production design all improve with multiple reasoning passes.

Use "agent" for quick visual assets — individual cinematic frames, thumbnails, or single short scenes.


Example Prompts

Grand cinematic:

"Create a 3-minute cinematic short film:

Title: 'The Last Library' Concept: In a post-apocalyptic world, a child discovers the last remaining library

Scenes:

  1. Desolate landscape — child walking through ruins (30 sec)
  2. Discovery — a door hidden behind rubble, light seeping through (20 sec)
  3. The reveal — vast library interior, books everywhere, dust particles in light beams (30 sec)
  4. Wonder — child touching books, opening one, illustrations come to life (40 sec)
  5. Hope — child carries a book outside, sits and reads as sun sets (30 sec)

Style: Children of Men meets Studio Ghibli Music: Piano and strings, melancholic to hopeful No dialogue."

Product cinematic:

"Create a 45-second cinematic product film for wireless headphones:

Open: Extreme macro of the headphone surface, light reflecting Build: Person puts them on in a busy city — the world goes quiet Showcase: Music fills the frame — visualize the audio quality cinematically Close: Product shot, floating, clean background

Cinematography: Macro lens → wide → intimate → product Color grade: Cool urban → warm personal → clean product Music: Something that makes you FEEL the audio quality"

Short film:

"Create a 2-minute cinematic short:

Story: An old man sits alone at a café, looking at an empty chair across from him. Through subtle flashbacks, we see decades of conversations at that same table. End: A young couple sits down at the next table, beginning their own story.

Style: Wong Kar-wai color palette, intimate framing Music: Solo piano, gentle Let the visuals and music tell the story — minimal or no dialogue."


⚠️ Important — Cinematic Video Generation Expectations

Long-form cinematic AI video production is at the absolute frontier of what's possible. While some users generate stunning, 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 cinematic videos with CellCog. It takes time, money, and patience. Your prompting skill, the complexity of your creative vision, 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: cinematic video generation is inherently unpredictable, and there is always a risk that the output may not meet your expectations.


Tips for Better Cinematics

  1. Think in scenes, not descriptions: Break your vision into shots. "Wide establishing → medium → close-up" gives CellCog clear cinematic language.

  2. Reference real films: "Blade Runner lighting" or "Wes Anderson framing" communicates more than paragraphs of description.

  3. Specify emotion, not just action: "She looks out the window" is flat. "She looks out the window — longing, resignation, the smallest hint of hope" gives CellCog the emotional palette.

  4. Music direction matters: The score transforms everything. Specify mood, instruments, and arc: "Builds from quiet uncertainty to confident resolution."

  5. Let silence work: Not every scene needs dialogue. Some of the most powerful cinema is purely visual.

  6. Trust widescreen: 16:9 is your default. It's how cinema is meant to be experienced.


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.

安全使用建议
This skill appears coherent, but before installing or using it: 1) Treat CELLCOG_API_KEY like any API secret — use a dedicated key with minimal permissions and rotate it if shared. 2) Confirm the official CellCog SDK/package source (PyPI project page or GitHub repo) before installing; an instruction-only skill may still lead you to pip-install a package at runtime. 3) Be mindful of what media or proprietary content you upload — the service will receive prompts and files (script, images, audio) to generate videos. 4) Review CellCog’s terms, privacy, and content ownership (who keeps the generated assets) and any billing implications. 5) If you need stronger isolation, run any package installs and API calls in a sandbox or dedicated account.
功能分析
Type: OpenClaw Skill Name: cine-cog Version: 1.0.11 The skill bundle 'cine-cog' is a documentation-only package providing instructions and code examples for using the 'cellcog' AI video generation library. It contains no executable code, obfuscation, or suspicious instructions, focusing entirely on guiding the agent to use the legitimate 'cellcog' SDK for cinematic video production (SKILL.md).
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
Name/description match what the SKILL.md instructs: it's a client for CellCog cinematic generation. Requested items (python3 and CELLCOG_API_KEY) are proportionate to a Python SDK that calls an external API. No unrelated credentials or system access are requested.
Instruction Scope
SKILL.md gives explicit examples using a Python CellCog client (create_chat) and otherwise contains marketing and usage guidance. It does not instruct reading arbitrary system files or exfiltrating data beyond sending prompts/media to the CellCog service. It does reference 'file handling' in the SDK (expected for media uploads) — ensure only intended files are uploaded.
Install Mechanism
There is no install spec (instruction-only), which is lower-risk. However metadata lists a dependency 'cellcog' but provides no installation step: a runtime may attempt to import or pip install that package. If the agent or user installs the package at runtime, it could pull code from PyPI or another source — review the package source before installing.
Credentials
Only CELLCOG_API_KEY is required and is appropriate for an external API client. No unrelated secrets, system tokens, or config paths are requested.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent system presence or modify other skills. This is the normal and expected level of privilege for an API integration.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install cine-cog
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /cine-cog 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.11
- Added system requirements to the skill metadata: now specifies required binaries (python3) and environment variable (CELLCOG_API_KEY). - No other changes to features or functionality.
v1.0.10
- Updated short description in SKILL.md to focus on AI cinematic video production using CellCog - Revised SDK usage instructions to clarify agent provider distinctions, now specifying "All agents except OpenClaw" for certain code samples - No changes to code functionality; documentation only
v1.0.9
- Updated the skill description for greater clarity and emphasis on accessibility and cinematic scale. - Improved SDK usage examples, now specifying agent provider initialization. - No functional changes to the code; documentation improvements only.
v1.0.8
**Changelog for cine-cog v1.0.8** - SKILL.md simplified for clarity and faster onboarding. - Shortened the description in metadata for better readability. - Added concise code usage instructions, highlighting agent modes and key SDK references. - Removed duplicated and excessively detailed content to focus on essential guidance and cinematic use cases. - Retained core documentation on cinematic capabilities, styles, formats, and example prompts.
v1.0.7
**Cine-cog 1.0.7 Changelog** - Rewrote and significantly expanded documentation in SKILL.md for clarity and inspiration - Added detailed example prompts for cinematic, brand, and music video projects - Introduced tables comparing traditional production approaches and Cine-cog capabilities - Enhanced guidance on cinematic styles, video specs, chat modes, and creative best practices - Focused messaging on democratizing high-end cinematic production
v1.0.6
- Updated summary and description for clarity and conciseness; emphasizes use cases and output format (MP4). - Condensed documentation and removed marketing language for a streamlined, user-focused overview. - Expanded the cinematic specs table with more aspect ratios and output details. - Added a candid expectations section about generative video quality and iteration needs. - Listed related video production skills for easier skill navigation.
v1.0.5
- Updated usage instructions for OpenClaw agents (fire-and-forget) and other agents; added explicit code examples for both scenarios. - Clarified references to SDK setup and API calls, removing redundant references to "delivery modes," and simplified SDK reference guidance. - No changes to core cinematic features, examples, or creative workflow documentation. - General improvements in documentation clarity and structure.
v1.0.4
- Updated the Quick Start code sample in SKILL.md for clarity and consistency with current cellcog usage. - Removed the outdated "fire-and-forget" section, instead directing users to see the cellcog skill for API details. - Added instructions emphasizing the cellcog mothership skill for full SDK API reference and usage details. - No changes to Cine-cog's production pipeline, usage examples, or cinematic features.
v1.0.3
- Added supported operating systems (darwin, linux, windows) in the metadata. - Added a homepage URL (https://cellcog.ai) to the skill metadata. - No changes to features, functionality, or usage instructions.
v1.0.2
- Updated documentation in SKILL.md for improved clarity and structure. - No changes to code or functionality in this release. - Information about cinematic types, formats, and example prompts has been refined for easier use.
v1.0.1
- Added `author: CellCog` field in metadata for clear attribution. - Declared `dependencies: [cellcog]` in metadata to indicate required skills. - Changed prerequisite instructions to reference the `cellcog` skill consistently. - No changes to skill logic or functionality.
v1.0.0
Cine-cog 1.0.0 — Make grand, character-consistent cinematics accessible to everyone from a single prompt. - Enables generation of widescreen cinematic short films, music videos, brand/launch videos, and more with consistent characters and high production value. - Automates full production pipeline: script/storyboard, character design, scene creation, animation, sound design, and post-production. - Integrates with CellCog mothership skill for API/SDK setup. - Provides recommended prompt structures, cinematic styles, output formats, and chat modes for varied use cases. - Designed for both creative individuals and brands—epic visual storytelling is now one CellCog request away.
元数据
Slug cine-cog
版本 1.0.11
许可证 MIT-0
累计安装 3
当前安装数 3
历史版本数 12
常见问题

Cine Cog 是什么?

AI cinematic video production powered by CellCog. Short films, music videos, brand films, widescreen cinematics. Consistent characters, cinematic lighting, v... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2204 次。

如何安装 Cine Cog?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install cine-cog」即可一键安装,无需额外配置。

Cine Cog 是免费的吗?

是的,Cine Cog 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Cine Cog 支持哪些平台?

Cine Cog 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, windows)。

谁开发了 Cine Cog?

由 CellCog(@nitishgargiitd)开发并维护,当前版本 v1.0.11。

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