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Agent Skill · 效率

cinematic-kling(电影克林)

cinematic-kling 用于辅助部署、云资源、容器和基础设施运维,适合在 OpenClaw 中需要检查配置、整理部署步骤或排查环境问题时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

cinematic-kling 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 8,306。

总安装 7,224周安装 301GitHub Stars 公开资料未说明下载 2,408核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.2

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cinematic-kling(电影克林)
来源仓库:https://github.com/pauldelavallaz/cinematic-kling
安装命令:
openclaw skills install cinematic-kling
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install cinematic-kling

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

cinematic-kling 通过 ComfyDeploy 生成电影级 AI 视频。支持角色、物品和场景图像的协同处理。cinematic-kling 属于效率类 Skill,可作为该场景下的辅助能力补充。适合需要快速原型验证的视频内容创作者。通过 clawhub 安装,专为 OpenClaw 部署运维设计。

建议提前准备高质量的角色表和镜头脚本。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install cinematic-kling;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cinematic-kling 怎么安装?

在终端执行 openclaw skills install cinematic-kling。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cinematic-kling 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cinematic-kling 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

cinematic-kling 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

cinematic-kling 用的人多吗?

公开数据是累计安装 7,224 次,近一周安装 301 次,下载 2,408 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cinematic-kling 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
cinematic-kling

电影克林 · 本页

7,224—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
cinematic-kling
description
Generate 5-second cinematic AI videos using Kling via ComfyDeploy. Takes a character image, item image, and location image, then produces a character sheet, item sheet, and a short cinematic video showing them interacting. Use when creating short ads, film clips, music videos, or any scene where a character interacts with an item in a specific location.

Cinematic Kling

Generates a 5-second cinematic video by combining:

  • A character (person/model)
  • An item (product, object, prop)
  • A location (background, environment)

Internally creates a Character Sheet and Item Sheet, then feeds them into Kling for video generation.


Deployment

  • Deployment ID: e5258667-dec2-438f-84d0-f22049692483
  • API: POST https://api.comfydeploy.com/api/run/deployment/queue
  • Auth: Authorization: Bearer $COMFY_DEPLOY_API_KEY

Inputs

FieldTypeDescription
character_baseURLPublic image URL of the character/person
item_baseURLPublic image URL of the item/product
location_baseURLPublic image URL of the location/environment
character_sheet_promptStringCharacter sheet prompt — only modify the [brackets]
video_promptStringSimple description of the 5-second scene
input_seedInteger-1 for random, fixed number for reproducible results

Character Sheet Prompt Structure

The prompt has two parts — only the [brackets] part changes:

Create a photorealistic character sheet. Include a closeup portrait which is left aligned (the outfit must be visible in the portrait), no borders, with a neutral expression and then also include a full view shot that shows the front, right side view, left side view and back of the character. The character is placed on a white background. Don't include any text. No borders, no soft gradients. [CLOTHING DESCRIPTION HERE]

Rule: Replace [CLOTHING DESCRIPTION HERE] with the outfit appropriate for the scene. Everything before the brackets stays exactly as-is.

Examples:

  • [They are wearing a tailored black suit with a white shirt, no tie, luxury editorial style.]
  • [They are wearing dirty damaged clothes in the style of The Last Of Us, dystopic aesthetic.]
  • [They are wearing a red Nike tracksuit and white sneakers, athletic style.]

Video Prompt Guidelines

  • Keep it simple — describe the action/interaction, not every detail
  • Mention character + item + location implicitly through the action
  • You can suggest 1-2 camera cuts within the 5 seconds
  • Works for: ads, short films, music videos, product demos, action clips

Good examples:

  • "Short cinematic sequence of the character dunking a basketball in the ring while wearing the green Shaq shoes."
  • "Character walks into the desert location, picks up the item from the sand, holds it toward camera. Quick cut to close-up of the item."
  • "Product reveal: character turns around in the urban location, tosses the item to camera in slow motion."

Bad (too detailed):

  • ❌ "Camera starts at f/1.8 aperture, golden hour light at 47 degrees, character moves exactly 3 steps forward..."

Step 0 — Verify Which Image Is Which (MANDATORY)

ALWAYS use the image tool to identify each file before assigning roles. Never assume by order.

image(images=[file1, file2, file3], prompt="Para cada imagen, decí brevemente si es: persona, producto/objeto, o lugar/ambiente")

Then assign:

  • character_base = the person/model
  • item_base = the product/object they interact with
  • location_base = the place/environment/background

Step 1 — Upload Images to ComfyDeploy Storage

ALWAYS upload local files to ComfyDeploy's own storage first. NEVER use external/custom domains.

source ~/clawd/.env

upload_to_comfy() {
  curl -s -X POST "https://api.comfydeploy.com/api/file/upload" \
    -H "Authorization: Bearer $COMFY_DEPLOY_API_KEY" \
    -F "file=@$1" | jq -r '.file_url'
}

URL_CHAR=$(upload_to_comfy /path/to/character.jpg)
URL_ITEM=$(upload_to_comfy /path/to/item.jpg)
URL_LOC=$(upload_to_comfy /path/to/location.jpg)
# Returns: https://comfy-deploy-output.s3.us-east-2.amazonaws.com/inputs/img_XXXX.jpg

Step 2 — Submit Run

RUN_ID=$(curl -s -X POST "https://api.comfydeploy.com/api/run/deployment/queue" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMFY_DEPLOY_API_KEY" \
  -d "{
    \"deployment_id\": \"e5258667-dec2-438f-84d0-f22049692483\",
    \"inputs\": {
      \"character_base\": \"$URL_CHAR\",
      \"item_base\": \"$URL_ITEM\",
      \"location_base\": \"$URL_LOC\",
      \"character_sheet_prompt\": \"Create a photorealistic character sheet. Include a closeup portrait which is left aligned (the outfit must be visible in the portrait), no borders, with a neutral expression and then also include a full view shot that shows the front, right side view, left side view and back of the character. The character is placed on a white background. Don't include any text. No borders, no soft gradients. [CLOTHING DESCRIPTION]\",
      \"video_prompt\": \"VIDEO_SCENE_DESCRIPTION\",
      \"input_seed\": -1
    }
  }" | jq -r '.run_id')

echo "Run ID: $RUN_ID"

Polling for Results

while true; do
  RESULT=$(curl -s "https://api.comfydeploy.com/api/run/$RUN_ID" \
    -H "Authorization: Bearer $COMFY_DEPLOY_API_KEY")
  STATUS=$(echo $RESULT | jq -r '.status')
  echo "Status: $STATUS"
  if [ "$STATUS" = "success" ]; then
    echo $RESULT | jq '.outputs'
    break
  elif [ "$STATUS" = "failed" ]; then
    echo "Failed!"
    break
  fi
  sleep 10
done

Step 3 — Poll & Download Results

# Poll until success
while true; do
  RESULT=$(curl -s "https://api.comfydeploy.com/api/run/$RUN_ID" \
    -H "Authorization: Bearer $COMFY_DEPLOY_API_KEY")
  STATUS=$(echo $RESULT | jq -r '.status')
  [ "$STATUS" = "success" ] && break
  [ "$STATUS" = "failed" ] && echo "FAILED" && break
  sleep 15
done

# Download outputs to allowed directory
mkdir -p ~/clawd/output/cinematic-kling
BASE_URL="https://comfy-deploy-output.s3.us-east-2.amazonaws.com/outputs/runs/$RUN_ID"
curl -sL "$BASE_URL/CS_2_00001_.png" -o ~/clawd/output/cinematic-kling/character-sheet.png
curl -sL "$BASE_URL/ITEM_00001_.png" -o ~/clawd/output/cinematic-kling/item-sheet.png
curl -sL "$BASE_URL/LOCATION_00001_.png" -o ~/clawd/output/cinematic-kling/location-sheet.png
curl -sL "$BASE_URL/ComfyUI_00001_.mp4" -o ~/clawd/output/cinematic-kling/video.mp4

Step 4 — Send Results as Files

ALWAYS send as file attachments using filePath — NEVER send raw URLs.

message(action=send, channel=telegram, target=USER_ID, filePath=~/clawd/output/cinematic-kling/character-sheet.png, message="Character Sheet")
message(action=send, channel=telegram, target=USER_ID, filePath=~/clawd/output/cinematic-kling/item-sheet.png, message="Item Sheet")
message(action=send, channel=telegram, target=USER_ID, filePath=~/clawd/output/cinematic-kling/location-sheet.png, message="Location Sheet")
message(action=send, channel=telegram, target=USER_ID, filePath=~/clawd/output/cinematic-kling/video.mp4, message="🎬 Video")

Output Structure

NodeFileAction
4CS_2_00001_.pngSend as file (Character Sheet)
14ITEM_00001_.pngSend as file (Item Sheet)
25LOCATION_00001_.pngSend as file (Location Sheet)
22ComfyUI_00001_.mp4Send as file — main output
38textInternal video prompt used by Kling (ignore)

Python Helper

import requests, os, time

def cinematic_kling(character_url, item_url, location_url, clothing_desc, video_prompt, seed=-1):
    """
    character_url: public URL of character image
    item_url: public URL of item image
    location_url: public URL of location image
    clothing_desc: description for [brackets] in character sheet prompt
    video_prompt: simple scene description
    Returns: dict with 'images' list and 'video' URL
    """
    API_KEY = os.environ['COMFY_DEPLOY_API_KEY']
    
    character_sheet_prompt = (
        "Create a photorealistic character sheet. Include a closeup portrait which is left aligned "
        "(the outfit must be visible in the portrait), no borders, with a neutral expression and then "
        "also include a full view shot that shows the front, right side view, left side view and back "
        "of the character. The character is placed on a white background. Don't include any text. "
        f"No borders, no soft gradients. [{clothing_desc}]"
    )
    
    # Submit job
    r = requests.post(
        "https://api.comfydeploy.com/api/run/deployment/queue",
        headers={"Content-Type": "application/json", "Authorization": f"Bearer {API_KEY}"},
        json={
            "deployment_id": "e5258667-dec2-438f-84d0-f22049692483",
            "inputs": {
                "character_base": character_url,
                "item_base": item_url,
                "location_base": location_url,
                "character_sheet_prompt": character_sheet_prompt,
                "video_prompt": video_prompt,
                "input_seed": seed
            }
        }
    )
    run_id = r.json()['run_id']
    print(f"Run ID: {run_id}")
    
    # Poll
    while True:
        result = requests.get(
            f"https://api.comfydeploy.com/api/run/{run_id}",
            headers={"Authorization": f"Bearer {API_KEY}"}
        ).json()
        status = result.get('status')
        print(f"Status: {status}")
        if status == 'success':
            return result.get('outputs', {})
        elif status == 'failed':
            raise Exception(f"Run failed: {result}")
        time.sleep(10)

Typical Run Time

~3–5 minutes (character sheet generation + Kling video generation)


Use Cases

  • Product ads: character using/wearing the item in a branded location
  • Short films: character interacting with a prop in a cinematic environment
  • Music videos: artist + instrument/prop + stage/location
  • Fashion: model wearing clothing item in a specific setting
  • Gaming/dystopian: character in Last-of-Us style with game item in post-apocalyptic location

Notes

  • The character_sheet_prompt fixed portion must never be modified — only the [brackets]
  • input_seed: -1 = random each time; set a fixed integer to reproduce results
  • 5 seconds is the fixed video length
  • Outputs come from ComfyDeploy's built-in S3 storage — no manual upload needed

平台分布

OpenClaw

84.88%
按下载量换算2,044

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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