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Agent Skill · 开发

zyka-ai(齐卡艾)

zyka-ai 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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。

zyka-ai 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 10,487。

总安装 2,228周安装 91GitHub Stars 2下载 721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
0.4.12

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:zyka-ai(齐卡艾)
来源仓库:https://github.com/varshneyhars/zyka-ai
安装命令:
openclaw skills install zyka-ai
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 zyka-ai

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

zyka-ai 用于处理图像、截图、视觉识别或图片素材相关工作。适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。通过 clawhub 安装,结合来源仓库和 README 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。

当前功能聚焦于使用 Zyka CLI 生成 AI 视频、图像和语音。

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 zyka-ai;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

    它需要接触敏感数据,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

zyka-ai 怎么安装?

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

zyka-ai 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。

zyka-ai 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

zyka-ai 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。

zyka-ai 用的人多吗?

公开数据是累计安装 2,228 次,近一周安装 91 次,下载 721 次,GitHub 2 星。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。

zyka-ai 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
zyka-ai

齐卡艾 · 本页

2,2282接触敏感数据MIT-0通过

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
zyka-ai
version
0.4.11
description
Generate AI videos, images, voice, and use AI apps using the Zyka CLI. Use when users want to create AI-generated media — videos (Sora, Veo, Kling, WAN, Seedance, Grok, LTX, Aurora), images (DALL·E, GPT Image, Flux, Nano Banana, Kling, Grok, Zyka Helion, Qwen), TTS (ElevenLabs, Chatterbox, Qwen3, MiniMax, Fish Audio), talking heads, or AI apps (upscale, face swap, captions, dubbing, etc.).
homepage
https://zyka.ai
repository
https://github.com/kshitijdixit/zyka-sdk
license
MIT
metadata
openclaw
emoji
🎬
requires
env
[ZYKA_API_KEY]
bins
[zyka]
primaryEnv
ZYKA_API_KEY
install
kind
node
package
zyka
bins
[zyka]
label
Install Zyka CLI (npm)

<!-- zyka-skill-version: 0.4.11 -->

Zyka AI Media Generation

Generate AI videos, images, voice, and use AI-powered apps directly from the terminal using the zyka CLI. One command, 40+ AI models. No code writing required.

Setup

The zyka CLI is published on npm: https://www.npmjs.com/package/zyka Source: https://github.com/kshitijdixit/zyka-sdk

Required: install the CLI once before using this skill. All examples below assume zyka is on your PATH.

npm install -g zyka            # one-time install (latest)
zyka --help                    # verify install

Set your API key (required — get one at https://zyka.ai/settings/api-keys):

export ZYKA_API_KEY=zk_live_...

Security & Privacy

Before using this skill, understand what runs and where data flows:

  • Local install required: the skill calls the locally installed zyka binary. No remote code is fetched at runtime. Install pulls the latest published version from npm (https://www.npmjs.com/package/zyka); inspect the package source at https://github.com/kshitijdixit/zyka-sdk before installing if you want stronger assurance.
  • Outbound data flow: any local files you reference (images, audio, video) are uploaded to Zyka's API. Zyka proxies generation requests to third-party model providers (OpenAI, Google, ByteDance, ElevenLabs, Kling, etc.). Do not pass private personal data, proprietary content, credentials, or files you don't want third parties to see. Review https://zyka.ai privacy/terms for retention and downstream-provider policies.
  • API key handling: treat ZYKA_API_KEY as a service secret. Use a least-privilege key, never commit it, and rotate or delete it when no longer needed. Monitor usage in your Zyka dashboard.
  • Autonomous use: this skill is designed for agent-driven invocation. The agent can call Zyka endpoints (and spend credits) without an extra prompt once the skill is enabled. If you want explicit user confirmation per call, run commands interactively rather than relying on autonomous invocation.

CRITICAL: Always use CLI commands, never write code scripts

When a user asks to generate media, run the zyka generate command directly — do NOT write JavaScript files. The CLI handles file uploads, waiting, and downloading.


Generate Videos

zyka generate video -m MODEL -p "prompt" [options]

Video Models

Model-m valueKey options
OpenAI Sorasora-s sora-2, -d 4/8/12, --size 1280x720
Google Veoveo-s veo-3.1-generate-001, -d 4-8, -a 16:9/9:16, --size 720p/1080p/4k
Kling AIkling-s kling-v2-master, -d 5/10, -a 16:9, --mode std/pro
Kling V3kling-s kling-v3 or kling-v3-pro, -d 3-15, --first-frame ./img.jpg
Kling O3kling-s kling-o3 or kling-o3-pro, -d 3-15
Kling Omnikling-s kling-video-o1, -d 3-10
Kling Multi-Imagekling-s multi-image-to-video (pass image_list via SDK)
ByteDance Seedance V1.5 Probytedance-s "Seedance V1.5 Pro", -d 4-12, --resolution 720p
ByteDance Seedance 2.0bytedance-s "Seedance 2.0", -d 4-12, --resolution 720p
ByteDance Seedance 2.0 Fastbytedance-s "Seedance 2.0 Fast", -d 4-12, --resolution 720p
ByteDance OmniHumanbytedance-s "OmniHuman", --image ./face.jpg --audio ./speech.mp3
ByteDance OmniHuman v1.5bytedance-s "OmniHuman v1.5", --image ./face.jpg --audio ./speech.mp3
Alibaba WAN T2Vwan-s wan-2-6-t2v, -d 5/10/15, --size 1280*720
Alibaba WAN 2.7wan-s wan-2-7, -d 5/10/15, --size 1280*720
Alibaba WAN I2Vwan-s wan-2-6-i2v, --image ./img.jpg, -d 5/10/15
Alibaba WAN I2V 2.5wan-s wan-2-5-i2v, --image ./img.jpg, -d 5/10/15
WAN Animate Replacewan-s wan-v2-2-animate-replace, --video ./vid.mp4 --image ./char.png
WAN Animate Movewan-s wan-v2-2-animate-move, --video ./vid.mp4 --image ./char.png
Talking Headinfinite_talk--image ./face.jpg --audio ./speech.mp3
Aurora (Lip Sync)aurora--video ./face.mp4 --audio ./speech.mp3, --audio-guidance-scale 7
LTX Video T2Vltx-s ltx-2.3-text-to-video
LTX Video I2Vltx-s ltx-2.3-image-to-video, --image ./img.jpg
Grok Videogrok-s grok-imagine-video, -d 1-15, --resolution 720p

Video Examples

Text to video:

zyka generate video -m wan -p "A cinematic sunset over mountains" -d 5 -o ./sunset.mp4

Image to video (animate a photo):

zyka generate video -m kling -s kling-v2-master -p "gentle zoom in with wind" --image ./photo.jpg -d 5 -a 16:9 --mode pro -o ./animated.mp4

Talking head (lip sync):

zyka generate video -m infinite_talk -p "lip sync" --image ./face.jpg --audio ./speech.mp3 -o ./talking.mp4

Aurora lip sync (video + audio):

zyka generate video -m aurora --video ./face.mp4 --audio ./speech.mp3 -o ./lipsync.mp4

First/last frame interpolation:

zyka generate video -m veo -s veo-3.1-generate-001 -p "smooth transition" --first-frame ./start.jpg --last-frame ./end.jpg -d 8 -a 16:9 -o ./transition.mp4

LTX video:

zyka generate video -m ltx -s ltx-2.3-text-to-video -p "A flowing river through autumn forest" -o ./ltx.mp4

Grok video:

zyka generate video -m grok -p "Medieval knight in mystical forest" -d 6 --resolution 720p -o ./knight.mp4

WAN animate replace (swap character in video):

zyka generate video -m wan -s wan-v2-2-animate-replace --video ./original.mp4 --image ./new-character.png -o ./swapped.mp4

Generate Images

zyka generate image -m MODEL -p "prompt" [options]

Image Models

Model-m valueNotes
Nano Banananano_banana-s nano-banana-1 (default), nano-banana-pro (4K), nano-banana-2 (fast 4K)
DALL·E 2dall_e_2--size 256x256/512x512/1024x1024
DALL·E 3dall_e_3--quality standard/hd, --style vivid/natural
GPT Image 1gpt_image_1--background transparent, --quality auto/low/medium/high
GPT Image 1 Minigpt_image_1_miniCheaper variant
GPT Image 1.5gpt_image_1_5Latest OpenAI
Flux Schnellflux_1_schnellFast
Flux 2 Devflux_2_devHigh quality
Flux 2 Klein 9Bflux_2_klein_9bCompact high quality
Kling Imagekling-s kling-v1, kling-v2, kling-image-v3, kling-image-v3-text-to-image, omni-image, kling-image-o1, multi-image-to-image
SD XLstable_diffusion_xl_base_1_0--negative-prompt "blurry"
SD img2imgstable_diffusion_v1_5_img2imgNeeds --image
Lucid Originlucid_originLeonardo AI
Phoenix 1.0phoenix_1_0Leonardo AI
Zyka Helionzyka_helionFast Zyka-native
Grok Imaginegrok_imaginexAI Grok
Qwen Image 2 Proqwen_image_2_proChinese/English support
Z Image Turboz_image_turboFast

Image Examples

Generate from text:

zyka generate image -m gpt_image_1 -p "A neon cyberpunk cityscape" -o ./city.png

Edit an existing image:

zyka generate image -m nano_banana -s nano-banana-pro -p "make the hair straight" --image ./me.png -o ./result.png

4K high-res image:

zyka generate image -m nano_banana -s nano-banana-2 -p "cinematic portrait" --resolution 4K --size 5504x3072 -o ./portrait.png

Transparent background:

zyka generate image -m gpt_image_1 -p "product photo of sneakers" --background transparent -o ./sneakers.png

Grok image:

zyka generate image -m grok_imagine -p "Abstract golden particles, data visualization style" -o ./abstract.png

Qwen image:

zyka generate image -m qwen_image_2_pro -p "A serene mountain landscape at sunset" -o ./landscape.png

Zyka Helion (fast):

zyka generate image -m zyka_helion -p "cyberpunk cat in neon city" -o ./cat.png

Generate Text-to-Speech

zyka generate tts --script "text" [options]

TTS Providers

Provider--provider valueNotes
ElevenLabselevenlabsNeeds --voice-id
Qwen3qwen3Voice design/clone/custom
ChatterboxchatterboxClone + emotion tags [happy], [sad], [angry], [calm]
VoxCPMvoxcpmVoice cloning only (requires reference audio)
MiniMaxminimax17 preset voices (Wise_Woman, Friendly_Person, Deep_Voice_Man, etc.)
MOSS-TTSmoss-ttsRunPod-based
Fish Audiofish-audioInstant voice cloning

TTS Examples

Generate speech:

zyka generate tts --provider elevenlabs --voice-id VOICE_ID --script "Welcome to Zyka" -o ./speech.mp3

Clone a voice:

zyka generate tts --provider chatterbox --voice ./my-voice.mp3 --script "[happy] This sounds like me!" -o ./cloned.mp3

Fish Audio:

zyka generate tts --provider fish-audio --voice ./sample.wav --script "Hello world" -o ./fish.mp3

MiniMax preset voice:

zyka generate tts --provider minimax --script "Hello! Welcome to MiniMax TTS." -o ./minimax.mp3

MiniMax with emotion and stereo:

zyka generate tts --provider minimax --script "Hello!" --emotion happy --channel 2 -o ./minimax.mp3

AI Apps (via SDK)

These apps are available through the ZykaClient SDK:

const { ZykaClient } = require('zyka-sdk');
const client = new ZykaClient();

Image Apps

AppMethodParams
UpscalecreateUpscale(){ image, resolution: '1k'/'2k'/'4k' }
Face SwapcreateFaceSwap(){ type: 'image'/'video', url, face_image }
Virtual Try-OncreateVirtualTryOn(){ human_image, cloth_image }
Outfit SwapcreateOutfitSwap(){ user_image, character_image }
Skin EnhancercreateSkinEnhancer(){ image, type: 'perfect_skin'/'realistic_skin'/'imperfect_skin' }
Behind the ScenecreateBehindTheScene(){ image, type: 'image'/'video' }
Camera AnglescreateAngles(){ image, angle: { azimuth, elevation } }
9 ShortscreateNineShorts(){ image }
ZoomscreateZooms(){ image }
Story GeneratorcreateStoryGenerator(){ image }
Holi SpecialcreateHoliSpecial(){ image }
Simple AppcreateSimpleApp(){ image, app_id?, prompt? }

Video Apps

AppMethodParams
Caption GeneratorcreateCaptionGenerator(){ url, language?, caption_style? }
Video to ScriptcreateVideoToScript(){ url, script_style?: 'general'/'screenplay'/'blog_post'/'social_media'/'documentary' }
Video CleanercreateVideoCleaner(){ url, language? }
Video UpscalercreateVideoUpscaler(){ video_url, target_resolution: '1080p'/'2k'/'4k', target_fps: '30fps'/'60fps' }
Video Dubbing (HeyGen)createVideoDubbing(){ video_url, model: 'heygen', output_language: 'Hindi (India)', mode?, enable_caption?, enable_speech_enhancement?, translate_audio_only? }
Video Dubbing (ElevenLabs)createVideoDubbing(){ video_url, model: 'elevenlabs', output_language: 'hi', source_lang?, num_speakers?, highest_resolution?, drop_background_audio?, use_profanity_filter? }
Video Dubbing (Sarvam)createVideoDubbing(){ video_url, model: 'sarvam', output_language: 'Hindi' (or comma-separated), source_lang?, num_speakers?, genre?: 'general'/'news'/'entertainment'/'education'/'sports'/'religious' }
Dubbing LanguagesgetVideoDubbingLanguages(model)model: 'heygen'/'elevenlabs'/'sarvam' — returns supported languages
Short Video CreatorcreateShortVideoCreator(){ url, clip_duration_sec: 'auto'/5/15/30/45 }
B-rollcreateBroll(){ url, broll_duration_sec?: 'auto'/2-10 }
YouTube DownloadercreateYouTubeDownloader(){ url, quality?: '720p', format?: 'mp4' }
Voice ChangercreateVoiceChanger(){ source_audio_url, target_voice_url?, voice_strength? }
Image to SVGcreateImageToSvg(){ image_url }

CLI App Commands

zyka generate upscale --image ./photo.jpg --resolution 4k -o ./upscaled.jpg
zyka generate face-swap --type image --url ./target.jpg --face ./face.jpg -o ./result.jpg
zyka generate skin-enhancer --image ./photo.jpg --type perfect_skin -o ./enhanced.jpg
zyka generate virtual-try-on --human ./me.jpg --cloth ./dress.jpg -o ./tryon.jpg
zyka generate outfit-swap --user-image ./me.jpg --character-image ./celeb.jpg -o ./outfit.jpg
zyka generate behind-the-scene --image ./photo.jpg --type image -o ./scene.jpg
zyka generate nine-shorts --image ./photo.jpg -o ./angles.jpg
zyka generate zooms --image ./photo.jpg -o ./zooms.jpg
zyka generate story-generator --image ./photo.jpg -o ./story.jpg
zyka generate holi-special --image ./photo.jpg -o ./holi.jpg
zyka generate simple-app --image ./photo.jpg --app-id my-app -o ./result.jpg
zyka generate caption --url ./video.mp4 --language en -o ./captioned.mp4
zyka generate video-to-script --url ./video.mp4 --script-style screenplay -o ./script.txt
zyka generate video-cleaner --url ./video.mp4 -o ./cleaned.mp4
zyka generate video-upscaler --url ./video.mp4 --resolution 4k -o ./upscaled.mp4
zyka generate video-dubbing --url ./video.mp4 --model heygen --language "Hindi (India)" --mode precision -o ./dubbed.mp4
zyka generate video-dubbing --url ./video.mp4 --model elevenlabs --language hi --source-lang en --num-speakers 2 --highest-resolution -o ./dubbed.mp4
zyka generate video-dubbing --url ./video.mp4 --model sarvam --language "Hindi,Tamil" --genre education -o ./dubbed.mp4
zyka generate short-video --url ./long.mp4 --duration auto -o ./clips/
zyka generate broll --url ./video.mp4 -o ./with-broll.mp4
zyka generate youtube-download --url "https://youtube.com/watch?v=..." --quality 720p -o ./video.mp4
zyka generate voice-changer --audio ./input.mp3 --voice ./reference.mp3 -o ./output.mp3
zyka generate image-to-svg --image ./photo.png -o ./result.svg

Guidelines

  • ALWAYS use zyka generate CLI commands — never write JavaScript files
  • Set ZYKA_API_KEY env var before running commands
  • Use -o ./filename to save results to disk (auto-downloads)
  • Use --image ./path to pass local image files (auto-uploads)
  • Use --audio ./path to pass local audio files (auto-uploads)
  • Use --video ./path to pass local video files (auto-uploads)
  • All commands auto-wait for completion — no polling needed
  • When editing images, default to -m nano_banana -s nano-banana-pro
  • When generating videos from text, default to -m wan
  • When animating images to video, default to -m kling -s kling-v2-master
  • When generating 4K images, use -m nano_banana -s nano-banana-2 --resolution 4K
  • For fast image generation, use -m zyka_helion or -m flux_1_schnell
  • For transparent backgrounds, use -m gpt_image_1 --background transparent

CLI Options Reference

FlagDescription
-m, --modelModel name (required for video/image)
-p, --promptText prompt (required)
-s, --sub-modelModel variant
-d, --durationVideo duration in seconds
-a, --aspect-ratioAspect ratio (16:9, 9:16, 1:1)
--sizeOutput size (e.g. 1024x1024, 720p)
--imageInput image path (for editing/animating)
--audioInput audio path (for talking heads)
--videoInput video path (for V2V)
-o, --outputSave result to this file path
--no-waitDon't wait for completion
--negative-promptWhat to avoid in generation
--modeKling mode: std or pro
--resolutionResolution: 480p, 720p, 1080p, 1K, 2K, 4K
--first-frameFirst frame image (Kling, Veo 3.1, Bytedance)
--last-frameLast frame image (Kling, Veo 3.1, Bytedance)
--qualityQuality: standard, hd, auto, low, medium, high
--backgroundGPT Image background: transparent, opaque, auto
--styleDALL-E 3 style: vivid, natural
-n, --countNumber of images to generate
--titleTitle for the generation job
--audio-guidance-scaleAurora lip sync guidance (0-10)
--emotionMiniMax TTS emotion (neutral/happy/sad/angry/fearful/disgusted/surprised)
--channelMiniMax TTS audio channel (1=mono, 2=stereo)

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

平台分布

OpenClaw

79.78%
按下载量换算575

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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