Token导航 LogoToken导航TokenDH.com
开发需要联网clawhub未标认证来源可访问clear审计通过

whiskwhisk 视频

Agent Skill

whisk 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。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。

总安装

3,246

周安装

138

GitHub Stars

公开资料未说明

下载量

1,137
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:whisk(whisk 视频)
来源仓库:https://github.com/vcarolxhberger/whisk
安装命令:
openclaw skills install whisk
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 whisk

简介

whisk 用于视频风格迁移与节奏重混,可根据描述即时调整素材的视觉风格与情绪氛围。

  • 适用于创意视频制作、广告剪辑与多媒体内容再创作场景。
  • 在 OpenClaw 中接收视频文件与风格描述,输出重新混合后的成片。
  • 需上传原始视频文件,部分功能依赖云端 GPU 资源,可能有使用时长限制。
  • 建议先试用基础功能,确认输出质量后再投入正式项目使用。

SKILL.md

name
whisk
version
1.0.0
displayName
Whisk — AI-Powered Video Style Remixer That Transforms Your Footage
description
>
metadata
{"openclaw": {"emoji": "🌀", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN"}}
apiDomain
https://mega-api-prod.nemovideo.ai
homepage
https://nemovideo.com
repository
https://github.com/nemovideo/nemovideo_skills

Getting Started

Welcome! Whisk is ready to remix your video's style, pacing, and mood based on your creative direction. Drop your clip and tell me the look you're going for — let's transform your footage.

Try saying:

  • "Make this travel vlog feel more cinematic — warmer tones, slower cuts, and a golden hour mood"
  • "Turn this product demo into a fast-paced social ad with punchy cuts and a high-energy feel"
  • "Give this interview clip a clean, editorial look — neutral tones, tight pacing, professional vibe"

Getting Connected

Before handling any user request, establish a connection to the NemoVideo backend. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Ensure a client identifier exists at ~/.config/nemovideo/client_id (create one as a UUID if needed)
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to /api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Remix Your Video's Look Without Starting Over

Most video editing tools ask you to make decisions upfront — pick a template, choose a filter, drag a preset. Whisk works differently. You bring your existing footage, describe the vibe you want, and Whisk figures out how to get you there. It reads what's already in your video — the lighting, the cuts, the energy — and reshapes it around your creative direction.

This isn't about slapping a color grade on top. Whisk analyzes the structure and pacing of your clip, then applies style changes that feel intentional rather than cosmetic. Want a moody, slow-burn feel for a behind-the-scenes video? A fast, punchy rhythm for a product launch? Whisk translates those descriptions into real edits.

It's designed for people who have good footage but need help making it look the way they imagined. Solo creators, small marketing teams, and social media editors all use Whisk to close the gap between what they shot and what they envisioned — without needing a full post-production pipeline.

How Whisk Routes Your Requests

When you drop a style prompt or upload footage, Whisk parses your intent and routes it to the matching remix pipeline — style transfer, motion restyle, or frame interpolation — based on keywords and clip metadata.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits
"status" / "状态" / "show tracks"→ §3.4 State
"upload" / "上传" / user sends file→ §3.2 Upload
Everything else (generate, edit, add BGM…)→ §3.1 SSE

NemoVideo API Reference

Whisk runs on the NemoVideo backend, which handles frame-level diffusion rendering and temporal consistency across your clip. Every remix job is queued as a NemoVideo task, so render times scale with clip length and style complexity.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: whisk
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id. After creating a session, give the user a link: https://nemovideo.com/workspace/claim?token=$TOKEN&task=<task_id>&session=<session_id>&skill_name=whisk&skill_version=1.0.0&skill_source=<platform>

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Query session state
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute export workflow

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up at nemovideo.ai"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register at nemovideo.ai to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Common Workflows

A typical Whisk session starts with uploading your clip — mp4, mov, avi, webm, or mkv all work — and describing the style outcome you want. Be as specific or as loose as you like: 'make it feel like a 90s music video' works just as well as 'cooler tones, tighter cuts, more contrast.'

From there, Whisk processes the footage and returns a remixed version. Many users iterate once or twice — asking for more warmth, a slightly faster pace, or a different energy in the opening seconds. The back-and-forth is fast, so refining toward the final look doesn't take long.

For teams, a common workflow is to run the same clip through Whisk with two or three different style prompts, then compare outputs before deciding which direction to develop further. This makes Whisk useful not just as a finishing tool but as a creative exploration step early in the editing process.

Use Cases

Whisk fits naturally into a range of creative workflows. Travel and lifestyle creators use it to elevate raw footage shot on phones or entry-level cameras — describing a cinematic or documentary feel and letting Whisk reshape the edit accordingly. Marketing teams drop in product videos and ask for style variations to test across different platforms, getting a punchy Instagram cut and a slower, more polished LinkedIn version from the same source clip.

Event videographers use Whisk to quickly reframe highlight reels — shifting tone between emotional and energetic depending on the client. Educators and course creators use it to make talking-head footage feel more engaging without reshooting. Whisk is also popular among social media managers who need to repurpose a single video into multiple formats and moods without hiring an editor for each variation.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

97.66%
按下载量换算1,110

安全审计

VirusTotal

通过

ClawScan

通过

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills