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Agent Skill · 效率

art-process-video(艺术过程视频)

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

art-process-video 是效率类 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,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 11,586。

总安装 4,516周安装 192GitHub Stars 公开资料未说明下载 1,582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
0.1.2

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:art-process-video(艺术过程视频)
来源仓库:https://github.com/zoucdr/art-process-video
安装命令:
openclaw skills install art-process-video
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 art-process-video

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。

生成绘画或修饰创作的过程短视频内容。展示从草图到成品的分层进展视觉效果。适用于艺术创作教学和作品展示用途。art-process-video 属于效率类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install art-process-video。

输出为垂直短视频格式,适合移动端传播。

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 art-process-video;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

art-process-video 怎么安装?

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

art-process-video 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。

art-process-video 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。

art-process-video 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。

art-process-video 用的人多吗?

公开数据是累计安装 4,516 次,近一周安装 192 次,下载 1,582 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。

art-process-video 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

  • 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

  • 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。

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
art-process-video

艺术过程视频 · 本页

4,516—接触敏感数据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
art-process-video
version
1.0.0
description
Generate vertical short videos of painting / retouching creative process (WeryAI): layered progression from sketch to finish—illustration coloring, posters, avatars, typography, and speedpaint-style storytelling. Use when you need art process timelapse, painting-process video, design creation reel, or the user asks for a full journey from line art to color. SEO: art process video; painting creative process video generation.
tags
[painting, design, process, creation, art, healing, short-video]
metadata
{ "openclaw": { "emoji": "🎨", "primaryEnv": "WERYAI_API_KEY", "paid": true, "network_required": true, "requires": { "env": ["WERYAI_API_KEY"], "bins": ["node"], "node": ">=18" } } }
user-invocable
true

Art process video generation

Time-compressed journey from pencil sketch to final piece—lines grow denser, color goes from none to full, detail stacks layer by layer, the last stroke lands, and the finished work is revealed. The process *is* the content; no on-screen copy needed. Fits illustrators, designers, and art accounts.

Dependencies: scripts/video_gen.js in this directory + WERYAI_API_KEY in the environment + Node.js 18+. No dependency on other Cursor skills.

Prerequisites

  • WERYAI_API_KEY must be set in the environment before running video_gen.js.
  • Node.js 18+ is required. Image inputs must be public https URLs (no local file paths).
  • Each successful wait run consumes WeryAI credits; re-running creates new paid tasks.

Security, secrets, and API hosts

  • WERYAI_API_KEY: Treat as a secret. Only configure it if you trust this skill's source; it is listed in OpenClaw metadata as requires.env / primaryEnv so installers know it is mandatory at runtime (never commit it inside the skill package).
  • Optional URL overrides (WERYAI_BASE_URL, WERYAI_MODELS_BASE_URL): video_gen.js defaults to https://api.weryai.com and https://api-growth-agent.weryai.com. Overrides are intended for testing or approved alternate endpoints. If these variables are set in your environment, confirm they point to hosts you trust—otherwise prompts, images, and your bearer token could be sent elsewhere.
  • Higher assurance: Run generation in a short-lived or isolated environment (separate account or container), and review scripts/video_gen.js (HTTPS submit + poll loop) before production use.

Prompt expansion (mandatory)

video_gen.js does not expand prompts. Before every wait --json, turn the user's short or vague brief into a full English production prompt.

When: The user gives only keywords, one line, or loose intent—or asks for richer video language. Exception: They paste a finished long prompt within the model's prompt_length_limit and ask you not to rewrite; still show the full text in the confirmation table.

Always add (video language): shot scale and angle; camera move or lock-off; light quality and motivation; subject action paced to duration; one clear payoff for this niche; state 9:16 vertical when this skill defaults to vertical.

Length: Obey prompt_length_limit for the chosen model_key when this doc lists it; trim filler adjectives before removing core action, lens, or light clauses.

Confirmation: The pre-submit table must include the full expanded prompt (never a one-line summary). Wait for confirm or edits.

Niche checklist

  • Process arc: sketch → base color → detail → final frame much richer than the opening blank or rough lines.
  • Medium & subject: name tablet/paper/watercolor and what is being painted or designed; use time-lapse / speed-ramp language when duration is short.
  • Camera & light: top-down, eye-level screen, or macro brush; motivated desk/canvas/monitor light; show stroke motion and rising saturation.

### Example prompts at the top of this file are short triggers only—always expand from the user's actual request.

Workflow

  1. Confirm the user request matches this skill's scenario (text-to-video and/or image-to-video as documented).
  2. Collect the user's brief, optional image URL(s), tier (best / good / fast) or an explicit model key.
  3. Expand prompt (mandatory): Unless the user supplied a finished long prompt and explicitly asked not to rewrite it, expand the brief into a full English production prompt using ## Prompt expansion (mandatory) below. Do not call the API with only the user's minimal words.
  4. Check the expanded prompt against the selected model's prompt_length_limit in the frozen tables in this document (when present); shorten if needed.
  5. Verify duration, aspect_ratio, resolution, generate_audio, negative_prompt, and other fields against the frozen tables and API notes in this SKILL.md.
  6. Show the pre-submit parameter table including the full expanded prompt; wait for confirm or edits.
  7. After confirmation, run node {baseDir}/scripts/video_gen.js wait --json '...' with the expanded prompt.
  8. Parse stdout JSON and return video URLs; on failure, surface errorCode / errorMessage and suggest parameter fixes.

CLI reference

node {baseDir}/scripts/video_gen.js wait --json '{"model":"…","prompt":"…","duration":5,"aspect_ratio":"9:16"}'
node {baseDir}/scripts/video_gen.js wait --json '…' --dry-run
node {baseDir}/scripts/video_gen.js status --task-id <id>

Definition of done

Done when the user receives at least one playable video URL from the API response, or a clear failure explanation with next steps. All parameters used must fall within the selected model's allowed sets in this document. The submitted prompt must be the expanded production prompt unless the user explicitly supplied a finished long prompt and asked not to rewrite it.

Boundaries (out of scope)

  • Does not review platform compliance, copyright, or portrait rights; does not guarantee commercial usability of outputs.
  • Does not provide non-WeryAI offline rendering, traditional edit timelines, or API field combinations not documented here.
  • Does not hard-code absolute paths in the skill doc; {baseDir} means the skill package root (same level as SKILL.md).

Example prompts

  • Character illustration on a tablet from pencil sketch to full color, vertical accelerated process
  • Use this line-art image to animate gradual color, light, and shadow until the final piece
  • Poster typography process from grid to final logotype, art-account style
  • Digital painting process 9:16, layers build up, satisfying brush strokes

Default parameters

FieldValue
ModelKLING_V3_0_PRO
Aspect ratio9:16 (fixed)
Duration10 seconds (duration: 10—enough time to show layered progression)
AudioOff
Visual styleTop-down or eye-level close-up; canvas or tablet in frame; clear brush motion; color fills progressively; time-compressed timeline
API validity (default KLING_V3_0_PRO): Text-to-video duration only 5 / 10 / 15; aspect_ratio only 9:16, 1:1, 16:9. Image-to-video aspect_ratio only 9:16, 16:9, 1:1. No resolution field—do not send it. For fast tier with VEO: text-to-video VEO_3_1_FAST, image-to-video CHATBOT_VEO_3_1_FAST, with duration fixed at 8, aspect_ratio only 9:16 or 16:9. When switching model_key, follow the allowed sets in this section’s model/API constraints and the API validity note above; do not send resolution to models that do not support it.

Full creative process: sketch to finish

Purpose: Show one illustration or design from blank to done. Pace is time-lapse compression: stroke density rises with progress, saturation climbs from low to high, and the final frame should feel dramatically richer than the starting blank.

The user should provide:

  • Subject (bear / cat / bunny / or a theme like “forest spirit,” “cyber girl”)
  • Style (dreamy watercolor / line-art B&W / thick oil-like paint / flat design / cyberpunk illustration)
  • Medium (paper + pencil / tablet + stylus / watercolor paper / digital screen)

Generation flow:

  1. Confirm subject, style, and medium.
  2. Build the prompt in three phases: light sketch lines → base color blocking → detail polish and finish, with clear visual beats per phase.
  3. If parameters are unspecified, show defaults and wait for confirmation:

You must show all parameters in a table and wait for explicit user confirmation before submitting:

> 📋 Ready to generate—please confirm: > > | Parameter | This run | Notes | > |-----------|----------|-------| > | model | KLING_V3_0_PRO | Best tier default; say “cheap / draft / fast” → WAN_2_6; say “balanced” → KLING_V3_0_STA; or name a model directly | > | aspect_ratio | 9:16 | Default KLING: 9:16, 1:1, 16:9 only; if you change model, check that model’s aspect_ratios in the table | > | duration | 10s | KLING family: 5 / 10 / 15; VEO fast: duration 8 only | > | generate_audio | false | Whether to auto-generate audio | > | prompt | Full expanded English prompt (entire text for this run) | Revise before confirm | > | Loop seam | No | Reply “loop” to enable seamless loop | > > Reply “confirm” to start, or list what to change.

  1. After confirmation, run in the terminal ({baseDir} is the skill root):
   node {baseDir}/scripts/video_gen.js wait --json '{"model":"(model from confirmation table)","prompt":"(full expanded English prompt)","aspect_ratio":"9:16","duration":10,"generate_audio":false}'

aspect_ratio, duration, generate_audio, and model must match the table; add resolution only if the model supports it. Parse stdout videos for URLs.

Parameter configuration:

FieldValue
modelKLING_V3_0_PRO
aspect_ratio9:16
duration10
generate_audiofalse

Expanded prompt: Compose at generation time per ## Prompt expansion (mandatory) from the user's actual brief—do not reuse fixed sample paragraphs.

Expected outcome: Clear three-beat rhythm (blocking color, detail pass, final reveal), rising visual density from sparse to rich, final frame clearly stronger than the start—good for process content on art accounts.


Single “brushstroke” hero moment

Focus on one stunning beat: one highlight dot makes the eye “wake up,” a gradient snaps into place, one line closes the piece—better for punchy shorts than a full process.

Say which “one stroke” moment to show; build the prompt directly:

Parameters are shown before generation; wait for confirmation before submit.

Expanded prompt: Compose at generation time per ## Prompt expansion (mandatory) from the user's actual brief—do not reuse fixed sample paragraphs.


Prompt tips

Process rhythm: layer by layer, stage by stage with visible progress, time-lapse with speed ramp at details phase, complexity builds frame by frame

Finish impact: final reveal is dramatically more complex than the starting blank, the completed piece has gallery-quality depth, jaw-dropping transformation from empty canvas

Brush feel: stylus catches tablet light, pencil line weight variation visible, watercolor bleeds naturally at paper texture, digital brush softness in layered opacity

Note: Ten seconds is already tight for a full process; say time-lapse compression in the prompt so the model treats it as accelerated display, not real-time drawing speed.

平台分布

OpenClaw

81.46%
按下载量换算1,289

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

可疑

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。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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