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Agent Skill · 研究检索

veo3-prompter(veo3 提示器)

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

veo3-prompter 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 45,218。

总安装 864周安装 36GitHub Stars 25下载 288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

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:veo3-prompter(veo3 提示器)
来源仓库:https://github.com/leegonzales/aiskills
仓库路径:skills/veo3-prompter
安装命令:
npx skills add https://github.com/leegonzales/aiskills --skill veo3-prompter
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/leegonzales/aiskills --skill veo3-prompter

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。适合规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤和权限边界。

安装方式:github,命令为 npx skills add https://github.com/leegonzales/aiskills --skill veo3-prompter。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。

来源仓库内路径:skills/veo3-prompter

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/leegonzales/aiskills --skill veo3-prompter;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

veo3-prompter 怎么安装?

在终端执行 npx skills add https://github.com/leegonzales/aiskills --skill veo3-prompter。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

veo3-prompter 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

veo3-prompter 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。

veo3-prompter 是免费的吗?

来源标注的许可证是 MIT。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。

veo3-prompter 用的人多吗?

公开数据是累计安装 864 次,近一周安装 36 次,下载 288 次,GitHub 25 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。

veo3-prompter 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,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

  • 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 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、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

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
veo3-prompter

veo3 提示器 · 本页

86425需要联网MIT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

Veo 3.1 Video Prompter

Transform ideas into professional Veo 3.1 prompts using cinematic structure, audio direction, and multi-shot choreography.

When to Use

Invoke when user:

  • Says "create a video prompt" or "generate a Veo prompt"
  • Wants to "make a video of..." or "animate this..."
  • Asks for help with "video generation" or "AI video"
  • Needs "Veo 3" or "Veo 3.1" prompt assistance
  • Wants to create "multi-shot" or "cinematic" video sequences

Core Prompt Formula

[Cinematography] + [Subject] + [Action] + [Context] + [Style & Audio]

Every prompt should address these five elements for maximum control.

Prompt Density: Finding the Sweet Spot

Prompts fail in two directions:

  • Too sparse: Model fills gaps unpredictably, you lose creative control
  • Too dense: Model can't execute all instructions, produces confused output

The Priority Framework

Tier 1 - MUST INCLUDE (model needs these):

  • Shot size (wide/medium/close-up)
  • Subject identity (who/what is in frame)
  • Primary action (what happens)
  • One dominant mood/style word

Tier 2 - SHOULD INCLUDE (significant impact):

  • Camera movement OR angle (pick one, not both)
  • Lighting quality (natural/dramatic/soft)
  • One audio layer (dialogue OR SFX OR ambient)
  • Setting/environment

Tier 3 - NICE TO HAVE (diminishing returns):

  • Secondary audio layers
  • Specific lens type
  • Color palette details
  • Film stock/grain texture
  • Background action

Rule of thumb: Include all Tier 1, most of Tier 2, and 1-2 from Tier 3.

Density Comparison

TOO SPARSE (model guesses too much):

"A professor talking about philosophy"

TOO DENSE (model overloaded):

"Medium close-up shot at eye level with a 50mm lens at f/1.8 creating shallow depth of field with bokeh highlights, of a 52-year-old female professor with silver-streaked auburn hair pulled back in a loose bun, wearing an olive tweed jacket with leather elbow patches over a cream silk blouse with a small pearl brooch, standing in a contemporary lecture hall with tiered mahogany seating and brass fixtures visible in the soft background, natural diffused daylight streaming through floor-to-ceiling windows on the left side creating soft rembrandt lighting on her face with a gentle fill from reflected light on the right..."

OPTIMAL (directed but breathable):

"Medium close-up of a professor in her 50s, tweed jacket, standing in a university lecture hall. She gestures while speaking: 'Kant asked one question: could everyone do this?' Warm natural window light from left, soft academic atmosphere. SFX: marker on whiteboard."

Calibration Signals

Signs your prompt is too sparse:

  • Results vary wildly between generations
  • Key elements missing or wrong
  • Mood/tone inconsistent with intent

Signs your prompt is too dense:

  • Model ignores some instructions entirely
  • Unnatural or frozen-looking motion
  • Conflicting elements appear (e.g., both day and night)
  • Audio doesn't match visual action

Iteration Strategy

  1. Start with Tier 1 only - generate test
  2. Add Tier 2 elements that matter most to your vision
  3. Add ONE Tier 3 detail if something specific is missing
  4. Remove any element the model consistently ignores

See references/prompt-calibration.md for detailed examples and troubleshooting.

Cinematography Elements

Shot Composition

  • Wide shot, medium shot, close-up, extreme close-up
  • Single shot, two shot, over-the-shoulder shot
  • High angle, low angle, eye level, worm's eye, bird's eye

Camera Movement

  • Dolly (in/out), tracking shot, crane shot
  • Pan (left/right), tilt (up/down), zoom
  • Steadicam, handheld, aerial, POV

Lens & Focus

  • Shallow depth of field, deep focus
  • Wide-angle lens, telephoto, macro lens
  • Soft focus, rack focus, bokeh

Audio Direction

Veo 3.1 generates synchronized sound. Direct it explicitly:

Dialogue (use quotes):

"A man says, 'The storm is coming.'"

Sound Effects (label with SFX):

"SFX: Thunder rumbles in the distance, rain patters on glass"

Ambient Noise:

"Ambient noise: busy café chatter, clinking cups, soft jazz"

Music:

"A swelling orchestral score begins to play"

Timestamp Prompting

For multi-shot sequences within one generation (max 8 seconds):

[00:00-00:02] Medium shot of a detective at his desk, lighting a cigarette.
SFX: Match strike, paper rustling.

[00:02-00:04] Close-up of his eyes narrowing as he reads a letter.
Ambient: Rain against the window.

[00:04-00:06] Reverse shot of a shadowy figure in the doorway.
A woman's voice: "You shouldn't have looked."

[00:06-00:08] Wide shot as the detective stands, reaching for his gun.
SFX: Chair scraping, thunder crack.

Style Keywords

Visual Aesthetic:

  • Photorealistic, cinematic, documentary, animation
  • Retro (sepia, grainy film, 1980s vaporwave)
  • Noir, epic fantasy, sci-fi, romantic, horror

Mood & Lighting:

  • Warm golden hour, cool blue tones, moody shadows
  • Harsh fluorescent, soft morning light, dramatic chiaroscuro
  • Neon-lit, candlelit, overcast diffused

Film Grain Tip:

Add "slightly grainy, film-like" to avoid overly clean AI look

Output Formats

Quick Prompt: Single sentence for simple shots Structured Prompt: Multi-line with all five elements Timestamp Sequence: Choreographed multi-shot within 8s Storyboard Mode: Multiple prompts for full narrative

Example Prompts

Action Shot:

"Tracking shot following a parkour athlete sprinting across rooftops at sunset, warm orange light, urban cityscape background, cinematic, shallow depth of field. SFX: footsteps on concrete, wind rushing past."

Dialogue Scene:

"Medium two-shot in a dimly lit bar, a woman in red leans toward a man in a suit. She says quietly, 'I know what you did.' Ambient: jazz music, glasses clinking. Moody noir aesthetic, warm tungsten lighting."

Nature Documentary:

"Slow-motion close-up of a hummingbird drinking from a flower, macro lens with shallow focus, lush green garden background, soft morning light. SFX: gentle buzzing, birdsong."

Technical Specs

  • Duration: 4, 6, or 8 seconds
  • Resolution: 720p or 1080p
  • Aspect Ratio: 16:9 (landscape) or 9:16 (portrait)
  • Frame Rate: Configurable (default: 24 FPS)

Advanced API Options

When using Veo through API (not Flow), these additional parameters are available:

ParameterDescriptionDefault
negativePromptElements to exclude from the video-
seedRNG seed for reproducible results (same prompt + seed = same video)Random
enhancePromptLet the model rewrite your prompt for better resultsfalse
generateAudioGenerate synchronized audiotrue
personGenerationControl person generation: dont_allow or allow_adult-
referenceImagesUp to 3 asset images OR 1 style image for consistency-

Negative Prompts

Explicitly exclude unwanted elements:

"A forest at sunset" + negativePrompt: "people, animals, buildings"

Seed for Consistency

Use the same seed to reproduce similar results:

First generation: seed=12345 → video A Same prompt + seed=12345 → nearly identical video

Useful for:

  • Iterating on a specific "look"
  • Creating variations with controlled changes
  • A/B testing different prompts

Reference Images

Maintain visual consistency across shots using reference images:

Asset References (up to 3):

  • Character appearances
  • Locations/settings
  • Props or products

Style References (1):

  • Overall aesthetic
  • Color palette
  • Visual treatment

References

  • references/prompt-calibration.md - Finding the right detail level
  • references/cinematography-glossary.md - Full camera terms
  • references/prompt-examples.md - 20+ categorized examples
  • references/advanced-workflows.md - Image-to-video, first/last frame

平台分布

OpenCode

28.39%
按下载量换算82

Claude Code

23.24%
按下载量换算67

Gemini CLI

17.9%
按下载量换算52

Antigravity

12.02%
按下载量换算35

Codex

8.87%
按下载量换算26

windsurf

3.74%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。

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