Token导航 LogoToken导航TokenDH.com
前端设计执行命令github未标认证来源可访问许可证需确认审计异常

realistic-ugc-video逼真的 UGC 视频

Agent Skill

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。

总安装

2,982

周安装

123

GitHub Stars

5

下载量

974
CodexClaudeCursorGemini CLI

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

unknown

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:realistic-ugc-video(逼真的 UGC 视频)
来源仓库:https://github.com/dennisonbertram/claude-media-skills
仓库路径:skills/realistic-ugc-video
安装命令:
npx skills add https://github.com/dennisonbertram/claude-media-skills --skill realistic-ugc-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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/dennisonbertram/claude-media-skills --skill realistic-ugc-video

简介

用于用户生成内容的视频制作与脚本编写。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

  • 支持镜头规划、素材说明和 Remotion 合成代码生成。
  • 可协助排查渲染问题并控制输出分辨率及时长。
  • 涉及人物肖像或商用素材时须确认版权许可。
  • realistic-ugc-video 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Realistic UGC Video Production

Create long-form AI videos that look and sound authentically human. This skill orchestrates a multi-step workflow using Nano Banana for realistic base images and Kling AI for video generation, with specific techniques to avoid the "AI look".

Why Videos Look AI (And How to Fix It)

ProblemSolution
Too perfect/clean skinAdd imperfections: micro-pores, natural oils, fine lines
Studio lightingUse available/natural light, mixed color temps
Character too stillAdd micro-movements, head tilts, natural sway
Inconsistent pacingUse 55-60 syllables per clip
Robotic voiceProcess through Adobe Podcast or Resemble AI
Obvious jump cutsCover with B-roll or animations
Weird AI handsCrop hands out of frame or keep completely static

Known Limitation: Hands

AI video models (Kling, Veo, etc.) struggle with realistic hand movement. Fingers morph, gestures look unnatural, and hands are often the biggest tell.

Best practice: Keep hands OUT of frame or completely static.

Options:

  1. Head/shoulders framing - Crop base image to exclude hands entirely
  2. Arms crossed - Static pose, no finger movement needed
  3. Hands below frame - Desk edge cuts off at wrists
  4. Cover with B-roll - Cut away during any hand weirdness in post

Complete Workflow

Phase 1: Collect Requirements

Before starting, gather from the user:

  1. Character description - Age, ethnicity, features, clothing
  2. Setting/background - Office, home, studio, outdoor
  3. Script - The full text the character will speak
  4. Tone - Conversational, urgent, professional, friendly
  5. Video length target - This determines how many clips needed

Phase 2: Generate Base Image (Nano Banana)

Use the Nano Banana skill to generate the character image. Critical: Apply the imperfection techniques from CHARACTER-PROMPTING.md.

Key elements for realistic UGC:

  • iPhone capture aesthetic (26mm equivalent lens)
  • Available/mixed lighting (NOT studio)
  • Visible skin texture (pores, oils, fine lines)
  • Minor imperfections (stubble, dark circles)
  • Computational depth artifacts
  • ISO noise (500-900 range)

Command:

~/.claude/skills/nano-banana/scripts/generate.sh "[enhanced prompt]" --aspect 9:16 --size 2K

Then optionally upscale through Enhancor AI for additional texture.

Phase 3: Chunk the Script (Critical for Pacing)

This is the most important step for natural pacing. See SCRIPT-CHUNKING.md.

The 55-60 Syllable Rule:

  • Count syllables, not words
  • Each video generation = 55-60 syllables
  • Never cut mid-sentence
  • Add filler sentences to reach target if needed

Example chunking:

Chunk 1 (58 syllables):
"Hey everyone, I wanted to share something that completely changed how I think about productivity. It's not another app or system."

Chunk 2 (56 syllables):
"It's actually about understanding your own energy patterns throughout the day. Once I figured this out, everything clicked into place."

Phase 4: Generate Video Clips (Kling AI)

For each script chunk, generate a 10-second video clip. Use the Kling AI skill with movement prompts from MOVEMENT-PROMPTING.md.

Key elements:

  • Hand "Home Base" Protocol
  • Timestamped movement clusters
  • Natural blinks, head tilts, micro-sways
  • Consistent base image reference

Spawn background agent for each clip:

Task tool:
- subagent_type: "general-purpose"
- run_in_background: true
- prompt: [Include image URL, script chunk, movement prompt, output path]

Phase 5: Post-Production

See POST-PRODUCTION.md for detailed guidance.

  1. Assemble clips in CapCut or similar editor
  2. Fix audio with Adobe Podcast (minimum) or Resemble AI (for voice swap)
  3. Cover jump cuts with B-roll or animations
  4. Remove filler sentences if they feel awkward
  5. Export in final resolution

Quick Start: Single Clip Test

Before generating full video, test the workflow with one clip:

  1. Generate base image with full imperfections
  2. Create 10-second test video with first script chunk
  3. Evaluate pacing and movement
  4. Adjust prompts if needed
  5. Proceed with full production

Example Full Prompt for Base Image

A vertical 9:16 UGC-style video frame captured on an iPhone 11 resting on a tripod.
Medium-wide portrait at true eye-level with slightly forward-leaning posture.

[CHARACTER]: A [age] [gender] with [ethnicity] complexion, [eye color] eyes beneath
[eyebrow description], [nose description]. [Jawline/facial hair]. [Hair description].
Expression is [emotion]—[specific expression details].

[CLOTHING]: [Fitted/casual garment], [collar detail].

[SKIN TEXTURE]: Visible pores across T-zone, faint smile lines, natural oils catching
light on forehead and nose. [Age-appropriate details]. No filter, no foundation.

[FOREGROUND]: Hands rest naturally on [surface], fingers relaxed, visible veins and
knuckle texture. Nearby: [everyday objects like water bottle, phone, notebook].

[CAMERA]: Native iPhone 11 lens (26mm equivalent), slightly wide perspective, mild
barrel softness at edges. Only tiny pockets of neural blur around hair edges.

[LIGHTING]: Available light mix—cool overcast daylight from window left, warm tungsten
from desk lamp right. Soft asymmetric shadows, natural falloff. ISO noise 500-900.

[BACKGROUND]: [Realistic home/office elements]—bookshelf, [furniture], clearly visible
not heavily blurred.

[REALITY DETAILS]: Gentle 35mm film grain, light fingerprint smudge on lens, tiny dust
haze in air. No cinematic bloom, no studio finish.

Styling: raw UGC realism, available indoor light, mixed color temperature, minimal
depth blur, visible ISO noise, emphasis on authenticity.

Example Movement Prompt for Video

Hand "Home Base" Protocol: Hands default to Active Idle. Fingers shift, thumbs rub,
wrists rotate slightly while anchored. Gestures only for key emphasis.

[0.0s-0.5s] Pre-roll: Sharp inhale, eyes lock to lens, head still
[0.5s-3.0s] Hands in Active Idle (fingers interlocked), head tilts slightly right,
           brows furrow in seriousness
[3.0s-6.0s] Hands break clasp for quick open-palm rotation then return, head drifts
           forward, natural blink
[6.0s-8.0s] Hands return to Active Idle (loose clasp, thumbs tapping), head nods
           encouragingly, cheeks lift in natural smile
[8.0s-10.0s] Hands anchored (wrist shifts), chin lifts in quick final nod, natural blink

[Script]: "[CHUNK TEXT HERE]"
[Tone]: [Urgent/Conversational/Professional/etc.]
[Pacing]: Rapid fire delivery, high energy, viral UGC style, confident, 2x speed

Reference Files

Alternative: InfiniteTalk

For simpler long-form videos, consider InfiniteTalk (infinitetalk.ai).

Pros: Single generation for longer videos Cons: Less control over pacing (no timer/duration control), charged by output length

Use the syllable method above when precise pacing control is needed.

Checklist Before Generating

  • Character prompt includes skin imperfections
  • Lighting is available/natural, NOT studio
  • Script chunked into 55-60 syllable segments
  • Each chunk is complete sentences
  • Movement prompt includes hand base, head movements, blinks
  • Post-production plan for audio and jump cuts

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

34.15%
按下载量换算333

Claude

30.13%
按下载量换算293

Cursor

17.2%
按下载量换算168

Gemini CLI

9.46%
按下载量换算92

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/dennisonbertram/claude-media-skills --skill realistic-ugc-video 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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 warning/failed 结果,不能写成本站确认安全。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