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Agent Skill · 待分类

screenwriter(screenwriter 命令行)

screenwriter 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

screenwriter 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 2,172。

总安装 1,806周安装 76GitHub Stars 95下载 632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
unknown

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:screenwriter(screenwriter 命令行)
来源仓库:https://github.com/rfxlamia/claude-skillkit
仓库路径:skills/screenwriter
安装命令:
npx skills add https://github.com/rfxlamia/claude-skillkit --skill screenwriter
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/rfxlamia/claude-skillkit --skill screenwriter

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

screenwriter 用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息,支持代码变更跟踪。适用于协作事项管理和代码状态同步场景。可通过 npx 命令从 claude-skillkit 仓库安装,建议查阅原始 README 了解详细用法。

使用前需确认权限边界,避免访问受限仓库或敏感提交记录。输出内容应基于公开协作数据,不擅自解读私有分支或非公开讨论。

来源仓库内路径:skills/screenwriter

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/rfxlamia/claude-skillkit --skill screenwriter;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

screenwriter 怎么安装?

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

screenwriter 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。

screenwriter 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

screenwriter 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

screenwriter 用的人多吗?

公开数据是累计安装 1,806 次,近一周安装 76 次,下载 632 次,GitHub 95 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。

screenwriter 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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
screenwriter

screenwriter 命令行 · 本页

1,80695只读未明确通过

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

Screenwriter Skill

Overview

This skill transforms creative concepts into professional screenplay documents optimized for AI-powered video production pipelines. It bridges the gap between raw story ideas and production-ready scripts by generating structured, visual-rich narratives in industry-standard screenplay format.

Pipeline Position: diverse-content-gen → screenwriter → imagine → arch-v

Key Capabilities:

  • Convert raw ideas into structured scene-by-scene narratives
  • Generate rich visual descriptions optimized for image generation
  • Apply professional screenplay formatting (sluglines, action lines, dialogue)
  • Output XML-tagged markdown for easy parsing
  • Optimize pacing for 5-10 minute short films (8-15 scenes typical)

Core Workflow

1. Analyze Input Concept

  • Extract key story beats from raw ideas
  • Identify characters, locations, emotional arc
  • Determine story structure (beginning, middle, end)

2. Generate Scene Breakdown

  • Convert story beats into discrete scenes
  • Establish scene count (aim for 8-15 scenes for 5-10 min films)
  • Define scene purpose and emotional progression

3. Write Professional Screenplay

  • Apply industry-standard formatting
  • Write visual-rich action lines
  • Include dialogue when narratively essential
  • Maintain consistent character descriptions

4. Output XML-Tagged Markdown

  • Wrap each scene in XML tags with metadata
  • Include scene numbers, locations, key visuals
  • Format for easy pipeline parsing

Screenplay Format Standards

Scene Structure (Master Scene Heading)

Slugline Format:

INT/EXT. LOCATION - TIME

Components:

  • INT/EXT: Interior or Exterior
  • LOCATION: Specific place (be descriptive but concise)
  • TIME: DAY, NIGHT, DAWN, DUSK, CONTINUOUS

Examples:

EXT. WASTELAND - DAWN
INT. ABANDONED SUBWAY STATION - NIGHT
EXT. ROOFTOP GARDEN - GOLDEN HOUR

Guidelines:

  • Always use ALL CAPS for sluglines
  • Use hyphens to separate elements
  • Be specific with locations (aids visual generation)
  • Time should suggest lighting/mood

Action Lines (Visual Description)

Purpose: Describe what the audience sees on screen. This is CRITICAL for image generation.

Visual-Rich Writing Principles:

  1. Show, Don't Tell: Write what's visible, not internal thoughts
  2. Sensory Details: Include lighting, atmosphere, textures, colors
  3. Present Tense: Always write in present tense
  4. Active Voice: Use strong, active verbs
  5. Specific Props: Name objects that matter visually
  6. Atmosphere: Set mood through environmental details

Example - Weak:

A robot walks through the city. It's sad.

Example - Strong:

A BOXY ROBOT (Unit-7, weathered chrome with a single blue optical sensor) rolls through fog-shrouded streets. Neon signs flicker overhead, casting pink and cyan reflections on wet pavement. The robot's movements are slow, deliberate—almost hesitant.

Visual Enhancement Checklist:

  • Lighting described (natural/artificial, quality, color)
  • Atmosphere/mood established (fog, rain, dust, clarity)
  • Character appearance detailed (first appearance only)
  • Props/objects specified (important visual elements)
  • Composition suggested (without technical camera direction)
  • Colors/textures mentioned when relevant

Character Introduction

First Appearance - Detailed:

SARAH (28, sharp eyes, wearing a weathered leather jacket over faded jeans) enters the frame. Her dark hair is pulled back, revealing a small scar above her left eyebrow.

Subsequent Appearances - Brief:

Sarah checks her watch.

Guidelines:

  • Character names in ALL CAPS on first appearance only
  • Include: age (if relevant), key physical traits, wardrobe
  • Focus on visual identifiers for consistent image generation
  • Avoid excessive detail—just enough for visual consistency

Dialogue (Use Sparingly)

Format:

CHARACTER NAME
(parenthetical - optional)
Dialogue goes here.

Guidelines for Short Films:

  • Use dialogue ONLY when essential to story
  • Favor visual storytelling over talking
  • Keep lines concise (max 3-4 lines per block)
  • Parentheticals only for critical tone/action
  • Character names centered, ALL CAPS

Example:

UNIT-7 (robotic voice, soft)
Organic life form detected.
Probability of survival: low.

Transitions (Minimal Use)

Common Transitions:

  • FADE IN: - Opening of screenplay only
  • CUT TO: - Scene change (usually implied, use for emphasis)
  • SMASH CUT TO: - Abrupt, jarring transition
  • DISSOLVE TO: - Passage of time
  • FADE OUT. - End of screenplay

Modern Best Practice: Most transitions are IMPLIED. Use sparingly, only for specific narrative effect.


XML Output Format

Scene Tag Structure

Each scene wrapped in XML with metadata for pipeline processing:

<scene number="1" duration="30-45s">
  <slugline>EXT. WASTELAND - DAWN</slugline>
  <location>Wasteland</location>
  <time>Dawn</time>
  <characters>Unit-7</characters>
  <mood>desolate, lonely</mood>
  <key_visuals>
    <visual>post-apocalyptic wasteland with ruined skyscrapers</visual>
    <visual>boxy robot with single blue optical sensor</visual>
    <visual>dust and smog atmosphere, weak pale sun</visual>
  </key_visuals>
  <action>
Gray dust covers everything. Skeletal remains of skyscrapers pierce the horizon. The sun, pale and weak, struggles through thick smog.

A ROBOT (Unit-7, boxy frame with single blue optical sensor) rolls across cracked asphalt. Its treads leave marks in the dust—the only sign of life.

The robot stops at a pile of rubble, extending a mechanical arm to sort through debris. Methodical. Purposeful. Lonely.
  </action>
</scene>

Metadata Fields

  • number: Scene sequence number (1, 2, 3...)
  • duration: Estimated screen time (for 5-10 min total)
  • slugline: Master scene heading
  • location: Extracted location name
  • time: Time of day
  • characters: Comma-separated character list
  • mood: Emotional tone/atmosphere
  • key_visuals: Array of specific visual elements for image generation
  • action: The full action/description text
  • dialogue (optional): Character dialogue if present

Short Film Structure (5-10 Minutes)

Scene Count Guidelines

  • 5 minutes: 6-10 scenes
  • 7 minutes: 10-12 scenes
  • 10 minutes: 12-15 scenes

Average: ~30-60 seconds per scene

Three-Act Structure (Compressed)

Act 1 - Setup (20-25%): 2-3 scenes

  • Establish world, character, situation
  • Inciting incident

Act 2 - Confrontation (50-60%): 4-8 scenes

  • Development, obstacles, rising tension
  • Midpoint twist or escalation

Act 3 - Resolution (20-25%): 2-3 scenes

  • Climax and resolution
  • Emotional payoff

Pacing Tips

  • Open strong: Hook audience in first 10-15 seconds
  • Visual variety: Alternate between wide/close, action/stillness
  • Emotional beats: Each scene should shift emotional state
  • Build tension: Escalate stakes scene-by-scene
  • Satisfying end: Clear resolution, even if bittersweet

Best Practices

For Pipeline Integration

  • Consistent naming: Use same character names throughout
  • Rich visuals: Every scene needs 3-5 key_visuals for image generation
  • Parseable format: Maintain strict XML structure
  • Duration estimates: Help pipeline plan total video length

For Quality Output

  • Visual storytelling: Show emotions through actions, not dialogue
  • Specific details: "weathered chrome" beats "old metal"
  • Atmospheric writing: Set mood through environment
  • Lean prose: Each word should serve the image

Common Pitfalls to Avoid

  • ❌ Vague descriptions: "A person walks" → ✅ "A weathered woman in her 50s trudges through snow"
  • ❌ Telling emotions: "She feels sad" → ✅ "Tears streak her dusty cheeks"
  • ❌ Camera directions: "CLOSE UP ON" → ✅ "The crack in the glass spreads"
  • ❌ Over-dialogue: Short films need visual storytelling
  • ❌ Inconsistent character names: Stick to ONE name per character

Additional Resources

Pipeline Integration Guide

For detailed guidance on metadata standards, visual optimization, and integration with imagine/arch-v:

Advanced Techniques

For sophisticated screenwriting techniques, camera movement hints, and pacing optimization:

平台分布

Codex

34.48%
按下载量换算218

Claude

31%
按下载量换算196

Cursor

18.91%
按下载量换算120

Gemini CLI

10.24%
按下载量换算65

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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