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智能截断文本，保持内容完整性。适用于小说文本预处理、确保文本不超过指定长度限制
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Basierend auf der SOC-Berufsklassifikation
Create vertical short drama scripts covering macro construction, episode writing, precise optimization, and creative ideation using Emotional Spring Theory. Use when creating short dramas from scratch, optimizing existing script dialogue and pacing, designing story outlines with suspense hooks, or brainstorming slap-in-the-face scenes and character biographies.
Evaluate film and TV scripts across ideological, artistic, and entertainment value dimensions, producing structured scoring reports with follow-up recommendations. Use when assessing script development quality, determining modification direction, reviewing scripts before project approval, or benchmarking screenwriter capabilities.
Evaluate and score story text across market potential, innovation attributes, and content highlights dimensions, producing structured scoring reports with development recommendations. Use when conducting novel initial screening, assessing IP adaptation potential, scoring stories for multi-dimensional quality comparison, or guiding story creation and optimization direction.
Analyze five core story elements — genre type, story summary, character biographies, character relationships, and major plot points — producing a structured comprehensive report with optional mind map. Use when preparing for script adaptation, conducting deep story analysis, creating story development documentation, or evaluating overall story quality and market potential.
Orchestrate the full plot-point dramatic function analysis pipeline — text preprocessing, parallel segment analysis, result integration, and report generation — for long-form story content. Use when analyzing plot points and dramatic functions in long texts, producing structured dramatic analysis reports, or coordinating multi-step story analysis workflows.
基于故事文本分析人物特征，生成详细的人物小传。适用于深度理解故事人物设定、为演员塑造角色提供参考、为剧本创作建立人物档案
| name | novel-truncator |
| description | 智能截断文本，保持内容完整性。适用于小说文本预处理、确保文本不超过指定长度限制 |
| category | novel-screening |
| version | 2.1.0 |
| last_updated | "2026-01-11T00:00:00.000Z" |
| license | MIT |
| compatibility | Claude Code 1.0+ |
| maintainer | 宫凡 |
| allowed-tools | [] |
| model | opus |
| changelog | [{"version":"2.1.0","date":"2026-01-11T00:00:00.000Z","changes":[{"type":"improved","content":"优化 description 字段，使其更精简并符合命令式语言规范"},{"type":"improved","content":"优化功能、使用场景、截断原则、输入要求、输出格式的描述，使其更符合命令式语言规范"},{"type":"added","content":"添加约束条件、示例和详细文档部分"},{"type":"changed","content":"模型更改为 opus"}]},{"version":"2.0.0","date":"2026-01-11T00:00:00.000Z","changes":[{"type":"breaking","content":"按照 Agent Skills 官方规范重构"},{"type":"improved","content":"优化 description，使用命令式语言，精简主内容"},{"type":"added","content":"添加 license、compatibility 可选字段"}]},{"version":"1.0.0","date":"2026-01-10T00:00:00.000Z","changes":[{"type":"added","content":"初始版本"}]}] |
接收文本内容与最大长度限制，智能截断文本，保持内容完整性。
【文本截断报告】
原始长度：[字符数]
截断后长度：[字符数]
截断位置：[位置描述，如：在第 X 句句号处]
截断后的文本：
[文本内容]
参见 {baseDir}/references/examples.md 目录获取更多详细示例:
examples.md - 包含不同截断场景（如按句子、按段落、强制截断）的详细示例。参见 {baseDir}/references/examples.md 获取关于文本截断工具的详细指导与案例。
| 版本 | 日期 | 变更 |
|---|---|---|
| 2.1.0 | 2026-01-11 | 优化 description 字段，使其更精简并符合命令式语言规范；优化功能、使用场景、截断原则、输入要求、输出格式的描述，使其更符合命令式语言规范；添加约束条件、示例和详细文档部分；模型更改为 opus。 |
| 2.0.0 | 2026-01-11 | 按官方规范重构 |
| 1.0.0 | 2026-01-10 | 初始版本 |