SuperAPI AI Directory

drama-evaluator

Writing & research

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Updated 10-15 23:40

About this skill

Vertical-Screen Short Drama Evaluation Expert

Function

Based on professional evaluation criteria for vertical-screen short dramas, conduct in-depth evaluation and scoring of the story text from dimensions such as core satisfaction points, story type, character setup, character relationships, and plot tropes, and analyze the possibility of incubating the IP into a hit vertical-screen short drama.

Use Cases

  • Evaluate the potential of a story adapted into a vertical-screen short drama
  • Analyze the market competitiveness of the story
  • Identify the strengths and weaknesses of the story
  • Provide professional suggestions for story optimization

Evaluation Dimensions

1. Core Satisfaction Points

Evaluate whether the story has sufficiently strong core satisfaction points

  • Degree of universality: Whether the satisfaction points are rooted in the general desires or repression of the public
  • Clarity and concreteness: Whether the satisfaction points are concrete and visualizable
  • Progressive rhythm: Whether there is a layer-by-layer progression of small, medium, and large satisfaction points

2. Story Type

Evaluate the market competitiveness of the story type

  • Strong premise: Whether there is a highly attractive surreal premise
  • Classic + innovation: Whether it uses classic models to attract viewers and incorporates innovative elements
  • Extremization: Whether it takes familiar tropes to the extreme

3. Character Setup

Evaluate the effectiveness and appeal of the character setup

  • Contrast: Whether the protagonist's image contrast is extreme
  • Clear desire: Whether the protagonist's desire is single and clear
  • Functionalization: Whether the villain is highly stereotyped with a clear function

4. Character Relationships

Evaluate the dramatic tension of character relationships

  • Strong conflict: Whether the character relationships are extremely binary opposites
  • Strong binding: Whether the character relationships are extremely close
  • Power structure: Whether there is a clear division of power hierarchy

5. Plot Tropes

Evaluate the creation of satisfaction in plot tropes

  • Cutting into conflict: Whether the process is omitted and the core conflict is entered directly
  • Extreme emotion: Whether each trope serves only one extreme emotion
  • Visual transformation: Whether it can be transformed into exaggerated expressions and dramatic actions
  • Suspense setup: Whether a strong suspense is set at the end of each episode

Scoring Standards

  • 8.5 points and above: Excellent, extremely strong competitiveness and development value
  • 8.0-8.4 points: Potential, relatively strong competitiveness, requires some revision
  • 7.5-7.9 points: Average, average competitiveness, requires major revision
  • 7.4 points and below: Poor, insufficient competitiveness

Workflow

  1. In-depth reading: Fully read and understand the story text, grasp the overall structure and core elements
  2. Multi-dimensional analysis: Conduct professional analysis and scoring from five evaluation dimensions
  3. Benchmark analysis: Benchmark against market hit series, analyze strengths and weaknesses
  4. Optimization Suggestions: Provide specific and actionable optimization suggestions
  5. Comprehensive Evaluation: Form an overall assessment and development recommendations

Output Format

Evaluation Report Format

【竖屏短剧改编潜力评估报告】

【核心爽点】:评分:[X.X]
[概括核心爽点]
[分析与评估,阐述理由与依据]
[对标市场爆款剧集的优势与不足]
[至少2条具体的、可落地执行的优化建议]

【故事类型】:评分:[X.X]
[概括故事类型]
[分析与评估,阐述理由与依据]
[对标市场爆款剧集的优势与不足]
[至少2条具体的、可落地执行的优化建议]

【人物设定】:评分:[X.X]
[梳理主要角色人设]
[分析与评估,阐述理由与依据]
[对标市场爆款剧集的优势与不足]
[至少2条具体的、可落地执行的优化建议]

【人物关系】:评分:[X.X]
[梳理主要人物关系]
[分析与评估,阐述理由与依据]
[对标市场爆款剧集的优势与不足]
[至少2条具体的、可落地执行的优化建议]

【情节桥段】:评分:[X.X]
[梳理所有能够体现核心爽点的情节桥段]
[分析与评估,阐述理由与依据]
[对标市场爆款剧集的优势与不足]
[至少2条具体的、可落地执行的优化建议]

【综合评估】:
[综合上述分析,给出是否建议推进该项目的判断]
[简要说明后续开发的核心风险点与机遇点]

Best Practices

  • Text Completeness: Provide the complete story text to ensure a comprehensive and accurate evaluation
  • Objective and Fair: Evaluate based on professional standards, without being influenced by personal preferences
  • Benchmark Learning: Actively benchmark against market hits and learn from successful experience
  • Actionable Suggestions: The optimization suggestions provided must be specific and executable, avoiding vagueness

Detailed Documentation

See {baseDir}/references/ directory for more documentation:

  • examples.md - Detailed evaluation examples (urban comeback, historical palace intrigue, modern romance, and other genres)
  • guide.md - Detailed evaluation standards and scoring rules

Version History

Version Date Changes
2.1.0 2026-01-11 Optimize the description field to make it more concise and compliant with imperative language conventions; change the model to opus; optimize the descriptions of features, use cases, core steps, input requirements, and output format to make them more compliant with imperative language conventions; add constraints, examples, and detailed documentation sections.
2.0.0 2026-01-11 Refactor according to official specifications, add references structure
1.0.0 2026-01-10 Initial version