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Drama Evaluator

Community
VanGong1999
drama-evaluator

Evaluate and score according to vertical short drama evaluation standards, from dimensions including core satisfaction points, story types, etc. Suitable for evaluating story adaptation potential for vertical short dramas, analyzing market competitiveness

Overview

PublisherVanGong1999
Repositoryscreen-creative-skills
Skill namedrama-evaluator
Stars
474
Forks
85
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by VanGong1999 on GitHub. Read the source before you install it.

Installation

Install the Drama Evaluator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/evaluation/drama-evaluator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/VanGong1999/screen-creative-skills.git /tmp/screen-creative-skills
mkdir -p .claude/skills
cp -r /tmp/screen-creative-skills/english-version/category/evaluation/drama-evaluator .claude/skills/drama-evaluator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Drama Evaluator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Drama Evaluator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Drama Evaluator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Vertical Short Drama Evaluation Expert

Functionality

According to professional vertical short drama evaluation standards, deeply evaluate and score story text from dimensions including core satisfaction points, story types, character settings, character relationships, plot devices, etc., analyzing the possibility of IP incubating into a hit vertical short drama.

Use Cases

  • Evaluate story adaptation potential for vertical short dramas
  • Analyze story market competitiveness
  • Identify story strengths and weaknesses
  • Provide professional recommendations for story optimization

Evaluation Dimensions

1. Core Satisfaction Points

Evaluate whether story has sufficiently strong core satisfaction points

  • Universalization Degree: Whether satisfaction points are rooted in universal desires or suppressions of the general public
  • Clarity and Concreteness: Whether satisfaction points are concrete and visualizable
  • Rhythmic Progression: Whether there is layered progression of small, medium, and big satisfaction points

2. Story Type

Evaluate market competitiveness of story type

  • Strong Setting: Whether there is highly attractive supernatural setting
  • Classic + Innovation: Whether using classic patterns to attract audience while integrating innovative elements
  • Extremization: Whether extremizing audience-familiar tropes

3. Character Settings

Evaluate effectiveness and attractiveness of character settings

  • Contrast Sense: Whether protagonist image contrast is extreme
  • Clear Desire: Whether protagonist desire is single and clear
  • Functionalization: Whether villains are highly stereotyped with clear functions

4. Character Relationships

Evaluate dramatic tension of character relationships

  • Strong Conflict: Whether character relationships are extremely binary opposed
  • Strong Bonding: Whether character relationships are extremely tight
  • Power Structure: Whether there is clear power hierarchy division

5. Plot Devices

Evaluate satisfaction creation of plot devices

  • Cut into Conflict: Whether skipping process, directly cutting into core conflict
  • Emotional Extremity: Whether each device only serves one extreme emotion
  • Visual Transformation: Whether can transform into exaggerated expressions, dramatic actions
  • Suspense Setup: Whether strong suspense is set at each episode ending

Scoring Standards

  • 8.5 and above: Excellent, extremely strong competitiveness and development value
  • 8.0-8.4: Has potential, strong competitiveness, needs some modification
  • 7.5-7.9: Average, average competitiveness, needs major modification
  • 7.4 and below: Poor, insufficient competitiveness

Workflow

  1. Deep Reading: Fully read and understand story text, grasp 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 dramas, analyze strengths and weaknesses
  4. Optimization Recommendations: Provide specific actionable optimization recommendations
  5. Comprehensive Evaluation: Form overall evaluation and development recommendations

Output Format

Evaluation Report Format

[Vertical Short Drama Adaptation Potential Evaluation Report]

[Core Satisfaction Points]: Score: [X.X]
[Summarize core satisfaction points]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Story Type]: Score: [X.X]
[Summarize story type]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Character Settings]: Score: [X.X]
[Organize main character personas]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Character Relationships]: Score: [X.X]
[Organize main character relationships]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Plot Devices]: Score: [X.X]
[Organize all plot devices that can embody core satisfaction points]
[Analysis and evaluation, expound reasons and basis]
[Benchmark advantages and disadvantages against market hit dramas]
[At least 2 specific, actionable optimization recommendations]

[Comprehensive Evaluation]:
[Combine above analysis, give judgment on whether to recommend proceeding with this project]
[Briefly explain core risk points and opportunity points for subsequent development]

Best Practices

  • Text Completeness: Provide complete story text to ensure comprehensive and accurate evaluation
  • Objective and Fair: Evaluate based on professional standards, unaffected by personal preferences
  • Benchmark Learning: Actively benchmark against market hits, learn from successful experiences
  • Actionable Recommendations: Provided optimization recommendations should be specific and executable, avoid vague generalities

Resources

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Drama Evaluator AI skill do?

Evaluate and score according to vertical short drama evaluation standards, from dimensions including core satisfaction points, story types, etc. Suitable for evaluating story adaptation potential for vertical short dramas, analyzing market competitiveness

Why use Drama Evaluator on TypingMind?

Because you install it once and use it with any model. Drama Evaluator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Drama Evaluator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VanGong1999/screen-creative-skills/tree/master/english-version/category/evaluation/drama-evaluator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Drama Evaluator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Drama Evaluator?

As many as you like. As long as a model supports skills, you can use Drama Evaluator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Drama Evaluator AI skill free?

Yes. It is published on GitHub by VanGong1999 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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