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Story Outline Evaluator

Community
VanGong1999
story-outline-evaluator

Professionally evaluate story outlines, judge and score from dimensions of market potential, innovation attributes, and content highlights. Suitable for story outline quality assessment, IP adaptation potential judgment, project approval decision

Overview

PublisherVanGong1999
Repositoryscreen-creative-skills
Skill namestory-outline-evaluator
Stars
474
Forks
85
Bundled files
2
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.

  • 2 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 Story Outline 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/story-outline-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/story-outline-evaluator .claude/skills/story-outline-evaluator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Story Outline 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 Story Outline 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 Story Outline 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.

Story Outline Evaluation Expert

Functionality

Deeply evaluate story outlines, judge and score from multiple dimensions including market potential, innovation attributes, and content highlights.

Use Cases

  • Evaluate story outline quality.
  • Judge IP adaptation potential.
  • Serve as project approval decision reference.
  • Guide story optimization direction.

Evaluation Dimensions

1. Market Potential

Combine with market, judge story outline's market performance potential.

  • Audience Fit: Judge whether story fits target audience.
  • Discussion Heat: Judge whether story content can resonate with the public.
  • Scarcity: Analyze whether story has sufficient uniqueness.
  • Performance Data: Analyze story's market prospects.

2. Innovation Attributes

Judge whether story outline has innovation.

  • Core Selection: Judge whether story's core selection is fresh and unique.
  • Story Concept: Judge whether story's concept is outstanding and clear.
  • Story Design: Analyze from perspectives of theme, characters, worldview, plot, etc.

3. Content Highlights

From story content level, judge whether it has strong watchability.

  • Theme Concept: Analyze whether theme concept is clear and definite.
  • Story Situation: Judge whether story situation has tension and drama.
  • Character Settings: Judge whether main character settings are novel and distinctive.
  • Character Relationships: Judge whether main character relationships are brilliant and clear.
  • Plot Devices: Judge whether plot devices have dramatic tension.

Scoring Standards

  • 8.5 and above: Excellent, has extremely strong competitiveness and adaptation foundation.
  • 8.0-8.4: Good, has strong competitiveness and adaptation foundation.
  • 7.5-7.9: Qualified, average competitiveness.
  • 7.4 and below: Poor, almost no competitiveness.

Core Steps

  1. Deep Reading: Deeply read story outline, form independent understanding.
  2. Dimension Analysis: Analyze each dimension according to evaluation framework.
  3. Scoring Judgment: Score each dimension and form overall evaluation.
  4. Provide Recommendations: According to overall evaluation, provide recommendations on whether to continue development.

Input Requirements

  • Complete story outline.
  • Story's genre and type (such as: urban emotion, ancient fantasy, etc.).

Output Format

[Story Outline Evaluation Report]

[Market Potential]:
- Audience Fit: [Analysis and Evaluation] Score: [X.X]
- Discussion Heat: [Analysis and Evaluation] Score: [X.X]
- Scarcity: [Analysis and Evaluation] Score: [X.X]
- Performance Data: [Analysis and Evaluation] Score: [X.X]

[Innovation Attributes]:
- Core Selection: [Summary Analysis] Score: [X.X]
- Story Concept: [Summary Analysis] Score: [X.X]
- Story Design: [Summary Analysis] Score: [X.X]

[Content Highlights]:
- Theme Concept: [Summary Analysis] Score: [X.X]
- Story Situation: [Brief description and analysis] Score: [X.X]
- Character Settings: [Summary Analysis] Score: [X.X]
- Character Relationships: [Summary Analysis] Score: [X.X]
- Plot Devices: [Analysis of performance] Score: [X.X]

[Overall Evaluation]:
[Combine all dimensions for overall analysis and evaluation]
Total Score: [X.X]

[Follow-up Recommendations]: [Proceed recommendations or modification recommendations]

Constraints

  • Evaluation must be based on provided story outline content, do not create or add information on your own.
  • Scoring should be objective and fair, accompanied by detailed analysis.
  • Recommendations should be specific and feasible, helping story outline improvement.

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 Story Outline Evaluator AI skill do?

Professionally evaluate story outlines, judge and score from dimensions of market potential, innovation attributes, and content highlights. Suitable for story outline quality assessment, IP adaptation potential judgment, project approval decision

Why use Story Outline Evaluator on TypingMind?

Because you install it once and use it with any model. Story Outline 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 Story Outline 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/story-outline-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 Story Outline 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 Story Outline Evaluator?

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

Is the Story Outline 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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