Agent skill

Story Outline Evaluator

by VanGong1999 in VanGong1999/screen-creative-skills

Professionally evaluate story outlines, judge and score from dimensions of market potential, innovation attributes, and content highlights.

MITAuto-check passed

Install Story Outline Evaluator

skills CLI
$ npx skills add VanGong1999/screen-creative-skills --skill story-outline-evaluator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install VanGong1999/screen-creative-skills story-outline-evaluator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/VanGong1999/screen-creative-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/english-version/category/evaluation/story-outline-evaluator .claude/skills/story-outline-evaluator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
story-outline-evaluator
GitHub stars
446
Token cost
~1.4k tokens
SKILL.md length
417 words
Files
3 (incl. references)
Skills in repo
62
Repo updated
First seen
Licence
MIT

At a glance

Professionally evaluate story outlines, judge and score from dimensions of market potential, innovation attributes, and content highlights.

  • Works in 3 steps: Market Potential → Innovation Attributes → Content Highlights
  • SKILL.md covers Functionality, Use Cases, Evaluation Dimensions and Scoring Standards, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Story Outline Evaluator is an agent skill from VanGong1999/screen-creative-skills. 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

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/examples.md` and `references/guide.md`). Compatibility notes: Claude Code 1.0+

The repository describes itself as: Skills for Film and Television Creation Agents|31 个影视创作评估策划Agent Skills|AI影视自动化工作流|竖屏短剧长剧IP改编|情节题材提炼|剧本小说IP创作策划评估|人物小传|拉片人物剧集故事五元素分析|大纲生成|. The licence is MIT.

Example prompts

  • “/story-outline-evaluator”

Requirements

  • Compatibility (from SKILL.md): Claude Code 1.0+
  • Pre-approved tools (allowed-tools): Read

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Market Potential
  2. Innovation Attributes
  3. Content Highlights

What it can do on your machine

Read from SKILL.md and the folder at commit 6ced54f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code 1.0+

    From compatibility in the SKILL.md frontmatter.

Context cost

Story Outline Evaluator loads about 1.4k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 417 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from VanGong1999/screen-creative-skills at commit 6ced54f, republished under its MIT licence (© VanGong1999). 417 words, ~1,427 tokens.

Download SKILL.mdSave it as .claude/skills/story-outline-evaluator/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
story-outline-evaluator
description
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
allowed-tools
Read
compatibility
Claude Code 1.0+
category
evaluation
version
2.1.0
last_updated
2026-01-11
license
MIT
maintainer
Gong Fan
model
opus

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.
Show full SKILL.md (145 more words)Show less

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.

Examples

Please refer to {baseDir}/references/examples.md for detailed evaluation examples. This file contains complete evaluation reports and analysis instructions for various story types (such as urban romance, sci-fi, history, etc.).

Detailed Documentation

See {baseDir}/references/guide.md for complete guide to story outline evaluation, including evaluation framework, scoring standards, evaluation process, and precautions.


Version History

VersionDateChanges
2.1.02026-01-11Optimized description field, added allowed-tools (Read) and model (opus) fields, adjusted main content language style, added constraints, and directed to references/examples.md
2.0.02026-01-11Refactored according to official specifications
1.0.02026-01-10Initial version

© VanGong1999, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in english-version/category/evaluation/story-outline-evaluator of VanGong1999/screen-creative-skills.

  • SKILL.md
  • references/examples.md
  • references/guide.md

Open the folder on GitHubat commit 6ced54f

Compare with similar skills

Story Outline Evaluator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Story Outline Evaluator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Story Outline Evaluator this skillVanGong1999/screen-creative-skills446—~1.4kAutomated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
EvaluatorsArize-ai/phoenix12k—~1.7kAutomated safety check: PassCustom licence
Data Story Outlinerjeremylongshore/tons-of-skills-marketplace2.8k—~561Automated safety check: PassMIT
LLM Evaluationdavila7/claude-code-templates33k12 repos~3.5kAutomated safety check: PassMIT
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT

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Questions about Story Outline Evaluator

What does Story Outline Evaluator do?

Professionally evaluate story outlines, judge and score from dimensions of market potential, innovation attributes, and content highlights. Story Outline Evaluator is an agent skill from VanGong1999/screen-creative-skills. Professionally evaluate story outlines, judge and score from dimensions of market potential, innovation attributes, and content highlights.

How do I install Story Outline Evaluator in Claude Code?

Run `npx skills add VanGong1999/screen-creative-skills --skill story-outline-evaluator -a claude-code`. Or copy the skill folder (english-version/category/evaluation/story-outline-evaluator in VanGong1999/screen-creative-skills) into .claude/skills/story-outline-evaluator in your project. Claude Code loads it when a task matches its description.

How do I install Story Outline Evaluator in Codex?

Run `npx skills add VanGong1999/screen-creative-skills --skill story-outline-evaluator -a codex`. Or copy the skill folder (english-version/category/evaluation/story-outline-evaluator in VanGong1999/screen-creative-skills) into .agents/skills/story-outline-evaluator in your project. Codex loads it when a task matches its description.

Can I use Story Outline Evaluator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VanGong1999/screen-creative-skills --skill story-outline-evaluator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/story-outline-evaluator, .gemini/skills/story-outline-evaluator, .github/skills/story-outline-evaluator and .opencode/skills/story-outline-evaluator in your project.

What does Story Outline Evaluator need to run?

SKILL.md names no scripts, command-line tools or credentials: Story Outline Evaluator is instructions for the agent only. Its frontmatter pre-approves these tools: Read. Compatibility (from SKILL.md): Claude Code 1.0+.

Does Story Outline Evaluator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Story Outline Evaluator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Story Outline Evaluator use?

Story Outline Evaluator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Story Outline Evaluator use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.

What are the alternatives to Story Outline Evaluator?

Skills that share tags, products or a category with Story Outline Evaluator: Arize Evaluator (github/awesome-copilot, 40k stars), Evaluators (Arize-ai/phoenix, 12k stars), Data Story Outliner (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and LLM Evaluation (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Story Outline Evaluator?

VanGong1999 (a GitHub user) maintains it in VanGong1999/screen-creative-skills, which has 446 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on May 26, 2026.

Source: VanGong1999/screen-creative-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.