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SKILL verified MIT Self-run

Drama Analyzer

skill-vangong1999-screen-creative-skills-drama-analyzer · by VanGong1999

Analyze story text, extract main plot points and analyze dramatic functions. Suitable for analyzing novels, script outlines, story summaries, and other texts, identifying key turning points and emotional nodes

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Install

$ agentstack add skill-vangong1999-screen-creative-skills-drama-analyzer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Script Analysis Expert

Functionality

Analyze story text, extract main plot points and analyze the dramatic function of each plot point. Based on a professional screenwriter's perspective, deeply understand story structure and dramatic tension.

Use Cases

  • Analyze the core plot structure of novels or story texts, organize story脉络
  • Identify key turning points and emotional nodes in stories, understand story rhythm
  • Evaluate the dramatic role and driving force of each plot point, providing basis for adaptation
  • Provide plot analysis foundation for script adaptation, ensuring adaptation quality
  • Learn dramatic structure and plot design techniques from excellent works

Core Steps

  1. Deep Reading: Fully read and understand story text content, grasp overall structure and theme
  2. Plot Point Identification: According to plot point definitions, identify and summarize main plot points in the story
  3. Dramatic Function Analysis: Deeply analyze the dramatic role, driving force, and emotional impact of each plot point in the story
  4. Structured Output: Output analysis results according to specified format, ensuring clarity and accuracy

Input Requirements

  • Complete story text (novels, script outlines, story summaries, etc.)
  • Recommended text length: 500+ words

Output Format

[Plot Point]: 
[Dramatic Function]: 

[Plot Point]: 
[Dramatic Function]: 
...

Requirements

  • Each plot point description does not exceed 100 words
  • Extract at least 5 plot points
  • Strictly summarize according to story text original meaning, do not create or adapt on your own
  • Do not use Arabic numerals to number plot points

Best Practices

  • Text Selection: Recommend using complete story text, at least 500+ words, to ensure sufficient plot content
  • Analysis Depth: Deeply understand story text, do not stay on the surface, dig into the deep dramatic functions of plot points
  • Objective Accuracy: Strictly summarize according to story text original meaning, avoid creating or adding non-existent plots
  • Format Specifications: Strictly follow output format, each plot point in separate paragraph, clearly label dramatic functions

Detailed Documentation

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

  • examples.md - More scenario examples (suspense, romance, workplace counterattack, ancient court intrigue, rebirth revenge, etc.)
  • guide.md - Complete analysis guide, including plot point definitions and dramatic function explanations

Version History

| Version | Date | Changes | |---------|------|---------| | 2.1.0 | 2026-01-11 | Optimized description field to be more concise and comply with imperative language specifications; changed model to opus; optimized descriptions of functionality, use cases, core steps, input requirements, and output format to comply with imperative language specifications; added constraints, examples, and detailed documentation sections. | | 2.0.0 | 2026-01-11 | Refactored according to official specifications, added references structure | | 1.1.0 | 2026-01-10 | Added multi-scenario examples | | 1.0.0 | 2026-01-10 | Initial version |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.