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What it does
Analyze aired series, including information retrieval, scene-by-scene analysis, five elements analysis, and web search. Suitable for deep analysis of series creation techniques, learning plot design
Skill profile
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skill
sickn33
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this,"...
Claude Code · Codex · OpenClaw
Python
Updated 5/26/2026
Agent compatibility
Compatibility has not been reviewed for this listing yet. Check the publisher documentation before installing.
Installation
npx skills add https://github.com/GongLingRui/screen-creative-skills --skill series-analyzerReview source code and installation permissions before adding third-party tools to an agent.
series-analyzer is organized in the Analytics category. Compare its source, install method, and compatibility before adding it to your workflow.
Third-party agent tools may access source code, credentials, or browser sessions. Read the source documentation and use the minimum permissions needed.
npx skills add https://github.com/GongLingRui/screen-creative-skills --skill series-analyzerSKILL.md
---
name: series-analyzer
description: Analyze aired series, including information retrieval, scene-by-scene analysis, five elements analysis, and web search. Suitable for deep analysis of series creation techniques, learning plot design
category: series-analysis
version: 2.1.0
last_updated: 2026-01-11
license: MIT
compatibility: Claude Code 1.0+
maintainer: Gong Fan
allowed-tools:
- WebSearch
- Read
model: opus
changelog:
- version: 2.1.0
date: 2026-01-11
changes:
- type: improved
content: Optimized description field to be more concise and comply with imperative language specifications
- type: added
content: Added allowed-tools (WebSearch, Read) and model (opus) fields
- type: improved
content: Optimized descriptions of functionality, use cases, core functions, workflow, input requirements, output format, and technical features to comply with imperative language specifications
- type: added
content: Added constraints, examples, and detailed documentation sections
- version: 2.0.0
date: 2026-01-11
changes:
- type: breaking
content: Refactored according to Agent Skills official specifications
- type: improved
content: Optimized description, using imperative language, simplified main content
- type: added
content: Added license and compatibility optional fields
- version: 1.0.0
date: 2026-01-10
changes:
- type: added
content: Initial version
---
# Aired Series Analysis and Scene-by-Scene Breakdown Expert
## Functionality
Analyze various aspects of aired TV series, including series information retrieval, scene-by-scene analysis, story five elements analysis, web search, and result integration.
## Use Cases
- Deeply analyze creation techniques and plot design of aired TV series.
- Learn from excellent series, provide inspiration and reference for script creation.
- Conduct film and TV research and teaching, analyze reasons for series success or failure.
- Assist script evaluation, provide comprehensive series market feedback and content analysis.
## Core Functions
1. **Series Information Retrieval**: Obtain series basic information (such as director, actors, ratings, episode plots, etc.).
2. **Web Search**: Use web search to obtain latest series related information, audience reviews, and hot discussions.
3. **Scene-by-Scene Analysis**: Analyze plot points and dramatic functions for each episode, revealing narrative structure.
4. **Story Five Elements Analysis**: Comprehensively analyze series' genre types, story summary, character biographies, character relationships, major plot points.
5. **Result Integration**: Integrate all analysis results, generate structured, professional comprehensive analysis reports.
## Workflow
```mermaid
graph TD
A[Receive user input] --> B{Intent recognition - Determine if contains series name}
B -- Yes --> C[Extract series name - Accurately extract TV series name]
C --> D(Execute main tasks in parallel)
D --> D1[Series information retrieval]
D --> D2[Web search]
D --> D3[Story five elements analysis]
D -- Completed --> E[Episode segmentation and scene-by-scene analysis]
E --> F[Integrate all analysis results]
F --> G[Output final analysis report]
```
## Input Requirements
- **TV Series Name**: Clearly specify the TV series name to be analyzed.
- **Specific Analysis Requirements** (optional): Specify aspects requiring focused analysis, such as "analyze its character relationships" or "evaluate its commercial value."
## Output Format
```
[Aired Series Analysis Report]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
I. Series Overview
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Series Name: [Name]
- Director: [Director]
- Main Cast: [Cast list]
- Genre: [Genre]
- Episodes: [Episode count]
- Rating: [Rating, such as Douban rating]
- Platform: [Platform]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
II. Story Five Elements Analysis
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. Genre Type and Creative Element Extraction
- Dominant Genre: [Description]
- Core Creativity: [Description]
2. Story Summary
- [200-500 word story summary]
3. Character Biographies (Main Characters)
- [Character 1 Name]: [Character biography]
- [Character 2 Name]: [Character biography]
4. Character Relationship Network
- Core character relationships: [Description]
- Main relationship lines: [List]
5. Major Plot Points
- [Plot point 1]: [Description]
- [Plot point 2]: [Description]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
III. Scene-by-Scene Analysis (Sample Episodes)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
### [Episode X Title]
- **Key Plot Points**: [Description]
- **Dramatic Function**: [Analysis]
- **Narrative Techniques**: [Analysis]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
IV. Web Search Information and Market Feedback
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- **Latest Reviews**: [Summarize audience reviews and reputation]
- **Hot Discussions**: [Analyze social media or forum hot topics]
- **Industry Impact**: [Evaluate series' influence on industry]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
V. Comprehensive Evaluation and Recommendations
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Overall Evaluation]: [Overall evaluation of series]
[Creative Highlights]: [Summarize series' creative advantages]
[Improvement Areas]: [Propose aspects for improvement]
[Industry Reference Value]: [Summarize reference value for industry or future creation]
```
## Constraints
- Ensure series name is accurate to obtain correct information.
- Analysis content must be faithful to the series itself, no subjective conjecture or over-interpretation.
- Report content must be clearly structured, professional language, easy to understand.
- Avoid introducing any hallucinations or false information in output.
## Examples
See `{baseDir}/references/examples.md` directory for more detailed examples:
- `examples.md` - Contains detailed analysis report examples for different series types (such as ancient costume, urban, suspense).
## Detailed Documentation
See `{baseDir}/references/examples.md` for detailed guidance and cases on aired series analysis.
---
## Version History
| Version | Date | Changes |
|---------|------|---------|
| 2.1.0 | 2026-01-11 | Optimized description field to be more concise and comply with imperative language specifications; added allowed-tools (WebSearch, Read) and model (opus) fields; optimized descriptions of functionality, use cases, core functions, workflow, input requirements, output format, and technical features to comply with imperative language specifications; added constraints, examples, and detailed documentation sections. |
| 2.0.0 | 2026-01-11 | Refactored according to official specifications |
| 1.0.0 | 2026-01-10 | Initial version |
skill
jinchenma94
>