Series Analyzer

VerifiedSafe

Deep analysis of aired series: information retrieval, scene-by-scene analysis, five elements analysis, and web search. Suitable for analyzing series creation techniques and learning plot design.

Sby Skills Guide Bot
ContentIntermediate
7/22/2026
Claude Code
#tv-series#narrative-analysis#screenwriting#web-research#story-structure

Recommended for

Automated summary

Analyzes already-aired TV series by combining information retrieval, web search, scene-by-scene breakdown, and a five-elements story analysis into a single structured report.

Strengths

  • Breaks each episode into plot points and dramatic functions to expose the underlying narrative structure
  • Pairs web search with document reading through the allowed WebSearch and Read tools
  • Delivers a formatted, professional report covering overview, five story elements, and scene analysis
  • Serves as a practical reference for screenwriting study and script evaluation

Limitations

  • Limited to series that have already aired; cannot handle shows still in production
  • Analysis quality depends heavily on whatever web sources are found, with no built-in fact verification
  • No video parsing: it reasons over textual descriptions rather than actual footage
When to use it

Use it when you need a deep read of how an aired series is constructed, for screenwriting inspiration, film-studies teaching, or script assessment.

When not to use it

Avoid it for a quick plot summary or viewing recommendations, where this level of structured analysis is overkill.

Security analysis

Safe
Quality score82/100

The skill only instructs WebSearch and Read for retrieving and analyzing publicly available TV series information. It contains no destructive commands, credential access, exfiltration, obfuscation, or safety-disabling instructions. The Read tool could theoretically access local files, but the skill does not direct it to sensitive paths.

No concerns found

How this analysis is made

Examples

Scene-by-scene breakdown
Analyze the first season of Severance episode by episode, breaking down the plot points and dramatic function of each scene.
Five elements deep dive
Give me a five-elements analysis of The Bear — genre, story summary, character biographies, character relationships, and major plot points.
Why a series succeeded
Research audience reviews and hot discussions for Succession, then explain what made its narrative structure work.

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

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 |

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/series-analyzer-mrwakb9t/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/series-analyzer-mrwakb9t' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/series-analyzer-mrwakb9t/download' --output '.skill-downloads/series-analyzer-mrwakb9t/SKILL.md.part' && mv '.skill-downloads/series-analyzer-mrwakb9t/SKILL.md.part' '.skill-downloads/series-analyzer-mrwakb9t/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

Environment declared by the author: Claude Code 1.0+

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/series-analyzer-mrwakb9t/SKILL.md' && test -s '.skill-downloads/series-analyzer-mrwakb9t/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/series-analyzer' && cp -R '.skill-downloads/series-analyzer-mrwakb9t' '.claude/skills/series-analyzer'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/series-analyzer-mrwakb9t'

openskills read 'series-analyzer-mrwakb9t'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/series-analyzer-mrwakb9t/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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