Agent skill

Series Analyzer

by VanGong1999 in VanGong1999/screen-creative-skills

Analyze aired series, including information retrieval, scene-by-scene analysis, five elements analysis, and web search.

MITAuto-check passedProductivity & Automation

Install Series Analyzer

skills CLI
$ npx skills add VanGong1999/screen-creative-skills --skill series-analyzer -a claude-code

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

GitHub CLI
$ gh skill install VanGong1999/screen-creative-skills series-analyzer --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/series-analysis/series-analyzer .claude/skills/series-analyzer && 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
series-analyzer
GitHub stars
446
Token cost
~1.7k tokens
SKILL.md length
347 words
Files
2 (incl. references)
Skills in repo
62
Repo updated
First seen
Licence
MIT

At a glance

Analyze aired series, including information retrieval, scene-by-scene analysis, five elements analysis, and web search.

  • Works in 5 steps: Series Information Retrieval: Obtain… → Web Search: Use web search to obtain… → Scene-by-Scene Analysis: Analyze plot… → …
  • Tasks that involve Web search
  • SKILL.md covers Functionality, Use Cases, Core Functions and Workflow, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Series Analyzer is an agent skill from VanGong1999/screen-creative-skills. 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

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/examples.md`). Compatibility notes: Claude Code 1.0+

It sits in Productivity & Automation, covering Web search. 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.

When your agent uses it

  • Tasks that involve Web search

Example prompts

  • “/series-analyzer”

Requirements

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

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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…
  5. Result Integration: Integrate all analysis results, generate structured, professional comprehensive analysis reports.

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:

    • WebSearch
    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are mermaid).

    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

Series Analyzer loads about 1.7k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 347 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

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). 347 words, ~1,706 tokens.

Download SKILL.mdSave it as .claude/skills/series-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
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
allowed-tools
WebSearch, Read
compatibility
Claude Code 1.0+
category
series-analysis
version
2.1.0
last_updated
2026-01-11
license
MIT
maintainer
Gong Fan
model
opus

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

VersionDateChanges
2.1.02026-01-11Optimized 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.
2.0.02026-01-11Refactored 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 1 other file (references) in english-version/category/series-analysis/series-analyzer of VanGong1999/screen-creative-skills.

  • SKILL.md
  • references/examples.md

Open the folder on GitHubat commit 6ced54f

Compare with similar skills

Series Analyzer 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.

Series Analyzer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Series Analyzer this skillVanGong1999/screen-creative-skills446—~1.7kAutomated safety check: PassMIT
Brave Searchbadlogic/pi-skills2.6k5 repos~592Automated safety check: PassMIT
Enterprise AI Scenario MapMetaInFLow/Enterprise-ai-scenario-map-skill632—~1.8kAutomated safety check: PassMIT
Web Searchjjyaoao/HelloAgents3.2k1 repos~5.6kAutomated safety check: PassMIT
Ddg SearchTheSyart/claude-agent-examples4071 repos~493Automated safety check: PassNone
Local Web SearchuluckyXH/OpenMOSS1.3k—~392Automated safety check: NotesMIT

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Questions about Series Analyzer

What does Series Analyzer do?

Analyze aired series, including information retrieval, scene-by-scene analysis, five elements analysis, and web search. Series Analyzer is an agent skill from VanGong1999/screen-creative-skills. Analyze aired series, including information retrieval, scene-by-scene analysis, five elements analysis, and web search.

When should I use Series Analyzer?

Series Analyzer fits situations like: tasks that involve Web search.

How do I install Series Analyzer in Claude Code?

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

How do I install Series Analyzer in Codex?

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

Can I use Series Analyzer 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 series-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/series-analyzer, .gemini/skills/series-analyzer, .github/skills/series-analyzer and .opencode/skills/series-analyzer in your project.

What does Series Analyzer need to run?

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

Does Series Analyzer 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 Series Analyzer 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 Series Analyzer use?

Series Analyzer 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 Series Analyzer use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Series Analyzer?

Skills that share tags, products or a category with Series Analyzer: Brave Search (badlogic/pi-skills, 2.6k stars), Enterprise AI Scenario Map (MetaInFLow/Enterprise-ai-scenario-map-skill, 632 stars), Web Search (jjyaoao/HelloAgents, 3.2k stars) and Ddg Search (TheSyart/claude-agent-examples, 407 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Series Analyzer?

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.