Series Analyzer
CheckedAnalyzes numerical series data to identify patterns and trends, offering valuable insights for forecasting and understanding complex datasets.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add vangong1999/screen-creative-skills --skill series-analyzer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
gonglingrui
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned gonglingrui/screen-creative-skills at 6ced54f40c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 6ced54f40c
- Scanned
- 4 files, 596 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The gonglingrui-series-analyzer skill analyzes video series, extracting key information and summarizing content. It can identify episode titles, descriptions, and potentially other metadata associated with each installment. This allows for efficient understanding of a series without needing to watch every episode.
When to use it
- Researching a new show: Quickly get an overview of a TV series before committing to watching it.
- Recap creation: Generate summaries of episodes or entire seasons for sharing with others.
- Content organization: Automatically catalog and organize information about video series collections.
- Building recommendations: Use the extracted data to suggest similar shows based on content analysis.
Key capabilities
- Series metadata extraction (episode titles, descriptions)
- Video series summarization
- Potential for identifying episode-specific details (not explicitly stated but implied by functionality)
Example prompts
- "Analyze this video series: [link to series]"
- "Summarize the episodes of 'The Mandalorian'."
- "What are the titles and descriptions of each episode in Season 3 of Stranger Things?"
Tips & gotchas
- The skill's effectiveness depends on the availability and quality of metadata associated with the video series. Some series may have limited or inaccurate information available.