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Create View

Checked
wavetermdev·vlatest·database·Apache-2.0

Generates custom data visualizations from text prompts, enabling quick insights and exploration of complex datasets.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wavetermdev/waveterm --skill create-view -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wavetermdev

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 wavetermdev/waveterm at 6d61b999fe.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
6d61b999fe
Manifest
.kilocode/skills/create-view/SKILL.md
Scanned
1 file, 487 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The create-view skill allows an AI agent to generate views or perspectives on a given topic. It can synthesize information and present it in a structured format, offering different angles of analysis. This is particularly useful for understanding complex subjects or exploring potential solutions from multiple viewpoints.

When to use it

  • Brainstorming: Generate diverse ideas for a new product by asking the agent to create views from the perspectives of various customer segments.
  • Problem Solving: Explore different approaches to resolving a conflict by requesting views representing each party involved.
  • Content Creation: Develop multiple drafts or outlines for an article by having the agent generate views with varying tones and focuses.
  • Strategic Planning: Analyze potential market entry strategies from the viewpoints of competitors, customers, and internal stakeholders.

Key capabilities

  • Perspective Generation: Creates views based on specified roles or positions.
  • Information Synthesis: Combines information to form coherent perspectives.
  • Structured Output: Presents generated views in a clear and organized manner.

Example prompts

  • "Create a view of climate change from the perspective of an economist."
  • "Generate three different views on remote work – one positive, one negative, and one neutral."
  • “What would a marketing expert think about this new product?”

Tips & gotchas

The quality of the generated views depends heavily on the specificity of the requested perspectives. Providing clear roles or backgrounds for each view will yield more relevant results.