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Information Architecture

Checked
kentoshimizu·vlatest·backend·Apache-2.0

Organizes complex data & content into logical structures for improved user understanding and navigation – boosting usability and efficiency.

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 kentoshimizu/sw-agent-skills --skill information-architecture -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

kentoshimizu

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 kentoshimizu/sw-agent-skills at 5b7bafb626.

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

Commit
5b7bafb626
Manifest
skills/information-architecture/SKILL.md
Scanned
4 files, 93 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

This skill helps AI agents structure and organize information. It can create sitemaps, taxonomies, and navigation systems for websites or digital products. The agent can analyze existing content to identify gaps and suggest improvements to the overall information architecture.

When to use it

  • Website Redesign: To plan a new website's structure and ensure intuitive user flow.
  • Content Inventory & Audit: To assess the current organization of a large body of digital content.
  • Knowledge Base Creation: For building a well-organized knowledge base or documentation system.
  • App Navigation Design: To design clear and logical navigation for mobile applications.

Key capabilities

  • Sitemap generation
  • Taxonomy creation
  • Navigation system design
  • Content gap analysis

Example prompts

  • "Create a sitemap for my online store selling handmade jewelry."
  • "Analyze this website [URL] and suggest improvements to its information architecture."
  • "Develop a taxonomy for articles about sustainable gardening practices."

Tips & gotchas

The agent's output is dependent on the clarity of your instructions and the quality of any existing content provided. Providing examples or outlines can significantly improve results.