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Information Architecture

Checked
lyndonkl·vlatest·backend

This skill structures complex data & knowledge into logical systems, improving clarity and usability for users and developers alike.

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 lyndonkl/claude --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

lyndonkl

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 lyndonkl/claude at 4acc337d4d.

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

Commit
4acc337d4d
Manifest
skills/information-architecture/SKILL.md
Scanned
4 files, 1,372 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, lyndonkl-information-architecture, helps AI agents structure and organize complex information. It can generate sitemaps, create hierarchical outlines from unstructured text, and suggest optimal navigation schemes for websites or documents. The goal is to improve clarity and user experience through thoughtful organization of content.

When to use it

  • Website Planning: Generate a proposed site map before development begins.
  • Document Structuring: Organize lengthy reports or research papers into logical sections and subsections.
  • Content Migration: Create an outline for restructuring existing website content.
  • Knowledge Base Organization: Develop a hierarchical structure for a company's internal knowledge base.

Key capabilities

  • Sitemap generation
  • Hierarchical outlining from text
  • Navigation scheme suggestions

Example prompts

  • "Generate a sitemap for an online store selling handcrafted jewelry."
  • "Create an outline of the key sections and subsections for a report on climate change impacts."
  • “Suggest a navigation structure for a website about sustainable gardening.”

Tips & gotchas

The quality of the output depends heavily on the clarity and completeness of the input text. Providing context or specific requirements will yield better results.