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Information Architect

Checked
vadimcomanescu·vlatest·data·MIT

This "Information Architect" skill helps organize complex data into clear structures, boosting usability and understanding for users.

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 vadimcomanescu/codex-skills --skill information-architect -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

vadimcomanescu

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 vadimcomanescu/codex-skills at 0fd6da0fcc.

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

Scanned
13 files, 647 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 information-architect skill enables AI agents to structure and organize large amounts of data into logical hierarchies. It can create site maps, taxonomies, and content outlines based on provided text or datasets. This allows for improved navigation, searchability, and overall understanding of complex information.

When to use it

  • Website Planning: Generate a sitemap for a new website based on its intended functionality and target audience.
  • Content Organization: Structure a lengthy document (like a book or research paper) into chapters and sections with clear headings.
  • Knowledge Base Creation: Organize a collection of articles or FAQs into a searchable knowledge base.
  • Data Analysis & Reporting: Create a hierarchical outline to summarize key findings from a large dataset.

Key capabilities

  • Hierarchical structuring of data
  • Taxonomy creation
  • Site map generation
  • Content outlining

Example prompts

  • "Create a site map for an online store selling handmade jewelry."
  • "Organize these research notes into a logical outline with chapter headings: [paste notes here]"
  • "Generate a taxonomy of different types of dogs, including breeds and characteristics."

Tips & gotchas

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