Information Architecture
CheckedOrganizes complex data & content into logical structures for improved user understanding and efficient navigation – boosting usability.
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 aj-geddes/useful-ai-prompts --skill information-architecture -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
aj-geddes
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 6 files, 291 lines
About this skill
What it does
This skill helps AI agents organize, structure, and categorize information to improve clarity and findability. It transforms unstructured data into logical hierarchies, making complex datasets easier for humans or other systems to navigate.
When to use it
- Structuring raw notes or interview transcripts into a coherent knowledge base.
- Designing folder hierarchies or navigation menus for new websites or apps.
- Categorizing large collections of files, documents, or digital assets.
- Creating taxonomies for tagging content in databases or CMS platforms.
Key capabilities
- Analyzing unstructured text to identify themes and relationships.
- Generating logical hierarchies and parent-child structures.
- Suggesting naming conventions and labeling strategies.
- Mapping out user journeys based on information needs.
Example prompts
"Organize these 50 customer support tickets into a logical category system with subcategories." "Propose an information architecture for a new e-commerce site selling outdoor gear, including main navigation and section breakdowns." "Create a tagging taxonomy for my research library that includes at least three levels of depth."
Tips & gotchas
Ensure you provide sufficient context about the target audience or user goals; vague instructions may result in generic structures. This skill works best when paired with content generation or analysis tasks to ensure the architecture fits the actual data volume.