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Information Software Design

Checked
madeyexz·vlatest·frontend

Designs functional software solutions based on provided information needs, outlining architecture and key components.

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 madeyexz/ian-skills-agents --skill information-software-design -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

madeyexz

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 madeyexz/ian-skills-agents at 57927037bf.

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

Scanned
1 file, 174 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 assists in designing software solutions based on provided information. It can translate user needs into functional specifications, create basic architectural diagrams, and suggest appropriate technologies for a given project scope. The skill aims to streamline the initial design phase of software development projects.

When to use it

  • You need help outlining the core features of a new application.
  • You want to explore different technology options for building a specific feature.
  • You're struggling to translate user stories into concrete technical requirements.
  • You require assistance in creating initial architectural diagrams or flowcharts.

Key capabilities

  • Translates user needs into functional specifications.
  • Generates basic architectural diagrams.
  • Suggests appropriate technologies for software projects.

Example prompts

  • "Design a mobile app for tracking personal finances, including budgeting and expense categorization."
  • "What are the best technologies to use for building a real-time chat application?"
  • "Create a flowchart outlining the user registration process for an e-commerce website."

Tips & gotchas

The skill's output is intended as a starting point; further refinement and validation by experienced software engineers are recommended. Providing detailed context and specific requirements will yield more accurate and useful design suggestions.