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Solution Design

Checked
akiselev·vlatest·other·Apache-2.0

Designs practical, detailed solutions to complex problems, outlining steps, resources, and potential challenges.

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 akiselev/qt-llm-template --skill solution-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

akiselev

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 akiselev/qt-llm-template at 6855e82e0c.

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

Commit
6855e82e0c
Manifest
.claude/skills/solution-design/SKILL.md
Scanned
3 files, 101 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 solutions to problems, outlining potential approaches and considerations. It can generate architectural diagrams based on textual descriptions, and suggest alternative technologies or frameworks. The tool aims to provide a structured starting point for complex projects by breaking down requirements into manageable components.

When to use it

  • You need help brainstorming different ways to solve a technical challenge.
  • You want an initial architectural diagram created from a high-level description of a system.
  • You're exploring alternative technologies or frameworks for a project and need suggestions.
  • You’re looking for a structured approach to defining the components of a software solution.

Key capabilities

  • Architectural Diagram Generation
  • Technology/Framework Suggestion
  • Solution Brainstorming
  • Structured Solution Definition

Example prompts

  • "Design a system for managing online orders, including payment processing and inventory tracking."
  • "Suggest alternative databases to PostgreSQL for a high-volume application."
  • “Outline the components needed for an AI powered chatbot.”

Tips & gotchas

The quality of the generated solutions depends heavily on the clarity and detail provided in the initial prompt. Be as specific as possible about requirements and constraints for optimal results.