Skip to content
TrustedSkillsbeta
Back to all skills

Software Design Philosophy

Checked
wondelai·vlatest·other·MIT

Analyzes software projects, suggesting design improvements aligned with principles like SOLID, DRY, and YAGNI for maintainability.

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 wondelai/skills --skill software-design-philosophy -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

wondelai

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 wondelai/skills at c172996495.

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

Scanned
21 files, 5,916 lines
Copies in repo
3 — all of them scanned
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

software-design-philosophy

What it does

This skill provides AI agents with foundational principles and mental models for creating robust, scalable, and maintainable software architectures. It enables agents to evaluate trade-offs between different design patterns and align technical decisions with long-term project goals.

When to use it

  • Architectural Planning: When initiating a new project requiring high-level structural guidance before coding begins.
  • Code Review Analysis: To help agents critique existing codebases for adherence to best practices like separation of concerns.
  • Refactoring Strategy: When determining the safest and most effective approach to restructure legacy systems without introducing bugs.
  • Technology Selection: For evaluating whether a specific framework or pattern fits the constraints of a particular domain.

Key capabilities

  • Evaluates trade-offs between design patterns (e.g., Monolithic vs. Microservices).
  • Applies SOLID principles and other industry-standard guidelines to code evaluation.
  • Generates high-level architectural diagrams and documentation based on textual descriptions.
  • Identifies potential scalability bottlenecks and security vulnerabilities in proposed designs.

Example prompts

  • "Analyze this system architecture diagram and suggest improvements based on software design philosophy."
  • "Explain the trade-offs between using a Factory pattern versus a Builder pattern for this specific use case."
  • "Review the following class hierarchy and identify violations of the Single Responsibility Principle."

Tips & gotchas

  • This skill focuses on theoretical frameworks; it may need to be paired with language-specific skills for concrete implementation details.
  • Ensure the AI agent understands the specific constraints of your project (e.g., team size, latency requirements) before applying generic design philosophies, as context heavily influences the optimal choice.