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Engineering Terminology

Checked
shino369·vlatest·writing·ISC

Defines and explains complex engineering terms, boosting understanding for technical discussions and documentation clarity.

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 shino369/claude-code-personal-workspace --skill engineering-terminology -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

shino369

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 shino369/claude-code-personal-workspace at 0ba17514e9.

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

Commit
0ba17514e9
Manifest
.claude/skills/engineering-terminology/SKILL.md
Scanned
7 files, 1,815 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 allows an AI agent to understand and explain engineering terminology. It can translate technical jargon into plain language, define specific terms within a given context, and provide explanations suitable for different audiences (e.g., non-technical stakeholders). The skill aims to bridge the communication gap between engineers and those less familiar with technical concepts.

When to use it

  • Explaining project proposals: Use it when presenting engineering plans to clients or management who may not have a strong technical background.
  • Generating documentation: Employ this skill to create clear and concise user manuals or training materials for products involving complex engineering principles.
  • Summarizing research papers: Leverage the skill to distill key findings from technical publications into easily digestible summaries.
  • Troubleshooting communication breakdowns: Utilize it when encountering misunderstandings due to differing levels of technical expertise within a team.

Key capabilities

  • Term definition and explanation
  • Jargon translation to plain language
  • Contextual understanding of terminology
  • Audience-appropriate explanations

Example prompts

  • "Explain 'finite element analysis' in simple terms."
  • "What does 'API endpoint' mean in the context of this software project?"
  • "Can you define 'blockchain technology' for a non-technical audience?"

Tips & gotchas

The skill’s effectiveness depends on providing sufficient context. Vague requests may yield generic or less helpful responses; be specific about the domain or application when requesting definitions.