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Backend Technologies

Checked
pluginagentmarketplace·vlatest·backend

Identifies suitable backend technologies (languages, frameworks, databases) based on project requirements and constraints.

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 pluginagentmarketplace/custom-plugin-typescript --skill backend-technologies -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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-typescript at 3ed3a92549.

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

Scanned
7 files, 377 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 AI agents to understand and reason about backend technologies. It can identify specific frameworks, languages, and architectural patterns used in software development. The skill facilitates discussions around system design, troubleshooting technical issues, and generating code snippets related to server-side logic.

When to use it

  • Troubleshooting a bug: "Explain why this Node.js application is crashing."
  • Designing a new feature: "What are the pros and cons of using Django vs. Flask for this API?"
  • Code review assistance: “Suggest improvements to this Python/Django code snippet.”
  • Understanding existing systems: "Describe the architecture of this Java-based microservices application."

Key capabilities

  • Framework identification (e.g., Node.js, Django, Flask)
  • Language understanding (e.g., Python, Java, Go)
  • Architectural pattern recognition (e.g., Microservices, REST APIs)
  • Code snippet generation and explanation

Example prompts

  • "What are the key differences between Express.js and Koa?"
  • "Explain how authentication works in a Spring Boot application."
  • “Generate a simple API endpoint using Python and Flask.”

Tips & gotchas

The skill's effectiveness depends on providing sufficient context about the backend technologies involved. Vague prompts may yield generic responses; be specific with frameworks, languages, or architectural details for more targeted results.