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Modular Code

Checked
parcadei·vlatest·other·MIT

Generates reusable code snippets in various languages based on your prompt – streamlining development and boosting productivity.

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 parcadei/continuous-claude-v3 --skill modular-code -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

parcadei

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 parcadei/continuous-claude-v3 at d07ff4b06b.

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

Commit
d07ff4b06b
Manifest
.claude/skills/modular-code/SKILL.md
Scanned
1 file, 86 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 break down complex tasks into smaller, more manageable modules. It facilitates organizing code and logic into reusable components, improving efficiency and maintainability. The skill enables agents to structure their workflows in a way that promotes clarity and reduces redundancy.

When to use it

  • Large projects: When dealing with extensive coding or automation tasks, break them down into smaller, modular units.
  • Reusable code blocks: Identify frequently used logic and encapsulate it within modules for easy reuse across different parts of a project.
  • Complex workflows: Organize intricate processes by dividing them into distinct, self-contained modules that can be executed sequentially or in parallel.
  • Team collaboration: Facilitate collaborative development by allowing multiple developers to work on separate modules concurrently.

Key capabilities

  • Code modularization
  • Reusable component creation
  • Workflow structuring
  • Logic encapsulation

Example prompts

  • "Create a module for handling user authentication."
  • "Organize this code into reusable functions and modules."
  • "Break down the data processing pipeline into distinct, modular steps."

Tips & gotchas

The skill's effectiveness depends on clear task definition; poorly defined tasks will result in less useful modules. Consider defining module interfaces to ensure proper interaction between different components.