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Workflow Local Dev

Checked
lgariv-dn·vlatest·backend

Automates local development workflows, streamlining setup, testing, and deployment based on project configurations.

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 lgariv-dn/frontend-skills --skill workflow-local-dev -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

lgariv-dn

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 lgariv-dn/frontend-skills at e1bff232d1.

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

Commit
e1bff232d1
Manifest
skills/workflow-local-dev/SKILL.md
Scanned
6 files, 440 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

The workflow-local-dev skill enables AI agents to set up and manage local development environments. It automates tasks like installing dependencies, configuring tools, and running build processes specific to frontend projects. This allows for rapid prototyping and testing without relying on external services or complex deployments.

When to use it

  • Rapid Prototyping: Quickly spin up a development environment to test new ideas or features.
  • Offline Development: Work on projects even when an internet connection is unavailable.
  • Reproducible Environments: Ensure consistent build and testing environments across different machines.
  • Local Debugging: Facilitate easier debugging of frontend code by running it locally.

Key capabilities

  • Automated dependency installation (e.g., npm, yarn)
  • Configuration of development tools (e.g., linters, formatters)
  • Running build processes for frontend projects
  • Local environment setup

Example prompts

  • "Set up a local development environment for my React project."
  • "Install the dependencies and run the build process for this Vue application."
  • "Configure ESLint and Prettier in my local development environment."

Tips & gotchas

The skill requires access to the project's codebase or configuration files. Ensure the AI agent has the necessary permissions to install packages and modify project settings within the designated directory.