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Config Generate

Checked
manastalukdar·vlatest·ai-ml·MIT

Automatically generates configuration files based on user prompts and desired system behavior.

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 manastalukdar/ai-devstudio --skill config-generate -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

manastalukdar

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 manastalukdar/claude-devstudio at e457c1d3b5.

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

Scanned
1 file, 30 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 config-generate skill allows AI agents to generate configuration files based on user prompts. It can create configurations for various systems and applications, automating a tedious task. The generated configurations are intended to be directly usable after review and minor adjustments if needed.

When to use it

  • Setting up new development environments: Quickly generate initial configuration files for projects with specific technology stacks.
  • Automating server provisioning: Create configuration files for deploying applications on cloud platforms or virtual machines.
  • Standardizing application deployments: Ensure consistent configurations across multiple instances of an application.
  • Creating boilerplate code: Generate basic configuration structures to serve as a starting point for more complex setups.

Key capabilities

  • Configuration file generation
  • Support for various systems and applications (specifics not detailed)
  • Automated configuration creation

Example prompts

  • "Generate a Docker Compose file for a Node.js application with a PostgreSQL database."
  • "Create an Apache web server configuration file for hosting a static website."
  • “Give me a Kubernetes deployment YAML file for a simple Python Flask app.”

Tips & gotchas

The generated configurations may require adjustments based on specific project requirements or environment details. Always review the output carefully before deploying to production environments.