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Aiconfig Create

Official
launchdarkly·vlatest·cloud

Dynamically create LaunchDarkly feature flags via API using this AI agent skill for automated experimentation.

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 launchdarkly/ai-tooling --skill aiconfig-create -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

launchdarkly

Matched to the vendor's own GitHub organisation.

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 launchdarkly/agent-skills at ef549715fe.

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

Commit
ef549715fe
Manifest
skills/agentcontrol/aiconfig-create/SKILL.md
Scanned
1 file, 16 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 aiconfig-create skill allows AI agents to generate configuration files. It automates the creation of these files, reducing manual effort and potential errors in setting up various systems or applications. This skill is particularly useful when dealing with complex configurations that require precise formatting and numerous parameters.

When to use it

  • Automated Software Deployment: Generate deployment configuration files for new software releases.
  • Infrastructure Provisioning: Create infrastructure-as-code (IaC) templates like Terraform or CloudFormation.
  • Application Setup: Automatically generate configuration files for applications, streamlining the setup process.
  • Environment Configuration: Quickly create configurations for different environments (development, staging, production).

Key capabilities

  • Configuration file generation
  • Automated parameter setting
  • Support for various configuration formats (implied)

Example prompts

  • "Create a Terraform configuration file to deploy a simple web application on AWS."
  • "Generate a CloudFormation template for an S3 bucket with specific access policies."
  • “Write a config.yml file for my Python application, including database connection details and API keys.”

Tips & gotchas

The quality of the generated configuration depends heavily on the clarity and specificity of your prompts. Providing detailed requirements and desired parameters will yield better results.