aiconfig-update

Manage LaunchDarkly AI Configs via PATCH, archive, and delete operations.

Updated Feb 4, 2026
One-click install
npx skills add https://github.com/launchdarkly-labs/aiconfigs-skills --skill aiconfig-update
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aiconfig-update
Source: https://github.com/launchdarkly-labs/aiconfigs-skills/tree/main/aiconfig-update
Command: npx skills add https://github.com/launchdarkly-labs/aiconfigs-skills --skill aiconfig-update

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill simplifies lifecycle management of LaunchDarkly AI Configs by providing ready-to-use patterns for updating properties, archiving, and deleting configs.

Core Features & Use Cases

  • Update AI Config properties (name, description, and other fields) via PATCH requests.
  • Archive and unarchive AI Configs to control visibility without data loss.
  • Delete AI Configs with safety checks and optional batch operations.

Quick Start

Activate the aiconfig-update skill and run a simple update to a config, then archive and, if needed, delete it. Use the provided Python examples in the SKILL.md as a guide to interact with the LaunchDarkly API.

Frequently Asked Questions about aiconfig-update

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I update AI Config properties like name and description in LaunchDarkly?

Update AI Config properties by sending PATCH requests to the LaunchDarkly API with the fields you want to modify—name, description, tags, and other metadata. The skill automates this workflow with ready-to-use patterns and error handling built in.

Can I archive AI Configs without deleting them?

Yes, archiving temporarily disables AI Configs and hides them from view while preserving all data. Use the archive feature when you need to retire a config but may need to restore it later without data loss.

What's the safe way to delete AI Configs?

Delete AI Configs through the LaunchDarkly API with built-in safety checks and optional batch operations. The skill handles deletion workflows that prevent accidental data loss and manage dependencies across projects.

How do I manage the lifecycle of multiple AI Configs at scale?

Automate lifecycle management of AI Configs by applying patch-based updates, archiving, and deletion across projects via the LaunchDarkly API. The skill supports batch operations and error handling for managing configs at scale.

Do I need API credentials to update and delete AI Configs?

Yes, you need LaunchDarkly API access credentials to interact with AI Configs. The skill requires authentication to modify configs, archive them, or perform deletions through the API.

What fields can I modify when updating an AI Config?

Update core AI Config properties including name, description, archived status, and tags via PATCH requests. The skill provides patterns for modifying these fields while maintaining data integrity and validation.