Configs Update

This handles the lifecycle of LaunchDarkly AI configs: updating properties, changing model parameters, archiving what you don't need, and deleting when you really mean it. The workflow is deliberately cautious. You check health first, make incremental changes, then verify with a follow-up fetch. It defaults to archiving over deletion, which is smart since archiving is reversible and deletion isn't. Worth noting that it won't retry updates based on API responses alone, it always verifies by fetching the config again. If you're managing multiple variations or tuning prompts across environments, this gives you the guardrails to avoid breaking production configs while you experiment.

skills.sh installs: 1.3K
GitHub stars: 19
last updated: Jul 14, 2026

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Install

$ npx -y skills add launchdarkly/agent-skills --skill configs-update --agent claude-code

Installs into .claude/skills of the current project.

Files

Config Update & Lifecycle

You're using a skill that will guide you through updating, retiring, and deleting configs and their variations. Your job is to understand the current state of the config, make the changes, and verify the result.

Prerequisites

This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.

Required MCP tools:

get-agent-configs with configKey -- understand current state before making changes; add section: "health" to assess config health (detects missing models, orphaned tools, empty configs)
update-agent-config with resource: "config" -- update config metadata (name, description, tags, default variation, maintainer)
update-agent-config with resource: "variation" -- update variation model, prompts, or parameters
update-agent-config with resource: "targeting" -- turn a config's targeting off in an environment to take it out of service

Optional MCP tools:

delete-agent-config with resource: "config" -- permanently delete a config (irreversible)
delete-agent-config with resource: "variation" -- permanently delete a variation (irreversible)