launchdarkly/agent-skills

Part of LaunchDarkly's official agent skills collection encoding repeatable workflows for feature flags, AI configs, and onboarding, enabling coding agents to execute LaunchDarkly tasks safely and consistently.

A skill for auditing LaunchDarkly feature flags to find stale or launched flags and assess removal readiness, part of LaunchDarkly's public agent skills collection.

Safely removes feature flags from code using LaunchDarkly as the authoritative source for determining when and how to clean up flags.

LaunchDarkly's public collection of AI agent skills and playbooks that encode repeatable workflows for working with LaunchDarkly feature flags safely and consistently.

Part of the LaunchDarkly Agent Skills collection, providing repeatable workflows for LaunchDarkly flag targeting configuration so coding agents can execute feature flag tasks safely and consistently.

LaunchDarkly's public collection of AI agent skills and playbooks that encode repeatable workflows for working with LaunchDarkly feature flags, so coding agents can execute common tasks safely and consistently.

A skill for working with LaunchDarkly AI configuration projects, part of LaunchDarkly's public collection of agent skills that encode repeatable workflows for working with LaunchDarkly feature flags and experimentation safely and consistently.

A LaunchDarkly agent skill that encodes repeatable workflows for creating AI configurations, enabling coding agents to execute common LaunchDarkly tasks safely and consistently following the Agent Skills Open Standard.

LaunchDarkly's official agent skills for AI config update workflows, encoding repeatable playbooks for working with LaunchDarkly feature flags so coding agents can execute common tasks safely and consistently.

A LaunchDarkly agent skill for managing AI configuration variations with feature flags, enabling coding agents to safely handle AI config workflows.

Part of LaunchDarkly's public collection of agent skills encoding repeatable workflows for feature flag management, AI Config creation and A/B variation testing, metrics, and experimentation — enabling coding agents to interact with LaunchDarkly safely and consistently.

An official LaunchDarkly agent skill for creating metrics, part of a collection of modular playbooks that teach AI agents repeatable workflows for feature flag management, AI configs, and experimentation.

An official LaunchDarkly agent skill for instrumenting metrics, part of a collection of modular playbooks that teach AI agents repeatable workflows for working with LaunchDarkly feature flags and AI configs.

LaunchDarkly AI Config online evaluations skill that teaches AI agents to set up and manage online evaluation pipelines for monitoring AI model performance through LaunchDarkly.

LaunchDarkly AI Config targeting skill that teaches AI agents to manage AI model configurations, set up targeting rules, and control model rollouts through LaunchDarkly feature management.

Part of the LaunchDarkly agent skills collection, this skill migrates applications with hardcoded LLM prompts to LaunchDarkly AI Configs through a five-stage workflow: extract, wrap, tools, tracking, and evals.

Part of the LaunchDarkly agent skills collection, this skill helps select the right metric type for experiments and create metrics with proper tracking event instrumentation for LaunchDarkly's experimentation platform.

Part of the LaunchDarkly agent skills collection, this skill guides agents through creating custom metrics with tracking events and instrumenting code to measure experiment outcomes in LaunchDarkly.

LaunchDarkly onboarding skill that applies the correct SDK configuration to your codebase, working as part of the detect-plan-apply installation workflow.

LaunchDarkly onboarding skill that walks through creating a boolean feature flag, evaluating it in code, and toggling it on/off for end-to-end verification.

Configures the LaunchDarkly hosted MCP server with OAuth authentication, enabling AI agents to read and modify feature flags without API keys.

Part of LaunchDarkly's agent skills collection, this skill provides planning workflows for feature flag management, AI config operations, and metrics instrumentation. The collection encodes repeatable workflows so coding agents can safely create, target, and clean up feature flags using LaunchDarkly.

Part of LaunchDarkly's agent skills collection, this onboarding skill guides agents through installing and initializing the correct LaunchDarkly SDK via detect, plan, and apply sub-steps, as part of the end-to-end LaunchDarkly setup workflow.

LaunchDarkly onboarding skill that detects the appropriate SDK and language for your project, the first step in the detect-plan-apply SDK installation workflow.

LaunchDarkly Experiments skill for setting up A/B tests with metrics, treatments, and data collection, enabling measurement-driven feature rollouts through LaunchDarkly's experimentation platform.

LaunchDarkly feature flags skill for configuring guarded rollouts with progressive traffic ramp-up, metric monitoring for regressions, and automatic rollback capabilities to safely release features to production.

LaunchDarkly AI Configs skill for creating and managing reusable prompt snippets that can be shared across multiple AI Configs, enabling consistent prompt components and reducing duplication in LLM configurations.

LaunchDarkly AI Configs skill for creating and managing multi-agent graphs with routing and handoffs, enabling orchestration of multiple AI agents through LaunchDarkly's feature management platform.

A LaunchDarkly AgentControl skill that creates and attaches tools for function calling, letting you extend agent capabilities with custom tool integrations.

A LaunchDarkly skill that helps select and configure built-in metrics for experiments, enabling measurement of feature flag impact with pre-defined metric types.

A LaunchDarkly AgentControl skill that creates and manages multi-agent graphs with routing and handoffs, enabling orchestration of complex multi-agent workflows.

A LaunchDarkly AgentControl skill that creates and manages reusable prompt snippets across configs, enabling consistent prompt components to be shared between different configurations.

A LaunchDarkly AgentControl skill that creates configs with variations for agent or completion mode, providing the foundation for managing LLM prompt configurations.

A LaunchDarkly AgentControl skill that manages config variations for A/B testing, enabling experimentation with different prompt configurations to optimize LLM performance.

A LaunchDarkly AgentControl skill that configures targeting rules for config rollouts, enabling precise control over which users or segments receive specific configurations.

A LaunchDarkly AgentControl skill that attaches LLM-as-a-judge evaluators to configs, enabling automated quality assessment of LLM outputs in production.

A LaunchDarkly AgentControl skill that creates and manages projects to organize configs, providing a structured way to group and manage related LLM configurations.

A LaunchDarkly skill that creates custom metrics and instruments tracking events for experiments, enabling tailored measurement of feature flag impact beyond built-in metric types.

A LaunchDarkly AgentControl skill that updates and deletes configs and manages their lifecycle, providing full CRUD control over LLM prompt configurations.

A LaunchDarkly AgentControl skill that migrates apps with hardcoded LLM prompts to AgentControl through five stages: extract, wrap, tools, tracking, and evals.

A collection of LaunchDarkly agent skills for managing feature flags, experiments, metrics, and AgentControl configs, enabling coding agents to safely execute common LaunchDarkly workflows like flag lookup, creation, targeting, cleanup, and guarded rollouts.

LaunchDarkly's official skill for creating new skills, part of a public collection of AI agent skills and playbooks that encode repeatable workflows aligned with the emerging Agent Skills Open Standard.