LaunchDarkly
Official@launchdarkly · Oakland, CA
Fast and reliable feature management for the modern enterprise
Agent Skills by LaunchDarkly
Showing 23 vetted skills indexed across 2 GitHub repositories.
launchdarklylaunchdarkly-metric-choose
Inventory LaunchDarkly metrics and validate event health for experiments.
launchdarklylaunchdarkly-metric-create
Configure LaunchDarkly metrics for user-facing events with MCP tools.
launchdarklylaunchdarkly-metric-instrument
Add LaunchDarkly track() calls to instrument metric events in code.
launchdarklyaiconfig-custom-metrics
Manage custom metrics for LaunchDarkly AI Configs via API and SDK.
launchdarklyaiconfig-ai-metrics
Instrument LaunchDarkly AI Config calls to capture duration, tokens, and success/error metrics.
launchdarklyaiconfig-migrate
Plan five-stage migration of hardcoded AI prompts to LaunchDarkly AI Configs.
launchdarklyfirst-flag
Create and toggle a boolean LaunchDarkly flag to verify end-to-end behavior.
launchdarklysdk-install
Orchestrate detect, plan, and apply steps to install and initialize a LaunchDarkly SDK.
launchdarklymcp-configure
Configure the LaunchDarkly hosted MCP server with OAuth authentication.
launchdarklydetect
Detects repository language, framework, package manager, and monorepo layout for LaunchDarkly SDK onboarding planning.
launchdarklyapply
Install LaunchDarkly SDKs and wire initialization code across server and client surfaces.
launchdarklyplan
Generates a two-track LaunchDarkly SDK onboarding plan from the detected project stack.
launchdarklylaunchdarkly-flag-cleanup
Automate safe LaunchDarkly flag removal with MCP checks and PR-ready cleanup plans.
launchdarklylaunchdarkly-flag-create
Create LaunchDarkly flags with safe defaults and matching codebase conventions.
launchdarklylaunchdarkly-flag-targeting
Coordinate LaunchDarkly flag targeting changes across environments with safety checks.
launchdarklylaunchdarkly-flag-discovery
Audit LaunchDarkly feature flags and assess removal readiness across environments.
launchdarklyaiconfig-variations
Design and manage AI Config variation experiments across models, prompts, and parameters.
launchdarklyaiconfig-tools
Create and attach OpenAI function-calling tools to LaunchDarkly AI Config variations.
launchdarklyaiconfig-create
Create LaunchDarkly AI Configs via a two-step API workflow.
launchdarklyaiconfig-targeting
Configure AI Config targeting rules for LaunchDarkly projects.
launchdarklyaiconfig-online-evals
Attach judges to AI Config variations for automated LLM-based evaluation.
launchdarklyaiconfig-update
Update, archive, and delete LaunchDarkly AI Configs with API verification.
launchdarklyaiconfig-projects
Analyze a codebase and create LaunchDarkly projects via API or MCP.
Frequently Asked Questions About LaunchDarkly
FAQPage SchemaWhat specific tasks can be performed using these capabilities?▼
These capabilities enable the creation, targeting, and cleanup of feature flags, alongside the management of experiment variations. Users can instrument code for metric tracking, perform multi-stage migrations of hardcoded prompts to external configurations, and verify end-to-end behavior through systematic flag toggling and event health validation.
Which personas benefit most from these technical capabilities?▼
Software engineers, site reliability engineers, and product developers benefit from these capabilities. They are designed for teams managing complex release cycles, those requiring granular control over production environments, and developers seeking to decouple deployment from release while maintaining strict governance over configuration changes.
What are the prerequisites for initializing these capabilities?▼
Initialization requires a configured environment with OAuth authentication and a repository structure compatible with the supported language frameworks. Users must have an active project context to allow for the detection of package managers and monorepo layouts before the installation and wiring of initialization code can proceed.