launchdarkly-metric-create은(는) 무엇을 하나요?
실험이나 롤아웃에 중요한 LaunchDarkly 메트릭을 생성합니다. 사용자가 메트릭 생성, 이벤트 추적, 페이지 조회수, 버튼 클릭, 전환율, 지연 시간, 오류율 또는 기타 사용자 정의 숫자/이진 결과를 측정하려는 경우에 사용합니다. 먼저 이벤트를 계측(SDK 설정 및 .env 포함)한 후 메트릭을 생성하고 검증합니다.
실험이나 롤아웃에 중요한 LaunchDarkly 메트릭을 생성합니다. 사용자가 메트릭 생성, 이벤트 추적, 페이지 조회수, 버튼 클릭, 전환율, 지연 시간, 오류율 또는 기타 사용자 정의 숫자/이진 결과를 측정하려는 경우에 사용합니다. 먼저 이벤트를 계측(SDK 설정 및 .env 포함)한 후 메트릭을 생성하고 검증합니다.
이 스킬은 LaunchDarkly 플랫폼에서 실험이나 점진적 롤아웃의 성공을 측정하는 데 필요한 사용자 정의 메트릭을 생성하는 전문 도구입니다. 개발자가 페이지 조회수, 버튼 클릭, 전환율, 지연 시간, 오류율 등과 같은 특정 비즈니스 이벤트를 추적하려는 경우, 이 스킬은 먼저 애플리케이션 코드에 해당 이벤트를 계측합니다. 이 과정에는 LaunchDarkly SDK 설정 및 필요한 환경 변수(.env) 구성이 포함됩니다. 이벤트 계측이 완료되면, 스킬은 LaunchDarkly 대시보드에서 메트릭을 생성하고 정상적으로 생성되었는지 확인합니다. 이 스킬은 Claude Code, Cursor와 같은 AI 에이전트와 함께 사용하도록 설계되었으며, 수동 설정 작업을 자동화하여 개발자가 실험 설정에 더 집중할 수 있도록 합니다.
npx skills add https://github.com/launchdarkly/agent-skills/tree/main/skills/launchdarkly-metric-createInstalled? Explore more 생산성 & 협업 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
실험이나 롤아웃에 중요한 LaunchDarkly 메트릭을 생성합니다. 사용자가 메트릭 생성, 이벤트 추적, 페이지 조회수, 버튼 클릭, 전환율, 지연 시간, 오류율 또는 기타 사용자 정의 숫자/이진 결과를 측정하려는 경우에 사용합니다. 먼저 이벤트를 계측(SDK 설정 및 .env 포함)한 후 메트릭을 생성하고 검증합니다.
This repo contains 20 individual skills — each has its own dedicated page.
DEPRECATED redirect — this skill was renamed to agent-graphs. Do not use this skill; invoke agent-graphs instead. Kept only so old references to aiconfig-agent-graphs still point users to the new name.
DEPRECATED redirect — this skill was renamed to built-in-metrics. Do not use this skill; invoke built-in-metrics instead. Kept only so old references to aiconfig-ai-metrics still point users to the new name.
DEPRECATED redirect — this skill was renamed to configs-create. Do not use this skill; invoke configs-create instead. Kept only so old references to aiconfig-create still point users to the new name.
DEPRECATED redirect — this skill was renamed to custom-metrics. Do not use this skill; invoke custom-metrics instead. Kept only so old references to aiconfig-custom-metrics still point users to the new name.
DEPRECATED redirect — this skill was renamed to migrate. Do not use this skill; invoke migrate instead. Kept only so old references to aiconfig-migrate still point users to the new name.
DEPRECATED redirect — this skill was renamed to online-evals. Do not use this skill; invoke online-evals instead. Kept only so old references to aiconfig-online-evals still point users to the new name.
DEPRECATED redirect — this skill was renamed to projects. Do not use this skill; invoke projects instead. Kept only so old references to aiconfig-projects still point users to the new name.
DEPRECATED redirect — this skill was renamed to snippets. Do not use this skill; invoke snippets instead. Kept only so old references to aiconfig-snippets still point users to the new name.
DEPRECATED redirect — this skill was renamed to configs-targeting. Do not use this skill; invoke configs-targeting instead. Kept only so old references to aiconfig-targeting still point users to the new name.
DEPRECATED redirect — this skill was renamed to tools. Do not use this skill; invoke tools instead. Kept only so old references to aiconfig-tools still point users to the new name.
DEPRECATED redirect — this skill was renamed to configs-update. Do not use this skill; invoke configs-update instead. Kept only so old references to aiconfig-update still point users to the new name.
DEPRECATED redirect — this skill was renamed to configs-variations. Do not use this skill; invoke configs-variations instead. Kept only so old references to aiconfig-variations still point users to the new name.
Apply LaunchDarkly SDK onboarding: install dependency (or dual-SDK pair), configure env and secrets with consent, add init at entrypoint(s), verify compile. Nested under sdk-install; next is run.
Detect repository stack for LaunchDarkly SDK onboarding: languages, frameworks, package managers, monorepo targets, entrypoints, existing LD usage. Nested under sdk-install; next is plan.
Create a boolean first flag, add evaluation, toggle on/off for end-to-end proof. Parent onboarding Step 6; uses MCP, API, or ldcli; optional flag-create skill.
Set up and run experiments in LaunchDarkly. Create experiments with metrics, treatments, and flag config, start iterations to collect data, swap design between iterations, and stop with a winner.
Safely remove a feature flag from code while preserving production behavior. Use when the user wants to remove a flag from code, delete flag references, or create a PR that hardcodes the winning variation after a rollout is complete.
Create and configure LaunchDarkly feature flags in a way that fits the existing codebase. Use when the user wants to create a new flag, wrap code in a flag, add a feature toggle, or set up an experiment. Guides exploration of existing patterns before creating.
Audit your LaunchDarkly feature flags to understand the landscape, find stale or launched flags, and assess removal readiness. Use when the user asks about flag debt, stale flags, cleanup candidates, flag health, or wants to understand their flag inventory.
Control LaunchDarkly feature flag targeting including toggling flags on/off, percentage rollouts, targeting rules, individual targets, and copying flag configurations between environments. Use when the user wants to change who sees a flag, roll out to a percentage, add targeting rules, or promote config between environments.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.