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launchdarkly/launchdarkly-metric-choose

Wählen Sie die richtigen Metriken für ein LaunchDarkly-Experiment, einen abgesicherten Rollout oder eine Release-Policy. Nützlich, wenn der Benutzer wissen möchte, welche Metriken verwendet werden sollen, welche die primäre Metrik für ein Experiment ist, welche Schutzmaßnahmen hinzugefügt werden sollen oder welche Ereignisse in einem Rollout überwacht werden sollen.

Was ist launchdarkly-metric-choose?

Dieses Skill hilft Entwicklern und Release-Ingenieuren, die optimalen Metriken für LaunchDarkly-Experimente, abgesicherte Rollouts und Release-Policies auszuwählen. Es analysiert den Kontext des Nutzers – sei es die Bestimmung der primären Metrik, die Festlegung von Schutzmaßnahmen (Guardrails) oder die Identifikation relevanter Ereignisse für die Überwachung. Der Skill zeigt automatisch an, welche Metriken bereits aus bestehenden Release-Policies automatisch angehängt werden, bevor zusätzliche Empfehlungen gegeben werden. Er unterstützt die gängigsten LaunchDarkly-Plattformen und -Workflows und reduziert kognitive Überlastung, indem er sich auf die geschäftskritischsten Metriken konzentriert. Der Skill arbeitet auf Basis der SKILL.md-Dokumentation, die dem KI-Assistenten eine klare Entscheidungslogik und strukturierte Vorschläge vorgibt.

Funktioniert mit~Claude Code~Codex CLI~Cursor

Part ofAgent Workflows

npx skills add https://github.com/launchdarkly/agent-skills/tree/main/skills/launchdarkly-metric-choose

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Dokumentation

Was macht launchdarkly-metric-choose?

Wählen Sie die richtigen Metriken für ein LaunchDarkly-Experiment, einen abgesicherten Rollout oder eine Release-Policy. Verwenden Sie dieses Skill, wenn der Benutzer wissen möchte, welche Metriken verwendet werden sollen, welche die primäre Metrik für ein Experiment ist, welche Schutzmaßnahmen hinzugefügt werden sollen oder welche Ereignisse in einem Rollout überwacht werden sollen. Es zeigt an, was automatisch aus bestehenden Release-Policies angehängt wird, bevor zusätzliche Empfehlungen gegeben werden.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

launchdarkly/aiconfig-agent-graphs

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.

launchdarkly/aiconfig-ai-metrics

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.

launchdarkly/aiconfig-create

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.

launchdarkly/aiconfig-custom-metrics

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.

launchdarkly/aiconfig-migrate

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.

launchdarkly/aiconfig-online-evals

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.

launchdarkly/aiconfig-projects

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.

launchdarkly/aiconfig-snippets

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.

launchdarkly/aiconfig-targeting

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.

launchdarkly/aiconfig-tools

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.

launchdarkly/aiconfig-update

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.

launchdarkly/aiconfig-variations

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.

launchdarkly/apply

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.

launchdarkly/detect

Detect repository stack for LaunchDarkly SDK onboarding: languages, frameworks, package managers, monorepo targets, entrypoints, existing LD usage. Nested under sdk-install; next is plan.

launchdarkly/first-flag

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.

launchdarkly/launchdarkly-experiment-setup

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.

launchdarkly/launchdarkly-flag-cleanup

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.

launchdarkly/launchdarkly-flag-create

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.

launchdarkly/launchdarkly-flag-discovery

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.

launchdarkly/launchdarkly-flag-targeting

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.