launchdarkly-flag-discovery は何をしますか？
LaunchDarkly のフィーチャーフラグを監査し、全体像を把握、古くなったフラグやリリース済みフラグを発見し、削除の準備状況を評価します。ユーザーがフラグの負債、古いフラグ、クリーンアップ候補、フラグの健全性、またはフラグインベントリについて質問したときに使用します。
LaunchDarkly のフィーチャーフラグを監査し、全体像を把握、古くなったフラグやリリース済みフラグを発見し、削除の準備状況を評価します。ユーザーがフラグの負債、古いフラグ、クリーンアップ候補、フラグの健全性、またはフラグインベントリについて質問したときに使用します。
このスキルは、LaunchDarkly のフィーチャーフラグを体系的に監査するためのツールです。開発チームがフラグの負債（flag debt）を把握し、長期間放置された「スターリングフラグ（stale flags）」や、すでにリリースが完了している「ローンチドフラグ（launched flags）」を特定することで、コードベースのクリーンアップ候補を明確にします。主に Claude Code、Cursor、Codex などの AI エージェントと連携し、LaunchDarkly API を利用してフラグのメタデータ（作成日、最終更新日、有効/無効状態、ターゲットルールなど）を取得します。これにより、ユーザーはフラグの健全性（flag health）を評価し、不要なフラグを安全に削除するための準備が整います。結果はマークダウンテーブルやリストで提示され、各フラグの状態と推奨アクションが明確に示されるため、大規模なプロジェクトでも効率的なフラグ管理が可能になります。
npx skills add https://github.com/launchdarkly/agent-skills/tree/main/skills/launchdarkly-flag-discoveryInstalled? Explore more 生産性＆コラボレーション skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
LaunchDarkly のフィーチャーフラグを監査し、全体像を把握、古くなったフラグやリリース済みフラグを発見し、削除の準備状況を評価します。ユーザーがフラグの負債、古いフラグ、クリーンアップ候補、フラグの健全性、またはフラグインベントリについて質問したときに使用します。
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.
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.
Configure guarded rollouts with progressive traffic increases, metric monitoring, and automatic rollback. Use when releasing features gradually with safety thresholds.
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.