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Agent Skill · 待分类

launchdarkly-flag-targeting(启动暗旗定位)

launchdarkly-flag-targeting 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

launchdarkly-flag-targeting 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 715。

总安装 8,949周安装 362GitHub Stars 7下载 2,809核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:launchdarkly-flag-targeting(启动暗旗定位)
来源仓库:https://github.com/launchdarkly/agent-skills
仓库路径:skills/launchdarkly-flag-targeting
安装命令:
npx skills add https://github.com/launchdarkly/agent-skills --skill launchdarkly-flag-targeting
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/launchdarkly/agent-skills --skill launchdarkly-flag-targeting

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

launchdarkly-flag-targeting 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态或协作事项进行整理时使用。适用于用户分群、实验分组和定向发布等功能配置场景。

通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/launchdarkly-flag-targeting

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/launchdarkly/agent-skills --skill launchdarkly…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

launchdarkly-flag-targeting 怎么安装?

在终端执行 npx skills add https://github.com/launchdarkly/agent-skills --skill launchdarkly-flag-targ…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

launchdarkly-flag-targeting 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

launchdarkly-flag-targeting 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

launchdarkly-flag-targeting 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

launchdarkly-flag-targeting 用的人多吗?

公开数据是累计安装 8,949 次,近一周安装 362 次,下载 2,809 次,GitHub 7 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

launchdarkly-flag-targeting 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
launchdarkly-flag-targeting

启动暗旗定位 · 本页

8,9497调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

LaunchDarkly Flag Targeting & Rollout

You're using a skill that will guide you through changing who sees what for a feature flag. Your job is to understand the current state of the flag, figure out the right targeting approach for what the user wants, make the changes safely, and verify the resulting state.

Prerequisites

This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.

Required MCP tools:

  • get-flag: understand current state before making changes
  • toggle-flag: turn targeting on or off for a flag in an environment
  • update-rollout: change the default rule (fallthrough) variation or percentage rollout
  • update-targeting-rules: add, remove, or modify custom targeting rules
  • update-individual-targets: add or remove specific users/contexts from individual targeting

Optional MCP tools:

  • copy-flag-config: copy targeting configuration from one environment to another
  • create-approval-request: create an approval request when direct changes are blocked
  • list-approval-requests: check on pending approval requests for a flag
  • apply-approval-request: apply an already-approved approval request

Core Concept: Evaluation Order

Before making any targeting changes, understand how LaunchDarkly evaluates flags. This determines what your changes actually do:

  1. Flag is OFF -> Serve the offVariation to everyone. Nothing else matters.
  2. Individual targets -> If the context matches a specific target list, serve that variation. Highest priority.
  3. Custom rules -> Evaluate rules top-to-bottom. First matching rule wins.
  4. Default rule (fallthrough) -> If nothing else matched, serve this variation or rollout.

This means: if you add a targeting rule but the flag is OFF, nobody sees the change. If you set a percentage rollout on the default rule but there's an individual target, that targeted user bypasses the rollout.

Workflow

Step 1: Understand Current State

Before changing anything, check what's already configured.

  1. Confirm the environment. "Turn it on" without specifying an environment is ambiguous. Always confirm which environment the user means. Default to asking rather than assuming.
  2. Fetch the flag. Use get-flag with the target environment to see:

- on: Is targeting currently enabled? - fallthrough: What's the default rule? (variation or percentage rollout) - offVariation: What serves when the flag is off? - rules: Any custom targeting rules? - targets: Any individually targeted users/contexts? - prerequisites: Any flags this depends on?

  1. Assess complexity. A flag with no rules and no individual targets is simple. A flag with multiple rules, targets, and prerequisites needs more care.

Step 2: Determine the Right Approach

Based on what the user wants and what you found, choose the right tool and strategy. See Targeting Patterns for the full reference.

Common scenarios:

User wantsToolNotes
"Turn it on"toggle-flag with on: trueSimplest change
"Turn it off"toggle-flag with on: falseServes offVariation to everyone
"Roll out to X%"update-rollout with rolloutType: "percentage"Weights must sum to 100
"Enable for beta users"update-targeting-rules: add a rule with clauseRules are ANDed within, ORed between
"Add specific users"update-individual-targetsHighest priority, overrides all rules
"Full rollout"update-rollout with rolloutType: "variation"Serve one variation to everyone
"Copy from staging"copy-flag-configPromote tested config to production

Step 3: Run the Safety Checklist

Before applying changes, especially in production, run through the Safety Checklist. The key checks:

  1. Right environment? Double-check you're targeting the intended environment.
  2. Approval required? Some environments require approval workflows. If any mutation tool returns requiresApproval: true:

- Inform the user that this environment requires approvals. - Share the approvalUrl if provided. - Offer to create an approval request using create-approval-request with the same instructions (returned in the instructions field of the response). - Do NOT attempt to bypass approval or auto-approve. - See Approval Workflows for the full process.

  1. Prerequisite flags? If this flag has prerequisites, they must be met before targeting works as expected.
  2. Rule ordering impact? If adding rules, consider where they fall in evaluation order. Rules evaluate top-to-bottom, first match wins.
  3. Include a comment. Always add an audit trail comment, especially for production changes.

Step 4: Apply Changes

Use the appropriate tool for the change. Key notes:

  • toggle-flag: Specify on: true or on: false, the env, and a comment.
  • update-rollout: Use rolloutType: "percentage" with human-friendly weights (e.g., 80 for 80%) that sum to 100, or rolloutType: "variation" with a variationIndex.
  • update-targeting-rules: Instructions support addRule, removeRule, updateRuleVariationOrRollout, addClauses, removeClauses, reorderRules.
  • update-individual-targets: Instructions support addTargets, removeTargets, addContextTargets, removeContextTargets, replaceTargets.

See Targeting Patterns for detailed instruction examples.

Step 5: Verify

After applying changes, confirm the result:

  1. Fetch the updated flag. Use get-flag again to verify the new state.
  2. Confirm what the user expects. Describe the resulting targeting in plain language:

- "The flag is now ON in production, serving true to 25% of users and false to 75%." - "Beta users now see variation A. Everyone else gets the default (variation B)."

  1. Check for side effects. If there are rules or individual targets, make sure the change interacts correctly with them.

Handling Approval-Required Environments

When any mutation tool returns requiresApproval: true, the direct change was blocked because the environment requires approvals. Follow the Approval Workflows reference to:

  1. Create an approval request with create-approval-request using the instructions from the blocked response
  2. Inform the user about the pending approval and share the approval request details
  3. Check on approval status later with list-approval-requests if requested
  4. Apply the request with apply-approval-request once a reviewer has approved it (reviewStatus is "approved")
  5. Verify the result with get-flag after applying

Important Context

  • update-rollout uses human-friendly percentages. Pass 80 for 80%, not 80000. The tool handles the internal weight conversion.
  • Weights must sum to 100. For percentage rollouts, the weights across all variations must total exactly 100.
  • Rule ordering matters. Rules evaluate top-to-bottom. Reordering rules can change behavior without changing any individual rule.
  • Individual targets are highest priority. They override all rules and the default. Adding someone as an individual target means rules don't apply to them.
  • "Launched" flags are still ON. A flag with status "launched" is serving a single variation to everyone. If you want to remove the flag, use the cleanup skill, not targeting changes.

References

  • Targeting Patterns: Rollout strategies, rule construction, individual targeting, and cross-environment copying
  • Safety Checklist: Pre-change verification, approval workflows, environment awareness
  • Approval Workflows: Creating, checking, and applying approval requests

平台分布

Codex

38.99%
按下载量换算1,095

Claude

29.23%
按下载量换算821

Cursor

19.6%
按下载量换算551

Gemini CLI

9.82%
按下载量换算276

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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