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cs-notification-strategycs 通知策略

Agent Skill

cs-notification-strategy 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。

总安装

367

周安装

15

GitHub Stars

125

下载量

119
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:cs-notification-strategy(cs 通知策略)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/cs-notification-strategy
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill cs-notification-strategy
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/asgard-ai-platform/skills --skill cs-notification-strategy

简介

cs-notification-strategy 提供通知策略框架,强调每条通知必须为用户带来明确价值。

  • 基于 IRON LAW:每条通知都应被用户感谢,否则会侵蚀信任并导致退订。
  • 对比 Push、Email、SMS 三渠道:Push 打开率 5-15%,Email 15-25%,SMS 高达 90%。
  • 适用于时间敏感提醒、操作引导与关键事件通知,避免非必要打扰。
  • 需评估接收者角色与紧急程度,合理分配至 L1/L2/L3 支持层级处理。

SKILL.md

Notification Strategy

Framework

IRON LAW: Every Notification Must Earn Its Send

Each notification interrupts the user. If it doesn't deliver clear value
to the RECIPIENT (not to your business), it erodes trust and drives
opt-outs. Before sending: "Would the user thank me for this notification?"
If no → don't send.

Channel Comparison

ChannelOpen RateSpeedCostBest ForLimitations
Push notification5-15%InstantFreeTime-sensitive, action-neededEasy to opt out, limited text
Email15-25%MinutesLowDetailed content, receipts, newslettersSpam filters, slow
SMS90%+ openInstant$$$Critical alerts, OTP, urgentExpensive, intrusive, regulatory
In-app25-40%Next sessionFreeFeature announcements, tipsOnly reaches active users
LINE/Messenger40-60%InstantFree-$Conversational, Taiwan/AsiaPlatform dependency

Timing Optimization

AudienceBest TimeWorst Time
B2C general10-12 AM, 7-9 PM12-6 AM, during commute
B2BTue-Thu 9-11 AMWeekends, Friday PM
E-commerceThu-Sat (pre-weekend shopping)Monday AM
Breaking/urgentImmediatelyN/A

Timezone rule: Send in the RECIPIENT's timezone, not yours.

Personalization Tiers

TierWhatExampleLift vs Generic
NoneSame message to all"Check out our sale!"Baseline
SegmentBy user group"As a premium member, you get early access"+20-30%
BehavioralBased on past actions"The item in your cart is almost sold out"+40-60%
Individual1:1 personalized"Hi [Name], your favorite [Product] is back in stock"+60-80%

Fatigue Management

SignalWhat It MeansAction
Open rate decliningContent losing relevanceImprove targeting/content
Opt-out rate > 0.5%/sendSending too much or wrong contentReduce frequency, segment better
Uninstall spike after pushNotifications are driving users awayImmediately reduce volume
Click rate declining but open rate stableSubject lines good, content disappointingImprove content/offer quality

Frequency caps: Set maximum notifications per user per time period:

  • Push: max 3-5/week
  • Email: max 2-3/week (marketing), unlimited for transactional
  • SMS: max 2-4/month

A/B Testing for Notifications

ElementWhat to TestExample
Subject/titleLength, tone, emoji, personalization"Your order shipped 📦" vs "Order #1234 is on its way"
TimingHour of day, day of week10 AM vs 7 PM
ContentShort vs detailed, image vs text-only20 words vs 50 words
CTAButton text, action type"View" vs "Track Now"
ChannelPush vs email vs in-app for same messageSame content, different channel

Output Format

# Notification Strategy: {Product/Campaign}

## Channel Mix
| Message Type | Primary Channel | Fallback | Frequency |
|-------------|----------------|----------|-----------|
| {type} | {channel} | {backup} | {max/period} |

## Segmentation
| Segment | Notification | Personalization Tier |
|---------|-------------|---------------------|
| {segment} | {content} | None/Segment/Behavioral/Individual |

## Timing
| Segment | Send Time | Day | Timezone |
|---------|----------|-----|---------|
| {segment} | {HH:MM} | {day(s)} | {user's TZ} |

## Fatigue Rules
- Max push: {N}/week
- Max email: {N}/week
- Opt-out threshold: {%} → action: {reduce/pause}

## A/B Test Plan
| Test | Variant A | Variant B | Metric | Sample |
|------|----------|----------|--------|--------|
| {test} | {A} | {B} | {open rate / CTR} | {N users} |

Gotchas

  • Permission is a privilege: iOS requires explicit opt-in for push. Ask at the RIGHT moment (after the user sees value), not at first launch. First-launch permission requests get 40-60% opt-in; contextual requests get 70-80%.
  • Transactional vs marketing: Order confirmations, shipping updates, and security alerts are transactional (expected, high open rate). Marketing promotions are interruptive (optional, lower open rate). Never mix them in user perception.
  • LINE in Taiwan is unique: LINE has 95% penetration in Taiwan. LINE Official Account messages have 60%+ open rates — significantly higher than email or push. Prioritize LINE for Taiwan audiences.
  • Rich push is underused: Push notifications can include images, action buttons, and deep links. A rich push with "View Order" button converts 3-5x better than a text-only push.

References

  • For LINE notification setup, see references/line-notification.md
  • For email deliverability optimization, see references/email-deliverability.md

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.19%
按下载量换算43

Claude

29.78%
按下载量换算35

Cursor

18.32%
按下载量换算22

Gemini CLI

7.99%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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