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self-initiated-triggers自启动触发器

Agent Skill

self-initiated-triggers 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

424

周安装

17

GitHub Stars

235

下载量

137
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:self-initiated-triggers(自启动触发器)
来源仓库:https://github.com/flpbalada/my-opencode-config
仓库路径:skills/self-initiated-triggers
安装命令:
npx skills add https://github.com/flpbalada/my-opencode-config --skill self-initiated-triggers
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/flpbalada/my-opencode-config --skill self-initiated-triggers

简介

self-initiated-triggers 用于查找、检索和筛选相关信息,支持快速定位候选结果。

  • 适用于基于关键词、任务场景或来源线索的信息筛选需求。
  • 通过 npx skills add 命令安装,建议结合原始 README 了解具体实现。
  • 安装前应确认权限范围和维护状态,避免触发不必要的网络或文件操作。
  • 涉及命令执行时需注意运行目录和数据边界。

SKILL.md

Self-Initiated Triggers - From External Prompts to Internal Motivation

Self-Initiated Triggers (Internal Triggers) are emotional states or situations that prompt users to engage with a product without any external reminder. They represent the goal state of habit formation - when users think of your product automatically in response to specific feelings or contexts.

When to Use This Skill

  • Designing for long-term retention
  • Reducing dependency on push notifications
  • Building sustainable engagement loops
  • Understanding user motivation patterns
  • Creating products that become "default" solutions
  • Reducing user acquisition costs through organic return

Core Concepts

External vs. Internal Triggers

External Triggers              Internal Triggers
(Pushed to user)               (Pulled by user)
      |                              |
      v                              v
+-------------+               +-------------+
| - Push      |               | - Boredom   |
|   notif     |   Journey     | - Anxiety   |
| - Email     | ----------->  | - FOMO      |
| - Ads       |               | - Loneliness|
| - WOM       |               | - Curiosity |
+-------------+               +-------------+
      |                              |
      v                              v
   Expensive                     Free
   Interruptive                  Seamless
   Declining effect              Strengthening

The Trigger-Product Association

Emotion/Situation          Product Association
       |                          |
       v                          v
   "I feel bored"    -->    "I'll check Instagram"
   "I have a question" -->  "I'll Google it"
   "I feel anxious"   -->   "I'll check Slack"
   "I'm waiting"      -->   "I'll open TikTok"

Trigger Types

TriggerEmotionExample Products
NegativeBoredom, anxiety, loneliness, FOMOSocial media, news, messaging
PositiveCuriosity, excitement, anticipationLearning apps, games
SituationalWaiting, commuting, winding downPodcasts, reading apps
RoutineMorning, mealtime, bedtimeNews, meditation, fitness

Building Internal Triggers

Phase 1: External Trigger
   "We sent you a notification"
              |
              v
Phase 2: Association Forming
   Repeated: Trigger → Action → Reward
              |
              v
Phase 3: Internal Trigger Emerging
   Emotion alone triggers action
              |
              v
Phase 4: Automatic Habit
   No conscious thought needed

Analysis Framework

Step 1: Identify Target Emotions

Research questions:

  • What emotional state precedes product use?
  • What are users feeling when they reach for the product?
  • What situation or context triggers engagement?
User SegmentPrimary EmotionSecondary EmotionContext
[Segment 1][Emotion][Emotion][When/Where]
[Segment 2][Emotion][Emotion][When/Where]

Step 2: Map Current Trigger Mix

External Triggers          Internal Triggers
[_____________________]    [_____________________]
        80%                         20%

Target state:
[_____________________]    [_____________________]
        30%                         70%

Step 3: Design Trigger Strengthening

StrategyImplementation
Repeated pairingConsistent context → action → reward
Emotional resonanceDesign for target emotion
Ritual creationEncourage routine usage
Social reinforcementOthers validate the behavior

Step 4: Measure Trigger Strength

MetricWeak TriggerStrong Trigger
Return frequency without promptsLowHigh
Time to return after absenceLongShort
Usage without notificationsRareCommon
Self-reported "automatic" useNeverOften

Output Template

## Internal Trigger Analysis

**Product:** [Name] **Date:** [Date]

### Target Internal Trigger

**Primary emotion:** [Emotion] **Trigger context:** [Situation when emotion
occurs] **Desired association:** "When I feel [emotion], I [product action]"

### Current State

| Engagement Type          | % of Sessions |
| ------------------------ | ------------- |
| Push notification driven | [X%]          |
| Email driven             | [X%]          |
| Self-initiated           | [X%]          |

### User Research Findings

**Interview insight 1:** "[Quote about when/why they open the product]"
**Interview insight 2:** "[Quote about emotional state]"

### Trigger Strengthening Plan

| Strategy     | Action            | Expected Outcome |
| ------------ | ----------------- | ---------------- |
| [Strategy 1] | [Specific action] | [Metric impact]  |
| [Strategy 2] | [Specific action] | [Metric impact]  |

### Success Metrics

| Metric                      | Current | Target | Timeframe |
| --------------------------- | ------- | ------ | --------- |
| Self-initiated sessions     | [X%]    | [Y%]   | [Months]  |
| Return without notification | [X%]    | [Y%]   | [Months]  |

Real-World Examples

Example 1: Twitter/X

Target emotion: Boredom + need for stimulation Association built: "I have a spare moment → I'll check Twitter"

Mechanisms:

  • Variable reward (always new content)
  • Quick dopamine hits
  • FOMO reinforcement
  • Endless scroll removes end point

Example 2: Slack

Target emotion: Anxiety about missing information Association built: "I feel out of the loop → I'll check Slack"

Mechanisms:

  • @mentions create urgency
  • Channel activity visible
  • "Unread" counts create incompleteness
  • Professional FOMO

Example 3: Duolingo

Target emotion: Guilt + achievement desire Association built: "I should be productive → I'll do a lesson"

Mechanisms:

  • Streak creates obligation
  • Short lessons fit spare moments
  • Progress visualization rewards
  • Guilt as internal trigger (healthy or not)

Ethical Considerations

Healthy vs. Unhealthy Triggers

AspectHealthyUnhealthy
Emotion exploitedCuriosity, growth desireAnxiety, loneliness, FOMO
User outcomeFeels better after useFeels worse or unchanged
SustainabilityLong-term satisfactionShort-term with regret
ControlUser feels in controlUser feels compelled

Design for Wellbeing

  • Target positive emotions where possible
  • Ensure product delivers on emotional promise
  • Provide usage awareness tools
  • Allow notification customization
  • Design satisfying end points

Best Practices

Do

  • Research actual emotional triggers (don't assume)
  • Design reward to match the emotional need
  • Create consistent context-action pairings
  • Make first action extremely simple
  • Measure self-initiated engagement separately

Avoid

  • Relying solely on external triggers long-term
  • Exploiting negative emotions irresponsibly
  • Breaking user trust with manipulative patterns
  • Ignoring the emotional aftermath of use
  • Designing without usage boundaries

Integration with Other Methods

MethodCombined Use
Hooked ModelInternal triggers are the goal state
Fogg Behavior ModelTrigger is the T in B=MAT
Jobs-to-be-DoneEmotional jobs are internal triggers
Loss AversionFear of loss as internal trigger

Resources

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

按任务关键词查找相关 Skills

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

37.7%
按下载量换算52

Claude

26.26%
按下载量换算36

Cursor

18.92%
按下载量换算26

Gemini CLI

8.69%
按下载量换算12

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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