← 返回
未分类

decision-fatigue-reliever

Helps you make quick decisions on daily trivial matters (food, clothing, activities, shopping), reducing choice anxiety and freeing up cognitive resources. Use when the user says "what should I eat", "what to wear", "help me decide", "don't know what to buy", or any trivial decision-making requests.
Helps you make quick decisions on daily trivial matters (food, clothing, activities, shopping), reducing choice anxiety and freeing up cognitive resources. Use when the user says "what should I eat", "what to wear", "help me decide", "don't know what to buy", or any trivial decision-making requests.
yjkj999999
未分类 community v1.0.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 18
下载
💾 0
安装
1
版本
#latest

概述

Decision Fatigue Reliever

Overview

Helps you make quick decisions on daily trivial matters, reducing choice anxiety and freeing up cognitive resources.

> "Let AI handle the trivial decisions, save your energy for what truly matters"


Triggers

Natural Language Triggers

Decision TypeExample Triggers
--------------------------------
🍽️ What to Eat"What should I eat for lunch", "Help me decide dinner", "Suggest breakfast", "Don't know what to eat"
👔 What to Wear"What should I wear today", "Help me pick an outfit", "What to wear for an interview tomorrow", "What to wear in this weather"
🎯 What to Do"Don't know what to do this weekend", "What to do after work", "Want to exercise, what should I choose"
🛒 What to Buy"What gift for my friend", "Want to buy headphones, recommend one", "Help me choose something cost-effective"

Quick Commands

CommandFunction
-------------------
/decide foodQuick food decision
/decide outfitQuick outfit decision
/decide activityQuick activity decision
/decide buy [item]Quick purchase decision
/decide randomCompletely random decision

Core Features

🍽️ Food Decisions

Applicable Scenarios: Breakfast, lunch, dinner, snacks, group dining

Optional Inputs:

  • Budget range (Economy / Standard / Unlimited)
  • Taste preference (Light / Heavy / Spicy / Sweet, etc.)
  • Time constraint (Rushed / Normal / Relaxed)
  • Dietary restrictions (Vegetarian / Halal / Allergies, etc.)

Output:

  • Recommended dish/restaurant
  • Reasoning (taste, nutrition, convenience)
  • Estimated price and time
  • Alternative options

Example:

User: What to eat for lunch? Budget 50, short on time

AI: 🍽️ Lunch Decision: Business Set Meal

📍 Recommendation: [Yoshinoya] Beef Bowl Set
📋 Reasoning: Fast service (3-5 min), within budget (¥45), filling
⏱️ Time: 20-25 minutes

💡 Alternatives: Convenience store bento (faster) / Light salad (healthier)

👔 Outfit Decisions

Applicable Scenarios: Daily wear, occasion dressing, weather adaptation

Optional Inputs:

  • Occasion (Work / Date / Exercise / Formal event)
  • Weather/temperature
  • Style preference (Minimalist / Fashionable / Vintage, etc.)

Output:

  • Complete outfit plan (Top + Bottom + Shoes + Accessories)
  • Styling reasoning (color, occasion fit, comfort)
  • Weather adaptation notes
  • Alternative outfits

Example:

User: First date tomorrow, 18°C, what to wear?

AI: 👔 Date Outfit: Clean Gentleman Style

🧥 Outfit:
• White T-shirt + Light gray casual blazer
• Dark blue slim-fit jeans
• White sneakers + Simple watch

📋 Reasoning: Can remove blazer at 18°C, suitable for restaurant + movie, clean color palette
💡 Alternatives: More formal (shirt + leather shoes) / More casual (remove blazer)

🎯 Activity Decisions

Applicable Scenarios: Weekend activities, after-work plans, exercise choices, work-life balance

Optional Inputs:

  • Available time (duration)
  • Energy level (High / Medium / Low)
  • Budget (Free / Low / Medium / High)
  • Group size (Solo / Friends / Family)

Output:

  • Recommended activity plan
  • Activity reasoning (fit analysis)
  • Required preparation
  • Estimated duration and cost
  • Alternative activities

Example:

User: Weekend alone, don't want to spend much, want to go out

AI: 🎯 Weekend Activity: Park Picnic + Reading

📍 Recommendation: City park picnic
📋 Reasoning: Solo-friendly, low cost (under ¥50), outdoor + digital detox
🎒 Preparation: Picnic mat, sandwich, fruit, book to read
⏱️ Duration: 3-4 hours
💰 Cost: ¥30-50

💡 Upgrade: Bring camera for photography practice / Bird and plant watching

🛒 Purchase Decisions

Applicable Scenarios: Gift shopping, daily necessities, electronics comparison, value shopping

Optional Inputs:

  • Product category
  • Purchase purpose/usage scenario
  • Budget limit
  • Recipient info (age/gender/preferences)
  • Priority (price/quality/brand/features)

Output:

  • Recommended product/brand (1-3 options)
  • Reasoning (fit analysis)
  • Price comparison
  • Purchase channel suggestions

Example:

User: Birthday gift for mom, budget 300-500

AI: 🎁 Gift Decision: Silk Scarf + Hand Cream Set

🎯 Recommendation: Wensli silk scarf + L'Occitane hand cream
📋 Reasoning: Matches 50+ elegant taste, practical, mom values skincare
💰 Budget: ¥300-500
🛒 Channel: Tmall flagship store

💡 Alternatives: Massager (for neck/shoulder pain) / Tea gift set (if she loves tea)

Decision Templates

Standard Output Format

🎯 Decision: [Specific recommendation]

📋 Reasoning:
• [Reason 1 - Preference match]
• [Reason 2 - Scenario fit]
• [Reason 3 - Other value]

💰 Estimated Cost: [Price range]
⏱️ Estimated Time: [Time needed]

💡 Alternatives:
1. [Alternative 1]
2. [Alternative 2]

❓ Satisfaction: [👍 Satisfied / 👎 Not satisfied / 🔄 Try another]

Quick Decision Mode

When user says "hurry", "whatever", "quick", use simplified output:

🚀 Quick Decision: [Result]

Reason: [One sentence]

Say "another one" if not satisfied

Usage Examples

Example 1: Workday Lunch

User: What to eat for lunch? Budget 50, near office, short on time

AI: 🍽️ Lunch Decision: Business Set Meal

📍 Recommendation: [Yoshinoya/Sukiya] Beef Bowl Set
📋 Reasoning: Fast service (3-5 min), within budget (¥40-50), filling for afternoon
⏱️ Time: 20-25 minutes

💡 Alternatives: Convenience store bento (faster) / Light salad (healthier)

Example 2: Date Outfit

User: First date tomorrow night, 18°C, dinner and movie

AI: 👔 Date Outfit: Clean Gentleman Style

🧥 Outfit:
• White T-shirt + Light gray casual blazer
• Dark blue slim-fit jeans
• White sneakers + Simple watch

📋 Reasoning: Can remove blazer at 18°C, suitable for restaurant + movie, clean colors show effort
💡 Alternatives: More formal (shirt + leather shoes) / More casual (remove blazer)

Example 3: Weekend Activity

User: Weekend alone, don't want to spend much, want to go out

AI: 🎯 Weekend Activity: Park Picnic + Reading

📍 Recommendation: City central park
📋 Reasoning: Solo-friendly, low cost (under ¥50), outdoor + digital detox
🎒 Preparation: Picnic mat, sandwich, fruit, book to read
⏱️ Duration: 3-4 hours
💰 Cost: ¥30-50

Example 4: Gift Shopping

User: Birthday gift for mom, budget 300-500

AI: 🎁 Gift Decision: Silk Scarf + Hand Cream Set

🎯 Recommendation: Wensli silk scarf + L'Occitane hand cream
📋 Reasoning: Matches 50+ elegant taste, highly practical, mom values skincare
💰 Budget Match: ¥300-500
🛒 Channel: Tmall flagship store

💡 Alternatives: Massager (for neck/shoulder pain) / Tea gift set (if she loves tea)

Decision Principles

1. Decision First

Give a clear decision result first, then explain the reasoning

2. Transparent Reasoning

Help users understand the logic behind the decision

3. Provide Alternatives

Always provide 1-2 alternative options

4. Feedback Loop

Every output includes a feedback entry point

5. Personalization

Adjust recommendations based on user context and preferences


Safety Escalation (High-Risk Response)

⚠️ Stop the normal decision-support flow immediately if the user expresses any of the following:

  • self-harm or suicide thoughts related to decisions
  • overwhelming despair or inability to make any decisions
  • obvious acute mental-health crisis that makes decision support inappropriate

Use a direct response like:

> ⚠️ Important: This is not the right time to continue normal decision support. If you may harm yourself or someone else, or cannot keep yourself safe, contact a trusted person nearby immediately and reach out to local emergency services, an emergency department, a crisis hotline, or a licensed professional as soon as possible.

Then keep the tone calm, direct, and serious. Do not continue normal decision guidance until safety is addressed.


Boundaries & Limitations

Supported

✅ Daily trivial matters: food, clothing, activities, shopping

Not Supported

❌ Major life decisions: career choices, investment decisions, medical decisions, legal decisions

Disclaimer

> ⚠️ Disclaimer: This tool is only for everyday low-stakes decision support and does not constitute medical advice, investment advice, legal advice, or any other professional guidance. For major decisions involving health, safety, finances, or career development, consult a qualified professional. Users remain responsible for their own decisions and outcomes.

This skill can:

  • help with daily trivial decisions (food, clothing, activities, shopping)
  • reduce choice anxiety through quick recommendations
  • provide alternatives for user to choose from

This skill must not:

  • make decisions about mental health treatment
  • claim the user has decision-making disorders
  • present recommendations as medical or psychological advice
  • replace professional counseling, legal advice, or financial planning

Technical Information

AttributeValue
------------------
Skill IDdecision-fatigue-reliever
Version1.0.0
Authorharrylabsj
StatusStable
Workspacedecision-fatigue-reliever
LicenseMIT

Last updated: 2026-03-23

版本历史

共 1 个版本

  • v1.0.0 从ClawHub迁移发布 当前
    2026-06-07 11:47 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

life-service

Sonoscli

steipete
控制Sonos音箱(发现/状态/播放/音量/分组)
★ 56 📥 85,151
life-service

Caldav Calendar

asleep123
使用 vdirsyncer + khal 同步并查询 CalDAV 日历(iCloud、Google、Fastmail、Nextcloud 等)。适用于 Linux。
★ 243 📥 30,645
life-service

Weather

steipete
获取当前天气和预报(无需API密钥)
★ 455 📥 228,711