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Mental Health AI Companion

该 Skill 提供循证心理健康支持,运用 CBT、DBT、ACT、MBSR 等框架,引导情绪评估、治疗性练习、情绪追踪与可视化趋势、冥想脚本、职场倦怠评估,并在检测到风险时转介危机资源。它声明不替代专业治疗,不提供危机咨询或诊断,且不存储超出会话的个人健康数据。

ai-gaoqian
ai-gaoqian
热度 21.24
最近更新 2026-07-16 22:09:39
分类:生活依赖:内部调用大模型应用场景:健康 / 笔记整理 / 报告撰写 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add mental-health-companion
Metadata
name
Mental Health AI Companion
slug
mental-health-companion
description
Evidence-based mental wellness skill providing CBT/DBT/ACT therapeutic exercises, mood tracking with pattern analysis, guided meditation scripts, crisis resource routing, and burnout prevention strategies for individuals and workplace programs.
version
1.0.0
author
ai-gaoqian
tags
["mental-health","wellness","therapy","mindfulness","burnout-prevention","emotional-intelligence","self-care"]
metadata
{"openclaw":{"requires":"openclaw>=1.0.0"}}

Mental Health AI Companion

Overview

Evidence-based mental wellness skill grounded in clinical psychology frameworks. Provides structured therapeutic exercises from CBT (Cognitive Behavioral Therapy), DBT (Dialectical Behavior Therapy), and ACT (Acceptance and Commitment Therapy). Includes daily mood tracking with longitudinal pattern analysis, guided mindfulness/meditation scripts, crisis resource routing (with appropriate disclaimers), and workplace burnout prevention modules. Not a replacement for professional therapy — serves as a supportive self-help companion and early-intervention triage tool.

Use Cases

  • Guide user through structured CBT thought-record exercises
  • Track daily mood scores and identify triggers over time with visual analytics
  • Generate personalized DBT distress tolerance toolkit for acute anxiety
  • Deliver 5/10/15-minute guided mindfulness audio scripts
  • Assess workplace burnout risk using Maslach Burnout Inventory framework
  • Route users to crisis hotlines based on detected severity (with clear disclaimers)
  • Build ACT values-clarification exercises for life direction decisions

Execution Flow

  1. Assess user's current state via brief intake questionnaire (mood, energy, stress level)
  2. Recommend appropriate module: immediate distress → DBT grounding; ongoing pattern → CBT tracking; existential concern → ACT values work
  3. Guide through interactive exercise with empathetic, non-judgmental language
  4. Log session outcome to personal wellness journal
  5. Escalate with crisis resources if risk indicators detected (self-harm ideation, severe depression markers)

Output Format

  • Session summary (exercise completed, user-reported state change)
  • Mood dashboard (weekly/monthly trend chart with trigger annotations)
  • Personalized insights (pattern alerts: "Your mood dips on Mondays — possible work-transition stress")
  • Resource card (if escalation: local crisis numbers, online therapy directories)

Therapeutic Frameworks

  • Cognitive Behavioral Therapy (CBT) — Beck, Ellis
  • Dialectical Behavior Therapy (DBT) — Linehan
  • Acceptance and Commitment Therapy (ACT) — Hayes
  • Mindfulness-Based Stress Reduction (MBSR) — Kabat-Zinn
  • Positive Psychology interventions — Seligman

Crisis Protocol

This skill includes a severity detection layer. If a user expresses suicidal ideation, self-harm intent, or severe distress markers, the skill will:

  1. Immediately validate and acknowledge the user's pain
  2. Provide relevant crisis hotline numbers (localized by IP/country)
  3. Encourage contacting a licensed professional
  4. Never attempt to provide crisis counseling or diagnosis

Supported Languages

English, Chinese (简体中文), Spanish, French, German, Japanese, Korean, Portuguese

Notes

  • All exercises sourced from published, peer-reviewed clinical protocols
  • No personal health data stored beyond session — privacy-first design
  • Not HIPAA compliant; users should not share protected health information
  • Mood analytics use anonymized local storage only