Agent skill

奖学金主题行为实验微技能

结构化暴露任务:引导来访者就奖学金相关话题开展低门槛真实对话,通过三字段记录(预测/实际/焦虑分0–10)检验灾难化自动思维,促进成就相关核心信念更新。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 奖学金主题行为实验微技能 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 3 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/DocSkill/心理咨询/Family技能/认知行为疗法/微技能/奖学金主题行为实验微技能/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 奖学金主题行为实验微技能 结构化暴露任务:引导来访者就奖学金相关话题开展低门槛真实对话,通过三字段记录(预测/实际/焦虑分0–10)检验灾难化自动思维,促进成就相关核心信念更新。 ## Prompt 引导来访者选择一个具体、可接触的奖学金相关对话场景(如与同学讨论评选标准、向老师咨询落选原因);指导其在对话前填写‘预测他人反应’及预期焦虑值(0–10分);对话后24小时内记录‘实际发生情况’和‘事后焦虑值’;下次咨询中共同检视差异≥4分的条目,引导归因再评估(如‘这件事说明他人更关注什么?’),并总结1条经验性学习点。 ## Objective 验证并修正成就相关灾难化预测 ## Applicable Signals - 来访者反复表达‘别人会嘲笑我落选’等具体预测性担忧 - 能明确说出1个可执行的对话对象和场景 - 已掌握基础情绪评分(0–10)和简单事件描述 ## Contraindications - 来访者当前有严重自杀意念或现实检验能力受损 - 目标话题涉及高风险比较(如直接询问他人成绩) - 缺乏安全支持系统应对可能的情绪波动 ## Intervention Moves - 设定单次、低门槛对话目标 - 标准化三字段记录(预测/实际/焦虑分) - 引导归因再评估:‘这件事说明他人更关注什么?’ ## Workflow Steps - 确认来访者选定具体奖学金相关对话场景(如‘与室友聊今年评选流程’) - 指导填写行为实验表:预测内容、预期焦虑分(0–10)、实际发生、事后焦虑分 - 下次咨询中共同检视记录,标注预测与现实差异≥4分的条目 - 引导口头总结1条经验性学习(例:‘原来别人并不追问我的失败,而是关心制度是否公平’) ## Constraints - 每次仅聚焦1个对话场景 - 必须包含焦虑值前后对比(0–10分) - 记录须在对话后24小时内完成 ## Cautions - 避免引导至自我贬低式归因(如‘是我太敏感’),而应聚焦外部证据检验 - 若连续2次焦虑分未下降,需重新评估场景难度或支持准备 ## Output Contract - 来访者连续2周完成实验记录表,且至少1次记录显示预测与实际显著不符(如焦虑值下降≥4分)并能口头总结学习点 ## Example Therapist Responses ### Example 1 - Client/Input: 来访者预测:‘问辅导员落选原因时,她会觉得我不够努力(焦虑8分)’ - Therapist/Output: 实际:辅导员详细解释评审细则,并肯定其科研表现;事后焦虑3分;学习点:‘评审是看标准,不是看个人态度’ - Notes: 预测与现实差异5分,符合成功标准 ### Example 2 - Client/Input: 来访者预测:‘和同学聊奖学金时,他们会转移话题或敷

What's inside
Steps it walks through
  1. Prompt
  2. Objective
  3. Applicable Signals
  4. Contraindications
  5. Intervention Moves
  6. Workflow Steps
  7. Constraints
  8. Cautions
  9. Output Contract
  10. Example Therapist Responses
  11. Example 1
  12. Example 2
  13. Files
  14. Triggers
Ships with 2 files
  • references/evidence.md
  • references/evidence_manifest.json
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About this skill
What does the 奖学金主题行为实验微技能 skill do?

结构化暴露任务:引导来访者就奖学金相关话题开展低门槛真实对话,通过三字段记录(预测/实际/焦虑分0–10)检验灾难化自动思维,促进成就相关核心信念更新。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 奖学金主题行为实验微技能 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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