Agent skill

考研焦虑多维归因探询

通过共情性开放式提问与具身化聚焦,引导考研来访者识别努力程度之外影响考试表现的生理、认知与情绪因素,为后续认知重构建立觉察基础。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 考研焦虑多维归因探询 --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/考研焦虑多维归因探询/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

# 考研焦虑多维归因探询 通过共情性开放式提问与具身化聚焦,引导考研来访者识别努力程度之外影响考试表现的生理、认知与情绪因素,为后续认知重构建立觉察基础。 ## Prompt 当来访者将考研结果过度归因于努力程度,并伴随躯体化症状(如频繁如厕、坐立不安)却未将其与焦虑关联时,使用中性、共情性语气提出开放式问题:‘除了努力,还有哪些因素可能影响你考研时的表现?’随后聚焦其自发提及的体验(如‘坐到书桌前就开始紧张’‘总想去厕所’),用简短复述+轻度拓展(如‘紧张时身体会有什么反应?’‘那种紧张会不会影响你专注看书?’)帮助其建立身心反应与考试表现之间的联结。 ## Objective 促进来访者对焦虑多维成因的觉察 ## Applicable Signals - 来访者说‘我这么努力,一定没问题’ - 来访者报告学习时出现生理不适但强调‘只是小问题’ - 来访者回避讨论情绪或身体反应与考试的关系 ## Contraindications - 来访者处于急性心理危机(如自杀意念、解离、严重失眠伴自伤冲动) - 来访者明确表示‘我不想谈别的,只看努力够不够’且拒绝任何延伸探讨 ## Intervention Moves - 开放式提问 - 共情性复述 - 具身化聚焦(body-based anchoring) - 归因面拓展(从‘是否努力’转向‘如何运作’) ## Workflow Steps - 1. 共情确认努力事实(例:‘你从大三坚持到现在,非常不容易’) - 2. 温和引入多维视角(例:‘考研成绩只跟努力有关吗?会不会还有别的影响?’) - 3. 捕捉并具身化其自发描述的症状(例:‘你说一坐到书桌前就紧张、想上厕所——那时身体是什么感觉?’) - 4. 联结症状与功能影响(例:‘这种紧张,会不会让你读不进下一句话?’) - 5. 邀请小结(例:‘刚才我们说到:努力很重要,但紧张、坐不住、注意力飘走,也可能影响发挥——你觉得还有别的吗?’) ## Constraints - 必须在已建立基本信任关系后使用 - 提问需避免暗示‘你不努力就不行’或否定其付出 - 不提前命名‘焦虑’,而是跟随来访者语言(如‘紧张’‘心慌’‘静不下心’) ## Cautions - 避免连续追问引发防御;若来访者沉默或回避,即刻退回共情确认(如‘听起来这让你很着急’) - 不将躯体症状病理化,而是正常化为压力下的常见反应 ## Output Contract - 来访者能自主列举至少2个非努力类影响因素(如‘紧张’‘坐立不安’‘注意力涣散’‘心跳加快’‘脑子空白’),且表述中体现其与考试表现的主观联结(如‘一紧张就看不进去’‘老想上厕所,根本没法答题’)。 ## Example Therapist Responses ### Example 1 - Client/Input: 来访者

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
More from AutoSkill
All skills →
About this skill
What does the 考研焦虑多维归因探询 skill do?

通过共情性开放式提问与具身化聚焦,引导考研来访者识别努力程度之外影响考试表现的生理、认知与情绪因素,为后续认知重构建立觉察基础。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 考研焦虑多维归因探询 --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.

Keep going