考试情境自动思维识别与标记
引导来访者在具身化回忆具体考试片段时,即时捕捉、 preserve 原始语言、并三栏标注(思维原文|发生时刻|身体反应)其伴随出现的消极自动思维,为后续认知重构提供可操作的认知素材。
npx skills add ECNU-ICALK/AutoSkill --skill 考试情境自动思维识别与标记 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 考试情境自动思维识别与标记 引导来访者在具身化回忆具体考试片段时,即时捕捉、 preserve 原始语言、并三栏标注(思维原文|发生时刻|身体反应)其伴随出现的消极自动思维,为后续认知重构提供可操作的认知素材。 ## Prompt 请 recall a recent exam situation where you felt anxious. As you picture it, notice what thoughts pop up automatically—especially those that feel urgent, repetitive, or emotionally charged. Say each one aloud or write it down exactly as it appeared. Then name: (1) the specific moment it arose (e.g., ‘when the teacher handed out the test’), and (2) any immediate physical sensation (e.g., ‘tight scalp’, ‘shaky hands’). Do not judge or fix the thought—just identify and label it. ## Objective 识别并外化考试相关自动思维 ## Applicable Signals - 来访者描述考试时出现身体紧张或回避行为 - 作业中呈现‘必须完美’‘怕丢脸’等绝对化表述 - 会谈中自发使用‘我一定…’‘万一…就完了’等句式 ## Contraindications - 来访者无法区分想法与情绪 - 思维内容涉及现实危险或妄想 - 当前情绪极度激越无法聚焦 ## Intervention Moves - 引导具身化回忆(‘像重放录像一样’) - 思想-情境-身体反应三栏锚定 - 中性命名(如‘这是‘考不好=没价值’想法’而非‘这是错的’) ## Workflow Steps - 确认来访者处于平静可聚焦状态;简要回顾上次作业中浮现的身体/情绪线索。 - 邀请来访者闭眼或凝视固定点,缓慢回溯一个具体考试片段(不需完整过程,聚焦1–2分钟高峰时刻)。 - 用暂停、慢速提问(‘刚才那一秒,心里最先冒出什么话?’)捕获自动思维;同步记录原话、情境锚点、身体反应。 - 共同检查所录语句是否符合‘自动’特征(快、无意识、情绪绑定、非推理性);对模糊表述做温和澄清(如将‘很糟’转为‘我肯定挂科了’)。 - 确认至少3条独立、情境具体的自动思维语句,并完成三栏标注(思维原文|发生时刻|身体反应) ## Constraints - 不解释、不挑战、不替代来访者语言;全程使用其原话,避
- Prompt
- Objective
- Applicable Signals
- Contraindications
- Intervention Moves
- Workflow Steps
- Constraints
- Cautions
- Output Contract
- Example Therapist Responses
- Example 1
- Example 2
- Files
- Triggers
What does the 考试情境自动思维识别与标记 skill do?
引导来访者在具身化回忆具体考试片段时,即时捕捉、 preserve 原始语言、并三栏标注(思维原文|发生时刻|身体反应)其伴随出现的消极自动思维,为后续认知重构提供可操作的认知素材。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 考试情境自动思维识别与标记 --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.
