npx skills add ECNU-ICALK/AutoSkill --skill 应试场景瞬时放松训练 --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.
# 应试场景瞬时放松训练 在合理想象技术中嵌入微秒级自我放松指令(如深呼吸+短语告诫),训练来访者在应试压力峰值瞬间启动生理-认知双通道调节。 ## Prompt 引导来访者进入考研想象场景;当其报告紧张情绪初现时,立即提示执行‘一次深呼吸 + 心中默念/轻声说出‘没什么大不了,像平时一样就好’’;同步观察其动作连贯性与言语自发性;重复3–5次,每次强化反应速度与身心同步感。 ## Objective 提升应试情境下情绪调节的自动化与即时性 ## Applicable Signals - 来访者在想象应试情境中出现自主报告的紧张感(如心跳加快、手心出汗、思维空白) - 能识别自身紧张起始点(如‘刚看到题干就发紧’) - 已有稳定使用深呼吸或肌肉放松的经验 ## Contraindications - 来访者尚未建立基本放松体验 - 存在严重躯体化症状需医学评估 ## Intervention Moves - 即时指令锚定 - 短语共构(非 therapist 单向赋予) - 生理-言语同步强化 - 微刺激暴露(单点触发) ## Workflow Steps - 确认来访者处于放松基线状态 - 引导其想象典型应试触发场景(如拆封试卷、听到监考指令) - 邀请其专注觉察身体最早出现的紧张信号 - 在其报告信号初现时,即时发出简洁指令:‘现在,深呼吸——然后告诉自己:没什么大不了,像平时一样就好’ - 鼓励其复述短语并同步完成呼吸动作,不计时、不纠错,只确认‘做了’ - 询问体验差异(如‘这次和刚才紧张时,身体哪里不同?’) ## Constraints - 必须在安全可控的想象场景中启动,不可在真实高风险考试前首次尝试 - 每次训练仅聚焦单一触发点(如‘看到试卷封面’或‘听到开考铃声’) - 短语须由来访者自选并内化,禁止 therapist 替代命名 ## Cautions - 避免过度强调‘必须立刻放松’,以防形成新的表现焦虑;应强调‘觉察即调节起点’ - 若连续2次无法完成连贯动作+短语,退回基础放松巩固 ## Output Contract - 来访者能在想象中触发紧张时,不假思索完成‘深呼吸+告诫自己没什么大不了’的连贯动作与言语反应 ## Example Therapist Responses ### Example 1 - Client/Input: 来访者说:‘刚想到进考场就肩膀发硬,手心冒汗。’ - Therapist/Output: 咨询师:“好,现在就在这里——吸气……呼气……告诉自己:没什么大不了,像平时一样就好。”(停顿2秒)“刚才那句话,是你自己心里说的,还是我替你说的?” - Notes: 聚焦主语归属,强化自我发起感 ### Example 2 - Client/Input: 来访者完成呼吸但未出声短语。 - Therapist/
- 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 应试场景瞬时放松训练 skill do?
在合理想象技术中嵌入微秒级自我放松指令(如深呼吸+短语告诫),训练来访者在应试压力峰值瞬间启动生理-认知双通道调节。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 应试场景瞬时放松训练 --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.
