痛苦隐喻重构：蝴蝶破茧引导
运用‘蝴蝶破茧’隐喻，帮助来访者将过往痛苦经验重新理解为成长必经的转化过程，促发意义建构与自我接纳。适用于情绪低落、自我否定明显、存在意义感缺失的来访者。
npx skills add ECNU-ICALK/AutoSkill --skill 痛苦隐喻重构：蝴蝶破茧引导 --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.
# 痛苦隐喻重构：蝴蝶破茧引导 运用‘蝴蝶破茧’隐喻，帮助来访者将过往痛苦经验重新理解为成长必经的转化过程，促发意义建构与自我接纳。适用于情绪低落、自我否定明显、存在意义感缺失的来访者。 ## Prompt 以平静、尊重、非说教的语气讲述蝴蝶破茧的过程：蝶蛹并非被破坏，而是内部力量推动外壳裂开；挣扎不是徒劳，而是让体液流入翅膀、获得飞翔能力的必经阶段。随后停顿，邀请来访者自由联想：这个画面是否唤起某种感受、记忆或疑问？不急于解释，优先承接其反应。若来访者产生联结，可轻柔追问：‘此刻，哪一部分最触动你？’或‘如果这个过程在你身上发生，它可能意味着什么？’ ## Objective Facilitate existential reframing of distress as part of self-actualization process, enhancing self-compassion and perceived agency. ## Applicable Signals - 来访者用‘没意义’‘白受苦’描述过往经历 - 来访者对故事/意象有明显情绪反应（如停顿、眼眶湿润、重复某词） - 来访者主动提问关于痛苦与成长的关系 ## Contraindications - Client explicitly rejects metaphors or storytelling - Client is in acute dissociation or hypervigilance - Metaphor risks spiritual/religious misalignment (e.g., if client associates 'butterfly' with loss or fragility) ## Intervention Moves - 隐喻叙事 - 开放式提问 - 情感命名与确认 - 留白与等待 - 体验性回应（如‘我听到你说……时声音变轻了’） ## Workflow Steps - 1. 评估当下状态：确认来访者情绪稳定、具备基本象征理解力； - 2. 呈现隐喻：简洁讲述蝴蝶破茧过程，强调挣扎的生理必要性与转化功能； - 3. 邀请联结：用开放句式邀请感受或联想，不预设答案； - 4. 深化体验：基于来访者回应，用共情语言锚定其内在体验（如‘那种被卡住又必须用力的感觉，很真实’）； - 5. 支持内化：若出现自发联结，轻声复述其话语并留空间，不添加解释。 ## Constraints - 不将隐喻强加为‘真理’，始终以来访者反应为校准依据 - 避免美化痛苦 or暗示‘所有苦难都有回报’ - 不替代具体安全计划 or危机干预措施 ## Cautions - 若来访者联想到丧失（如逝去亲人昵称含‘蝶’）、创伤触发物（如曾被称‘脆弱如蝶’），立
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- Applicable Signals
- Contraindications
- Intervention Moves
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- Constraints
- Cautions
- Output Contract
- Example Therapist Responses
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What does the 痛苦隐喻重构：蝴蝶破茧引导 skill do?
运用‘蝴蝶破茧’隐喻，帮助来访者将过往痛苦经验重新理解为成长必经的转化过程，促发意义建构与自我接纳。适用于情绪低落、自我否定明显、存在意义感缺失的来访者。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill 痛苦隐喻重构：蝴蝶破茧引导 --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.