A structured prompt for personal self-recording, reflection, and cognitive sorting, guiding users to separate facts, feelings, and interpretations while maintaining empathy and reality testing.

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License

NOASSERTION

Last updated

2026-07-29

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It provides a practical, evidence-based approach to using LLMs as a thinking companion, emphasizing user honesty, detailed input, and recognizing the model's limitations rather than promising automated self-understanding.

Who it is for

  • Individuals who journal or practice self-reflection
  • Users of AI chat tools seeking structured personal analysis
  • Developers integrating reflective prompts into agent workflows
  • People interested in cognitive behavioral pattern recognition

Use cases

  • Daily journaling with structured fact/feeling/interpretation breakdown
  • Reviewing past events to identify recurring cognitive patterns
  • Preparing personal narratives for therapy or coaching (as a supplementary tool)
  • Using Claude Code or other agents for automated local record workflows

Strengths

  • Explicit user requirements (honesty, detail) improve output reliability
  • Clear separation of facts, feelings, and interpretations reduces bias
  • Multiple integration methods: standalone prompt, Claude Code, agent configs
  • Includes security warnings and limitations to prevent misuse

Considerations

  • Requires significant user effort and self-discipline to be effective
  • Not a substitute for professional mental health or crisis services
  • Restricted to non-commercial use under CC BY-NC-SA license

README quick start

使用门槛

Description

面向个人自我记录、复盘和认知梳理的伙伴型-提示词及agent配置文件:从具体线索出发,区分事实、感受和解释,在共情的同时保留现实检验。

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