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Reflection Weaver

该 Skill 用于知识库写作:判定文本类型,保留反思/文章原有声音,只提取稳定可复用的概念,在正文中轻量嵌入链接,并在周边笔记中加强反向链接;必要时拆分为反思、概念笔记与综合笔记。

jjjhenriksen
jjjhenriksen
热度 12.14
最近更新 2026-07-08 10:16:27
分类:知识依赖:纯提示词应用场景:笔记整理 / 摘要总结 / 概念解释

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add reflection-weaver
Metadata
name
reflection-weaver
description
Turn a reflection, draft essay, or voice-note transcript into a woven knowledge object by preserving the voice, extracting stable concepts, and strengthening backlinks.
tags
["reflection","essay","vault","knowledge-management","writing"]

Reflection Weaver

Use this skill when writing enters your knowledge base as lived material rather than already-normalized concepts.

Core job

  1. Decide what the text is:
    • reflection / essay
    • concept note seed
    • synthesis seed
    • some combination of the above
  2. Preserve the reflection as writing first.
  3. Extract only the concepts that are genuinely stable and reusable.
  4. Weave natural links into the reflection body.
  5. Strengthen rediscovery through backlinks from surrounding notes.

Non-negotiable rules

  • Do not turn a reflection into a hub note.
  • Do not replace singularity with general theory.
  • Do not add explanatory prose inside the reflection unless the user asks.
  • Prefer light embedded links in the reflection body and stronger backlink work elsewhere.

Splitting policy

If a single draft is doing multiple jobs, split it into:

  • reflection / essay
  • concept note(s)
  • synthesis or cluster note if needed

The essay remains canonical for the lived material.

Good extraction targets

  • phrases that name a mechanism
  • repeated patterns that appear elsewhere in the vault
  • tensions that are broader than a single incident

Do not extract every good line.

Linking policy

  • Use meaningful nouns and pressure phrases.
  • Avoid visible overlinking.
  • The note should still read as prose with links turned on.

Output goal

The result should feel like:

  • preserved writing
  • clearer graph structure
  • no loss of voice