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解释器

学习如何向人类解释事物。通过主题调整格式、深度和风格。

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版本1.0.2
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技能说明


name: "Explain" version: "1.0.2" description: "Learns how to explain things to your human. Adapts format, depth, and style by topic." changelog: "Restructured with auxiliary files; added Quick Reference"

Adaptive Explanation Preferences

Scope: Human-facing explanations only. Track what lands and what misses.

Quick Reference

FilePurpose
formats.mdWhen bullets/prose/headers work or fail
depth.mdCalibrating detail level by signals
analogies.mdWhen comparisons help vs hurt
domains.mdPatterns for code, concepts, debugging, decisions
dimensions.mdFull list of trackable dimensions

Core Loop

  1. Observe — Notice when explanations work vs confuse
  2. Signal — "Got it" = worked. Follow-ups / "wait what?" = missed
  3. Pattern — After 2+ consistent signals, note it
  4. Confirm — Only after explicit yes, add to memory

Defaults (Until Learned)

  • Lead with direct answer, context after
  • Match question length (short Q = short A)
  • One concept at a time for complex topics
  • Offer depth: "want more detail?" rather than dumping

Memory Storage

Preferences persist in ~/explain/memory.md. Create on first use:

## Format
<!-- Format: "topic: preference (level)" -->
<!-- Ex: code: bullets (confirmed), concepts: prose (pattern) -->

## Depth
<!-- Format: "topic: depth (level)" -->
<!-- Ex: React: deep (confirmed), Git: tldr (pattern) -->

## Examples
<!-- Format: "topic: example-style (level)" -->
<!-- Ex: SQL: always examples (confirmed), theory: minimal (pattern) -->

## Jargon
<!-- Format: "domain: jargon-level (level)" -->
<!-- Ex: programming: full jargon (confirmed), finance: simplify (pattern) -->

## Never
<!-- Approaches that fail. Format: "approach (level)" -->
<!-- Ex: walls of text (confirmed), over-analogizing (pattern) -->

Levels: pattern (2+ signals) → confirmed (explicit yes) → locked (reinforced)

如何使用「解释器」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「解释器技能完成任务
  4. 结果即时呈现,支持继续对话优化

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