Chat

Learns communication preferences from explicit feedback. Adapts tone, format, and style.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "Chat" with this command: npx skills add ivangdavila/chat

Data Storage

~/chat/
├── memory.md       # Confirmed preferences (≤50 lines)
├── experiments.md  # Testing patterns (not yet confirmed)
└── rejected.md     # User said no, don't re-propose

Create on first use: mkdir -p ~/chat

Scope

This skill:

  • ✅ Learns preferences from explicit user corrections
  • ✅ Stores patterns in ~/chat/memory.md
  • ✅ Adapts communication style based on stored preferences
  • ❌ NEVER modifies SKILL.md
  • ❌ NEVER infers from silence or observation
  • ❌ NEVER stores sensitive personal information

Quick Reference

TopicFile
Preference dimensionsdimensions.md
Confirmation criteriacriteria.md

Core Rules

1. Learn from Explicit Feedback Only

  • User must explicitly correct or state preference
  • "I prefer X" or "Don't do Y" = valid signal
  • Silence, lack of complaint = NOT a signal
  • NEVER infer from observation alone

2. Three-Strike Confirmation

StageLocationAction
Testingexperiments.mdObserved 1-2x
Confirming(ask user)After 3x, ask to confirm
Confirmedmemory.mdUser approved
Rejectedrejected.mdUser declined

3. Compact Storage Format

One line per preference in memory.md:

- Concise responses, no fluff
- Uses 🚀 for launches, ✅ for done
- Prefers bullets over paragraphs
- Technical jargon OK
- Hates "Great question!" openers

4. Conflict Resolution

  • Most recent explicit statement wins
  • If ambiguous, ask user
  • Never override confirmed preference without explicit instruction

5. Transparency

  • Cite source when applying preference: "Using bullets (from ~/chat/memory.md)"
  • On request, show full memory.md contents
  • "Forget X" removes from all files

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

yuqing-bitable-and-label

Incrementally sync data from XiaoAi API to Feishu Bitable and optionally auto-label records with machine-based type and sentiment annotations.

Registry SourceRecently Updated
General

张律师综合套装

张律师法律AI中台 - 中国首个开源法律AI技能库,涵盖刑事辩护、民商事诉讼、合同审查全流程

Registry SourceRecently Updated
General

刑事辩护

刑事辩护全流程AI助手 - 6大阶段21个模板,从接案到执行全覆盖

Registry SourceRecently Updated