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Chat

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

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High Signal

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

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, criteria.md, dimensions.md

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.1.0

Provenance

Publisher: ivangdavila
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

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

TopicFilePreference dimensionsdimensions.mdConfirmation criteriacriteria.md

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

StageLocationActionTestingexperiments.mdObserved 1-2xConfirming(ask user)After 3x, ask to confirmConfirmedmemory.mdUser approvedRejectedrejected.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

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs

SKILL.md Primary doc
criteria.md Docs
dimensions.md Docs