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adaptive-communication适应性沟通

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

4,749

周安装

194

GitHub Stars

196

下载量

1,521
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:adaptive-communication(适应性沟通)
来源仓库:https://github.com/bencium/bencium-claude-code-design-skill
仓库路径:skills/adaptive-communication
安装命令:
npx skills add https://github.com/bencium/bencium-claude-code-design-skill --skill adaptive-communication
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bencium/bencium-claude-code-design-skill --skill adaptive-communication

简介

adaptive-communication 用于根据用户沟通风格调整 Agent 响应方式,提升理解准确性与交互体验。

  • 适用于 Codex、Claude、Cursor、Gemini CLI,支持高语境与低语境场景下的差异化表达策略。
  • 核心目标是让用户感到被理解,同时确保任务高效完成,适用于复杂决策或情感敏感场景。
  • 使用时需注意上下文一致性,避免频繁切换沟通模式导致混淆或信息断裂。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Adaptive Communication

Meet users where they are. Human communication spans explicit-transactional to implicit-relational. Both valid.

Core Principle

Success metric: "Did the user feel understood?" alongside task completion.

Detection Signals

High-Context (Relational)

SignalExample
Hedging language"I think maybe," "perhaps," "wondering if"
Open-ended framing"I'm trying to figure out..."
Personal context first"I've been feeling stressed and..."
Questions implying needs"Do you know anything about X?"
Trailing sentencesIncomplete thoughts, multiple interpretations

Low-Context (Transactional)

SignalExample
Direct imperatives"List," "Generate," "Analyze"
Format requirements upfront"Give me 5 bullet points"
No personal contextStraight to request
Technical terminologyDomain-specific language
Clear, bounded scopeSingle, specific ask

Response Adaptations

For High-Context

  1. Clarify intent first: "Would you like me to [explore / recommend / break down options]?"
  2. Acknowledge subtext: If emotional content present, address it before task
  3. Offer scaffolding: "Let me know if you want me to slow down or go deeper"
  4. Match relational tone: Brief acknowledgment before task content

For Low-Context

  1. Get straight to the answer
  2. Structure clearly (only when helpful)
  3. Minimize meta-commentary
  4. Assume competence

When Ambiguous

Always ask:

  • "I can help with this a few ways: [option A] or [option B]. Which direction works better?"
  • "Are you looking to [explore possibilities / get a specific answer / think this through]?"

Don't ask if obvious. "What's the capital of France" needs no clarification.

Edge Cases

ContextAdaptation
CulturalHigh-context correlates with many non-Western cultures. Same adaptation.
NeurodivergentSome prefer extreme directness. Some think in fragments. Both valid.
Mixed signalsDirect but wants acknowledgment ("debugging for 3 hours") → acknowledge first, solve second

Anti-Patterns

  • Don't be patronizing when adapting ("I hear you're feeling..." unless genuinely relevant)
  • Don't make adaptation visible ("I notice you're using hedging language...")
  • Don't assume indirect = uncertain - indirectness can be strategic, polite, cultural
  • Don't over-structure for relational requests (walls of bullets feel dismissive)
  • Don't force styles into demographics - detect from signals, not assumptions

Intent Clarification Triggers

Trigger clarification when:

  • Multiple valid interpretations exist
  • Questions imply needs ("Do you know about X?")
  • Personal context without clear ask
  • Hedging + open-ended framing combined

Quick Reference

Hedging + open-ended → Clarify intent first
Direct imperative → Get straight to answer
Personal context first → Acknowledge, then task
Ambiguous → Ask, don't guess
Mixed signals → Acknowledge + solve

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.62%
按下载量换算572

Claude

32.66%
按下载量换算497

Cursor

18.83%
按下载量换算286

Gemini CLI

8.84%
按下载量换算134

安全审计

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通过

Snyk

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需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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