Communitygithub.com

品牌语气

从真实的帖子、文章、发布说明、文档或网站文案中构建来源驱动的写作风格档案,然后在内容、外联和社交工作流中重复使用该档案。当用户希望保持语气一致且避免通用AI写作套路时使用。

品牌语气 是什么?

品牌语气技能旨在通过分析用户提供的真实源材料(如社交媒体帖子、文章、邮件或产品文档)来构建一个可重复使用的写作风格档案。该档案捕捉了节奏、句子长度、大小写规范、括号使用等语言特征,使得AI能够以一致的、非通用的语气生成内容。它适用于X(Twitter)、LinkedIn、电子邮件等多种平台,并支持内容引擎、跨平台发布和潜在客户挖掘等相关技能。技能提供了明确的收集工作流、输出格式(VOICE PROFILE块)以及硬性禁止的写作套路(如虚假的好奇心钩子、特定陈词滥调),确保生成内容的质量和真实性。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/brand-voice

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

品牌语气 是做什么的?

从真实源材料构建持久的语气档案,然后在各处使用该档案,无需每次都重新推导风格或默认采用通用的AI文案。

何时激活

  • 用户希望内容或外联具有特定语气
  • 为 X、LinkedIn、电子邮件、发布帖子、讨论串或产品更新写作
  • 在多个渠道沿用已知作者的语调
  • 现有内容通道需要一个可复用的风格系统,而非一次性模仿

源材料优先级

使用可用的最强真实源材料集,顺序如下:

  1. 近期的原创 X 帖子和讨论串
  2. 文章、论文、备忘录、发布说明或新闻简报
  3. 确实奏效的真实外发邮件或私信
  4. 产品文档、变更日志、README 框架和网站文案

请勿使用通用平台范例作为源材料。

收集工作流

  1. 尽可能收集 5 到 20 个代表性样本。
  2. 倾向于近期材料,除非用户表示较旧的写作更典型。
  3. 如果源材料明显分为两类,将“公开发布语气”与“私人工作语气”分开。
  4. 如果可以访问实时 X,在起草前使用 x-api 拉取近期的原创帖子。
  5. 如果网站文案很重要,包含当前的 ECC 着陆页以及仓库/插件描述。

需要提取的内容

  • 节奏和句子长度
  • 压缩 vs 解释
  • 大小写规范
  • 括号使用
  • 问题频率和目的
  • 主张的尖锐程度
  • 数字、机制或凭证出现的频率
  • 过渡方式
  • 作者永远不做什么

输出约定

生成一个可复用的 VOICE PROFILE 块,下游技能可以直接使用。使用 references/voice-profile-schema.md 中的模式。

保持档案结构清晰且足够简短,以便在会话上下文中复用。重点不在于文学批评,而在于操作层面的复用。

Affaan / ECC 默认值

如果用户想要 Affaan / ECC 语气且实时源材料稀少,则从这里开始,除非更新的源材料覆盖了它:

  • 直接、压缩、具体
  • 具体细节、机制、凭证和数字优于形容词
  • 括号用于限定、缩小范围或过度澄清
  • 大小写遵循惯例,除非有充分的理由打破它
  • 问题很少出现,且不应作为诱饵使用
  • 语气可以尖锐、直率、怀疑或干练
  • 过渡应显得理由充分,而非刻意平滑

硬性禁止

删除并重写以下任何内容:

  • 虚假的好奇心钩子
  • “不是 X,只是 Y”
  • “无废话”
  • 强制小写
  • LinkedIn 意见领袖的节奏
  • 诱饵问题
  • “激动地分享”
  • 通用的创始人历程填充内容
  • 老套的括号

持久化规则

  • 在同一个会话中,尽可能跨相关任务复用最新的已确认 VOICE PROFILE。
  • 如果用户要求持久化工件,将档案保存到请求的工作区位置或记忆表面。
  • 除非用户明确要求,否则不要创建跟踪个人语音指纹的仓库文件。

下游使用

在以下技能之前或内部使用此技能:

  • content-engine
  • crosspost
  • lead-intelligence
  • 文章或发布写作
  • 在 X、LinkedIn 和电子邮件上的冷启动或温暖外联

如果其他技能已有部分语气捕获部分,则以本技能作为权威来源。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

相关技能