Brand Voice

作者 affaan-mef648e01899bMIT275K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库3天前更新

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.

AI 生成的概览

从真实素材构建可复用的写作语气档案,并应用于内容与对外沟通。

功能
该技能引导智能体收集 5 到 20 份有代表性的写作样本,例如帖子、文章、发布说明或网站文案,并提取节奏、句长、大小写习惯、提问方式等风格特征。它会按照 references/voice-profile-schema.md 中的结构,生成可供下游写作与对外沟通流程直接复用的 VOICE PROFILE 区块。技能还列出了应避免的通用 AI 写作套路,以及在同一会话中复用该档案的规则。
适用场景
当用户希望内容、对外沟通或社交帖子体现特定作者或品牌的语气时,或需要一套可复用的风格体系而非一次性模仿时使用。它也适合在 X、LinkedIn、电子邮件或发布帖等不同渠道之间统一已知语气。
运行要求
不附带脚本,仅为说明性指令。它引用一个结构定义文件和一个智能体配置文件。通过 x-api 工具访问 X 实时内容是可选步骤;只有在用户要求持久保存档案时,才需要工作区或记忆存储位置。

Brand Voice

Build a durable voice profile from real source material, then use that profile everywhere instead of re-deriving style from scratch or defaulting to generic AI copy.

When to Activate

  • the user wants content or outreach in a specific voice
  • writing for X, LinkedIn, email, launch posts, threads, or product updates
  • adapting a known author's tone across channels
  • the existing content lane needs a reusable style system instead of one-off mimicry

Source Priority

Use the strongest real source set available, in this order:

  1. recent original X posts and threads
  2. articles, essays, memos, launch notes, or newsletters
  3. real outbound emails or DMs that worked
  4. product docs, changelogs, README framing, and site copy

Do not use generic platform exemplars as source material.

Collection Workflow

  1. Gather 5 to 20 representative samples when available.
  2. Prefer recent material over old material unless the user says the older writing is more canonical.
  3. Separate "public launch voice" from "private working voice" if the source set clearly splits.
  4. If live X access is available, use x-api to pull recent original posts before drafting.
  5. If site copy matters, include the current ECC landing page and repo/plugin framing.

What to Extract

  • rhythm and sentence length
  • compression vs explanation
  • capitalization norms
  • parenthetical use
  • question frequency and purpose
  • how sharply claims are made
  • how often numbers, mechanisms, or receipts show up
  • how transitions work
  • what the author never does

Output Contract

Produce a reusable VOICE PROFILE block that downstream skills can consume directly. Use the schema in references/voice-profile-schema.md [blocked].

Keep the profile structured and short enough to reuse in session context. The point is not literary criticism. The point is operational reuse.

Affaan / ECC Defaults

If the user wants Affaan / ECC voice and live sources are thin, start here unless newer source material overrides it:

  • direct, compressed, concrete
  • specifics, mechanisms, receipts, and numbers beat adjectives
  • parentheticals are for qualification, narrowing, or over-clarification
  • capitalization is conventional unless there is a real reason to break it
  • questions are rare and should not be used as bait
  • tone can be sharp, blunt, skeptical, or dry
  • transitions should feel earned, not smoothed over

Hard Bans

Delete and rewrite any of these:

  • fake curiosity hooks
  • "not X, just Y"
  • "no fluff"
  • forced lowercase
  • LinkedIn thought-leader cadence
  • bait questions
  • "Excited to share"
  • generic founder-journey filler
  • corny parentheticals

Persistence Rules

  • Reuse the latest confirmed VOICE PROFILE across related tasks in the same session.
  • If the user asks for a durable artifact, save the profile in the requested workspace location or memory surface.
  • Do not create repo-tracked files that store personal voice fingerprints unless the user explicitly asks for that.

Downstream Use

Use this skill before or inside:

  • content-engine
  • crosspost
  • lead-intelligence
  • article or launch writing
  • cold or warm outbound across X, LinkedIn, and email

If another skill already has a partial voice capture section, this skill is the canonical source of truth.

来源与署名

来源:affaan-m/ecc位于.agents/skills/brand-voice提交ef648e0

许可证: MIT

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架