Brand Voice

作者 affaan-mef648e01899bMIT275K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫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 產生的概覽

從真實素材建立可重複使用的寫作語氣檔案,並套用於內容與對外溝通。

功能
這個技能引導代理蒐集 5 到 20 份具代表性的寫作樣本,例如貼文、文章、發布說明或網站文案,並擷取節奏、句長、大小寫習慣、提問方式等風格特徵。它會依照 references/voice-profile-schema.md 的結構,產出可供下游寫作與對外溝通流程直接重複使用的 VOICE PROFILE 區塊。技能也列出應避免的通用 AI 寫作套路,以及在同一工作階段中重複使用該檔案的規則。
適用情境
當使用者希望內容、對外溝通或社群貼文呈現特定作者或品牌的語氣時,或需要一套可重複使用的風格系統而非一次性模仿時使用。它也適合在 X、LinkedIn、電子郵件或發布貼文等不同管道之間統一一種已知語氣。
執行需求
不隨附指令碼,僅為說明性指示。它引用一份結構定義檔案與一份代理設定檔。透過 x-api 工具存取 X 即時內容屬於選用步驟;只有在使用者要求持久保存檔案時,才需要工作區或記憶儲存位置。

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.

來源與署名

來源:affaan-m/ecc位於.agents/skills/brand-voice提交ef648e0

授權條款: MIT

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

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