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brand-voice

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.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-agents-skills-brand-voice-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name brand-voice description 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. 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: recent original X posts and threads articles, essays, memos, launch notes, or newsletters real outbound emails or DMs that worked product docs, changelogs, README framing, and site copy Do not use generic platform exemplars as source material. Collection Workflow Gather 5 to 20 representative samples when available. Prefer recent material over old material unless the user says the older writing is more canonical. Separate "public launch voice" from "private working voice" if the source set clearly splits. If live X access is available, use x-api to pull recent original posts before drafting. 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 . 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.
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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