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文章寫作

撰寫文章、指南、部落格貼文、教學、電子報及其他長篇內容,並能從提供的範例或品牌指導中衍生出獨特的語氣。適合使用者需要長於一段的潤飾文字內容,尤其是當語氣一致性、結構與可信度至關重要時。

文章寫作 是什麼?

這項技能旨在幫助開發者或AI代理使用者撰寫具有真人觀點的長篇內容,避免聽起來像一般語言模型生成的平滑無味文字。它適用於起草部落格貼文、文章、指南、教學或電子報,也能將筆記、逐字稿或研究資料轉化為精煉文章,並能比對創辦人、經營者或品牌的特定語氣風格。技能支援多種平台(如Claude Code、Cursor等),透過一系列核心規則確保內容具體、以證據為導向,並禁止使用陳腔濫調(如「在今日快速變遷的環境中」)或虛假可信度。寫作流程強調先確定受眾與目的,然後建立硬性大綱,並在每個段落開頭呈現具體證據或範例。品質把關步驟包括確認事實有所本、語氣符合範例、每段皆有新資訊,以及格式符合預定媒體(如技術指南需以程式碼、指令或截圖開頭,論文則從張力或矛盾切入)。整體而言,此技能透過嚴謹的結構與語氣控制,產生可信、實用且不易被識別為AI生成的內容。

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

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

文章寫作 是做什麼的?

撰寫聽起來像是真實人物、帶有觀點的長篇內容,而非語言模型平滑化後的糊狀產物。

何時啟動

  • 起草部落格貼文、文章、發布貼文、指南、教學或電子報
  • 將筆記、逐字稿或研究資料轉化為精煉文章
  • 根據範例比對現有創辦人、經營者或品牌語氣
  • 收緊已完成的長篇文案中的結構、節奏與證據

核心規則

  1. 用具體事物開頭:成品、範例、產出、軼事、數字、螢幕截圖或程式碼。
  2. 先舉例再說明,而非反過來。
  3. 保持句子簡潔,除非來源語氣刻意追求鋪張。
  4. 使用證據而非形容詞。
  5. 絕不捏造事實、可信度或客戶證據。

語氣處理

如果使用者想要特定語氣,先執行 brand-voice 並重複使用其產生的 VOICE PROFILE。 除非使用者明確要求,否則不要在此重複第二次風格分析流程。

如果沒有提供語氣參考,預設為敏銳的經營者語氣:具體、不濫情、實用。

禁用模式

刪除並改寫以下任何一項:

  • 「在今日快速變遷的環境中」
  • 「遊戲規則改變者」、「尖端」、「革命性」
  • 「這就是為什麼這很重要」作為獨立轉折句
  • 偽裝的脆弱敘事弧線
  • 僅為提高互動率而添加的結尾提問
  • 不推動論點的自傳填充內容
  • 延遲切入重點的通用AI開場白

寫作流程

  1. 釐清受眾與目的。
  2. 建立硬性大綱,每個段落有一個任務。
  3. 以證據、成品、衝突或範例開始段落。
  4. 只有在下一句話值得佔用篇幅時才擴展。
  5. 刪除任何聽起來模板化、過度解釋或自誇的內容。

結構指導

技術指南

  • 以讀者將獲得的成果開頭
  • 在主要段落中使用程式碼、指令、螢幕截圖或具體輸出
  • 以可操作的總結收尾,而非軟性回顧

論文/評論

  • 以衝突、矛盾或特定觀察開始
  • 每個段落只保留一個論點主線
  • 讓觀點回應證據

電子報

  • 確保第一版畫面就開始做實質工作
  • 不要在前段塞入日記式的填充內容
  • 僅在段落標籤有助於提升掃讀性時才使用

品質把關

在交付之前:

  • 事實陳述有根據提供的來源
  • 通用AI過渡句已被刪除
  • 語氣符合提供的範例或已確認的 VOICE PROFILE
  • 每個段落都增添了新內容
  • 格式符合目標媒體

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.

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