Beat AI with AI: Build Your Own Claude Skill in 3 Hours to Match Your Writing Style

Author's Workflow

The author explains the end‑to‑end process of turning personal writing habits into a reusable Claude Skill, starting from extracting concrete rules from past articles, packaging them, and letting Claude automatically apply them.

Common Pitfalls

Initial attempts such as simple prompt engineering, template feeding, or manual sentence‑by‑sentence correction all failed: the output remained too stiff, too informal, or structurally inconsistent, leading the author to consider abandoning the idea.

From 0 to 1 in 3 Hours

After a night of trial and error, the author succeeded in three hours by directly teaching the AI the desired style.

Step 1: Extract Rules

Identify the five most‑read articles, then break down each paragraph into concrete constraints:

段落结构要求：
1、每段最多2句话
2、段落间必须空行
3、绝不连续3段以上不空行

Define a banned‑word list to avoid buzzwords:

禁用词库：
1、赋能、降本增效、颠覆式
2、划时代、闭环、打法
3、生态、矩阵、链路

Step 2: Write Skill Documentation

Create skill.yaml to declare triggers and version, place the rule files under knowledge/, and write prompt templates under prompts/. The skill tells Claude exactly how many sentences per paragraph, preferred phrasing (e.g., use "咱们" instead of "我们"), and formatting (bold with **).

Step 3: Debug and Test

Generate ten test articles, inspect paragraph length, word choice, and overall tone. The first five attempts were unsatisfactory, requiring hundreds of adjustments before the output finally matched the author’s style.

Result Comparison

Generic AI :

Open rate: 8%

Average reading time: 45 seconds

Interaction rate: 2%

Feedback: "Feels like AI tone"

Author's Claude Skill :

Open rate: 23% (≈2× increase)

Average reading time: 2 minutes 30 seconds (↑233%)

Interaction rate: 8% (↑300%)

Feedback: "Great article, very personal"

Why Building Your Own Tool Matters

Using off‑the‑shelf AI keeps everyone in the same generic lane. Developing a personal Skill lets the model understand your exact habits, produce unique content that cannot be copied, and eliminates the "AI voice" that many readers dislike.

Five‑Layer Architecture

Layer 1 – Agent Skill (core) : configuration file, knowledge base, and prompt templates.

Layer 2 – Slash Command : manual trigger like /gongzhonghao to start the Skill.

Layer 3 – MCP Integration : connect external tools (e.g., Exa search, sequential thinking, memory management).

Layer 4 – Sub‑Agent Collaboration : chain additional agents such as seo‑optimizer and file‑organizer after article generation.

Layer 5 – Hooks : automatic triggers for post‑processing, Git checks, and publishing validation.

Getting Started in Three Steps

Open Claude Code (install if needed).

State your requirements explicitly, e.g.:

帮我开发一个写作Skill，风格要求是：
1、短句，每句15字内
2、多用"咱们"，少用"我们"
3、禁用词：赋能、闭环、生态

Run the Skill, generate five test articles, refine the rule files, and repeat until the output matches the desired tone.

After a few iterations the author achieved a fully automated workflow where each paragraph, sentence, and metaphor follows his personal style, proving that teaching AI is more powerful than merely prompting it.