Agent skill

Wechat Style Profiler

by gainubi in gainubi/wechat-skills

面向公众号作者的文风 DNA 梳理技能。用于从 3-10 篇参考文章中建立可复用的风格画像,输出 14 维分析、标点符号偏好、分块习惯、段落配方、叙述方法体系、内容推进方式和默认 DNA 文件,并通过用户校准确保画像可直接给写稿技能调用。

No licenceAuto-check passedProductivity & Automation

Install Wechat Style Profiler

skills CLI
$ npx skills add gainubi/wechat-skills --skill wechat-style-profiler -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gainubi/wechat-skills wechat-style-profiler --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gainubi/wechat-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/wechat-style-profiler .claude/skills/wechat-style-profiler && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
wechat-style-profiler
GitHub stars
170
Used in
1 other repo
Token cost
~458 tokens
SKILL.md length
144 words
Files
9 (incl. scripts, references)
Skills in repo
7
Repo updated
First seen
Licence
None found

At a glance

面向公众号作者的文风 DNA 梳理技能。用于从 3-10 篇参考文章中建立可复用的风格画像,输出 14 维分析、标点符号偏好、分块习惯、段落配方、叙述方法体系、内容推进方式和默认 DNA 文件,并通过用户校准确保画像可直接给写稿技能调用。

  • Works in 4 steps: 作者名(必填) → 平台类型(公众号,必填) → 参考文章(至少 3 篇,推荐 5-10 篇) → …
  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 目标, 输入要求, 工作流 and 用户校准规则, plus 8 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Wechat Style Profiler is an agent skill from gainubi/wechat-skills. 面向公众号作者的文风 DNA 梳理技能。用于从 3-10 篇参考文章中建立可复用的风格画像,输出 14 维分析、标点符号偏好、分块习惯、段落配方、叙述方法体系、内容推进方式和默认 DNA 文件,并通过用户校准确保画像可直接给写稿技能调用。

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/calibration-checklist.md` and `references/style-14d-framework.md`).

It sits in Productivity & Automation, covering Messaging and chat bots and Performance optimization. It works with WeChat.

When your agent uses it

  • Tasks that involve Messaging and chat bots
  • Tasks that involve Performance optimization

Example prompts

  • “/wechat-style-profiler”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 作者名(必填)
  2. 平台类型(公众号,必填)
  3. 参考文章(至少 3 篇,推荐 5-10 篇)
  4. 文章路径(可选)

What it can do on your machine

Read from SKILL.md and the folder at commit 0a5a3cc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wechat Style Profiler loads about 458 tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 35 tokens; SKILL.md has 144 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~458
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 144 words (~458 tokens).

name
wechat-style-profiler

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (scripts, references) in wechat-style-profiler of gainubi/wechat-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/calibration-checklist.md
  • references/style-14d-framework.md
  • references/style-dimensions.md
  • references/style-dna-default-template.md
  • references/style-dna-rules.md
  • references/style-profile-template.md
  • scripts/build_style_profile.py

Open the folder on GitHubat commit 0a5a3cc

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gainubi/wechat-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Wechat Style Profiler next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wechat Style Profiler compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wechat Style Profiler this skillgainubi/wechat-skills1701 repos~458Automated safety check: PassNone
Wechat Article FormatterBND-1/wechat_article_skills317—~1.5kAutomated safety check: NotesNone
Wechat FormatterJianing1117/jianing-skills329—~4.5kAutomated safety check: PassNone
Wechat Article Formatterhuangserva/servasyy_skills167—~688Automated safety check: NotesNone
Miniprogram Developmentaiskillstore/marketplace430—~2.5kAutomated safety check: PassNone
She Love Me863401402/she-love-me9251 repos~1.3kAutomated safety check: PassMIT

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Works with

Questions about Wechat Style Profiler

What does Wechat Style Profiler do?

面向公众号作者的文风 DNA 梳理技能。用于从 3-10 篇参考文章中建立可复用的风格画像,输出 14 维分析、标点符号偏好、分块习惯、段落配方、叙述方法体系、内容推进方式和默认 DNA 文件,并通过用户校准确保画像可直接给写稿技能调用。. Wechat Style Profiler is an agent skill from gainubi/wechat-skills.

When should I use Wechat Style Profiler?

Wechat Style Profiler fits situations like: tasks that involve Messaging and chat bots; tasks that involve Performance optimization.

How do I install Wechat Style Profiler in Claude Code?

Run `npx skills add gainubi/wechat-skills --skill wechat-style-profiler -a claude-code`. Or copy the skill folder (wechat-style-profiler in gainubi/wechat-skills) into .claude/skills/wechat-style-profiler in your project. Claude Code loads it when a task matches its description.

How do I install Wechat Style Profiler in Codex?

Run `npx skills add gainubi/wechat-skills --skill wechat-style-profiler -a codex`. Or copy the skill folder (wechat-style-profiler in gainubi/wechat-skills) into .agents/skills/wechat-style-profiler in your project. Codex loads it when a task matches its description.

Can I use Wechat Style Profiler in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gainubi/wechat-skills --skill wechat-style-profiler -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wechat-style-profiler, .gemini/skills/wechat-style-profiler, .github/skills/wechat-style-profiler and .opencode/skills/wechat-style-profiler in your project.

What does Wechat Style Profiler need to run?

Going by SKILL.md and its folder, Wechat Style Profiler needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Wechat Style Profiler access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Wechat Style Profiler safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Wechat Style Profiler use?

No licence was found for Wechat Style Profiler or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Wechat Style Profiler use?

About 458 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.8k tokens, read only when the agent opens those files.

What are the alternatives to Wechat Style Profiler?

Skills that share tags, products or a category with Wechat Style Profiler: Wechat Article Formatter (BND-1/wechat_article_skills, 317 stars), Wechat Formatter (Jianing1117/jianing-skills, 329 stars), Wechat Article Formatter (huangserva/servasyy_skills, 167 stars) and Miniprogram Development (aiskillstore/marketplace, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wechat Style Profiler?

gainubi (a GitHub user) maintains it in gainubi/wechat-skills, which has 170 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on May 21, 2026.

Source: gainubi/wechat-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.