Agent skill

Md2wechat

by geekjourneyx in geekjourneyx/md2wechat-skill

Convert Markdown to WeChat Official Account HTML. An agent skill from geekjourneyx/md2wechat-skill.

Custom licenceAuto-check passedMedia & Creative

Install Md2wechat

skills CLI
$ npx skills add geekjourneyx/md2wechat-skill --skill md2wechat -a claude-code

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

GitHub CLI
$ gh skill install geekjourneyx/md2wechat-skill md2wechat --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/geekjourneyx/md2wechat-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/md2wechat .claude/skills/md2wechat && 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
md2wechat
GitHub stars
3.7k
Token cost
~3.8k tokens
SKILL.md length
1,877 words
Files
12 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
Custom licence

At a glance

Convert Markdown to WeChat Official Account HTML. An agent skill from geekjourneyx/md2wechat-skill.

  • Works in 4 steps: md2wechat inspect --json → md2wechat preview → md2wechat convert ... → …
  • Wants WeChat article formatting
  • SKILL.md covers Intent Routing, Discovery First, Configuration Boundaries and Article Workflow, plus 7 more sections
  • Needs MD2WECHAT_API_KEY

What it does

Md2wechat is an agent skill from geekjourneyx/md2wechat-skill. Convert Markdown to WeChat Official Account HTML. Use this whenever the user wants WeChat article formatting, article preview, WeChat draft upload, image generation for articles, cover or infographic generation, image-post creation, writer-style drafting, title suggestions, AI trace removal, or current discovery of supported providers, themes, prompts, and layout modules. Also use for unpublished Zhihu, CSDN, Toutiao, or Tencent Cloud Developer Community drafts through a browser. Use for product introductions…

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files (for example `references/sync/csdn.md`, `references/sync/tencent-cloud.md` and `references/sync/toutiao.md`).

It sits in Media & Creative, covering Messaging and chat bots, Image generation and Markdown. It works with WeChat, Tencent Cloud and Model Context Protocol. The repository describes itself as: 面向 AI Agent 的微信公众号创作与发布 CLI:Markdown 排版、AI 配图、预览与草稿创建;支持由浏览器 Agent 保存知乎、CSDN、头条未发布草稿。

When your agent uses it

  • Wants WeChat article formatting
  • Article preview
  • WeChat draft upload
  • Image generation for articles

Example prompts

  • “/md2wechat”

Requirements

  • A credential in MD2WECHAT_API_KEY

Workflow steps

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

  1. md2wechat inspect --json
  2. md2wechat preview
  3. md2wechat convert ...
  4. Add --upload, --draft, --cover, or --cover-media-id only when the user explicitly asks for upload or draft creation.

What it can do on your machine

Read from SKILL.md and the folder at commit fce5fa3. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    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 these keys or tokens, usually read from environment variables:

    • MD2WECHAT_API_KEY

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

Context cost

Md2wechat loads about 3.8k tokens when it runs, and up to ~9.7k if it reads all its reference files. Until then it costs about 154 tokens; SKILL.md has 1,877 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~154
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.7k

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); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,877 words (~3,797 tokens).

“Use this skill to operate the md2wechat CLI. Keep the skill focused on execution decisions. For full command tutorials, installation details, and FAQ-level explanations, refer users to the project docs instead of expanding this runtime protocol.”

— opening of SKILL.md by geekjourneyx, Custom licence
name
md2wechat

Read the full SKILL.md on GitHub

Files

SKILL.md and 11 other files (references) in skills/md2wechat of geekjourneyx/md2wechat-skill.

  • SKILL.md
  • references/sync/csdn.md
  • references/sync/tencent-cloud.md
  • references/sync/toutiao.md
  • references/sync/workflow.md
  • references/sync/zhihu.md
  • references/writing/baidu-baike.md
  • references/writing/forms.md
  • references/writing/platforms.md
  • references/writing/search-strategies.md
  • references/writing/toutiao-baike.md
  • references/writing/workflow.md

Open the folder on GitHubat commit fce5fa3

Compare with similar skills

Md2wechat 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.

Md2wechat compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Md2wechat this skillgeekjourneyx/md2wechat-skill3.7k—~3.8kAutomated safety check: PassCustom licence
Article To Wechat Coverdracohu2025-cloud/draco-skills-collection227—~1.5kAutomated safety check: PassMIT
AI Model WechatTencentCloudBase/CloudBase-AI-Toolkit1.1k1 repos~6.4kAutomated safety check: PassMIT
Bm Mdmiantiao-me/bm.md617—~2.1kAutomated safety check: PassLGPL-3.0
Lingzaoatian-create/lingzao-skill2961 repos~8.8kAutomated safety check: PassMIT
AI Model WebTencentCloudBase/CloudBase-AI-Toolkit1.1k2 repos~6.1kAutomated safety check: NotesMIT

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    227 GitHub stars~1.5k tokensUpdated 22 days ago
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Questions about Md2wechat

What does Md2wechat do?

Convert Markdown to WeChat Official Account HTML. An agent skill from geekjourneyx/md2wechat-skill. Md2wechat is an agent skill from geekjourneyx/md2wechat-skill. Convert Markdown to WeChat Official Account HTML.

When should I use Md2wechat?

Md2wechat fits situations like: wants WeChat article formatting; article preview; weChat draft upload; image generation for articles.

How do I install Md2wechat in Claude Code?

Run `npx skills add geekjourneyx/md2wechat-skill --skill md2wechat -a claude-code`. Or copy the skill folder (skills/md2wechat in geekjourneyx/md2wechat-skill) into .claude/skills/md2wechat in your project. Claude Code loads it when a task matches its description.

How do I install Md2wechat in Codex?

Run `npx skills add geekjourneyx/md2wechat-skill --skill md2wechat -a codex`. Or copy the skill folder (skills/md2wechat in geekjourneyx/md2wechat-skill) into .agents/skills/md2wechat in your project. Codex loads it when a task matches its description.

Can I use Md2wechat 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 geekjourneyx/md2wechat-skill --skill md2wechat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/md2wechat, .gemini/skills/md2wechat, .github/skills/md2wechat and .opencode/skills/md2wechat in your project.

What does Md2wechat need to run?

Going by SKILL.md and its folder, Md2wechat needs credentials named MD2WECHAT_API_KEY. Our summary lists: A credential in MD2WECHAT_API_KEY.

Does Md2wechat 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 Md2wechat 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. Review the folder before installing.

What licence does Md2wechat use?

Md2wechat has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Md2wechat use?

About 3.8k tokens (SKILL.md is roughly 15k 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 5.9k tokens, read only when the agent opens those files.

What are the alternatives to Md2wechat?

Skills that share tags, products or a category with Md2wechat: Article To Wechat Cover (dracohu2025-cloud/draco-skills-collection, 227 stars), AI Model Wechat (TencentCloudBase/CloudBase-AI-Toolkit, 1.1k stars), Bm Md (miantiao-me/bm.md, 617 stars) and Lingzao (atian-create/lingzao-skill, 296 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Md2wechat?

geekjourneyx (a GitHub user) maintains it in geekjourneyx/md2wechat-skill, which has 3,690 GitHub stars. The repository was last updated on September 24, 2026.

Source: geekjourneyx/md2wechat-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.