wechat-studio
Launch a local WeChat article workbench for Markdown import, WeChat HTML preview, theme tuning, image selection, and optional draft push. Use when Codex needs a browser-based preview and manual QA layer before publishing.
Best use case
wechat-studio is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Launch a local WeChat article workbench for Markdown import, WeChat HTML preview, theme tuning, image selection, and optional draft push. Use when Codex needs a browser-based preview and manual QA layer before publishing.
Teams using wechat-studio should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/content-system-wechat-studio/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How wechat-studio Compares
| Feature / Agent | wechat-studio | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Launch a local WeChat article workbench for Markdown import, WeChat HTML preview, theme tuning, image selection, and optional draft push. Use when Codex needs a browser-based preview and manual QA layer before publishing.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# WeChat Studio Use `wechat-studio` as the manual workbench between generated article assets and final publishing. On ClawHub, this skill is published as `content-system-wechat-studio`. ## Quick Start Install the shared Python dependencies and the workbench frontend dependency: ```bash .venv/bin/pip install -r requirements.txt cd skills/wechat-studio/frontend && npm install ``` Start the local server: ```bash python3 skills/wechat-studio/frontend/server.py ``` Open the workbench in the browser: ```text http://127.0.0.1:4173 ``` The image defaults shown in the settings page should reflect the adjacent `generate-image` runtime: ```text provider: openai api base: https://new.suxi.ai/v1 model: nano-nx ``` ## Use This Skill When - You need a local WeChat preview before publishing - You want to import Markdown into a reusable article workspace - You want to adjust theme, typography, and layout manually - You need to review cover images or inline image slots - You want to push a checked article into the WeChat draft box ## Default Workflow 1. Start the server and open the local workbench. 2. Import a Markdown article or switch to an existing article workspace. 3. Review the generated WeChat preview and article metadata. 4. Tune theme, typography, cover, and inline images. 5. Push the final checked version to the WeChat draft box if needed. Use the settings page to distinguish: - configured image values from the current `md2wechat` setup - effective image values that `generate-image` actually injects at runtime ## Related Skills - `wechat-formatter` provides the WeChat HTML render step - `generate-image` provides the article companion images - `case-writer-hybrid` and `humanizer-zh` typically feed the upstream article draft ## Notes - This is a workbench skill, not a pure one-shot executor - Draft push depends on the local WeChat publishing configuration already being available - Article workspaces live under `skills/wechat-studio/content/articles/` - Users with an existing 香蕉制作平台 can use it directly - Users without one can open [job.suxi.ai](https://job.suxi.ai/), generate an `SK`, place it into the token field, and log in
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wechat-monitor
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wechat-auto-publishing-complete
Use this skill to fully reproduce and operate a local end-to-end WeChat Official Account publishing workflow: prepare the environment, validate dependencies, configure non-sensitive placeholders for credentials, gather source material, draft articles, prepare cover and body images, assemble a WeChat-ready Markdown package, publish to draft, optionally submit for formal publication, poll status, archive outputs, and attach scheduling or alerting. Use whenever the user wants a complete reproducible公众号自动发文 skill with environment setup, templates, runbooks, and execution scaffolding, while keeping all secrets and personal account details outside the skill package. Key real-world findings: freepublish does not always behave like manual platform publishing for homepage visibility, production mode should often default to draft-only, image files must be validated by real format rather than extension alone, and multi-account deployments should use isolated directories.
aws-wechat-article-review
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aws-wechat-article-publish
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aws-wechat-article-main
管理微信公众号从选题到发布的完整内容的固定流程,路由到各子能力。任何新任务执行时必须严格按这个流程顺序推进,选题 → 写稿 → 审稿(内容审) → 排版 → 配图 → 审稿(终审) →发布 ,且每一步完成是进入下一步的前提。当用户提到「公众号运营」「自动运营」「发篇文章」「内容规划」「怎么运营」「一条龙」「完整流程」「从头做」「帮我发一篇」「今天发什么」或需要了解整体流程时使用。