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jrnonr

Content Adaptation for Xiaohongshu, Douyin, Bilibili, WeChat

by JRnonr · GitHub ↗ · v3.0.3 · MIT-0
cross-platform ✓ Security Clean
193
Downloads
1
Stars
0
Active Installs
6
Versions
Install in OpenClaw
/install viral-note-distributor
Description
写完一篇内容,想要发到小红书、抖音、B站、公众号还要分别适配?通过渐进式确认流程,帮助你快速生成多平台适配文案,确保每个平台的内容都符合字数和风格规范。触发词:多平台分发、发到XX平台。
Usage Guidance
This skill appears internally consistent and low‑risk: it only generates platform‑specific copy, reads the included style/hook reference files, and formats outputs. Before using: (1) do not paste secrets or private credentials into the content you want adapted — generated prompts (especially cover image prompts) could be sent to third‑party image services if you choose to use them; (2) note the skill does not auto‑post to platforms (no API credentials requested) — if you want posting automation, expect additional env vars and re‑review those for proportionality; (3) review the provided references and sample outputs to ensure style/tone and hashtag behaviour meet your expectations; (4) if you enable cover image generation, confirm what external image service you use and its privacy/credential implications.
Capability Analysis
Type: OpenClaw Skill Name: viral-note-distributor Version: 3.0.3 The 'viral-note-distributor' skill is a legitimate content adaptation tool designed to help users reformat text for social media platforms like Xiaohongshu and Douyin. The Python script 'scripts/format_output.py' is a safe utility for formatting JSON data into human-readable text, and the agent instructions in 'SKILL.md' and 'agents/master.md' define a structured, multi-step confirmation workflow without any signs of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
Name/description (multi‑platform copy adaptation) match the included SKILL.md, agent templates, style/hook references, and the small formatting script. There are no unexpected required binaries, env vars, or config paths that would be unrelated to content generation.
Instruction Scope
Runtime instructions describe a progressive two‑round confirmation flow, per‑platform generation, and validation steps. The agents read local reference files (platform styles, hooks, cover guide) and user input; they do not instruct reading system files, environment variables, or transmitting data to unknown endpoints. The only external interaction noted is an example suggestion to pass cover_image_prompt to an image generation tool (DALL‑E/Stable Diffusion) — this is optional and described as a separate tool.
Install Mechanism
No install spec; this is instruction‑first with one small helper script (format_output.py) used for formatting JSON results. There are no downloads, package installs, or archive extracts in the skill bundle.
Credentials
The skill requires no environment variables or credentials. References to external image generators are examples only and would require separate credentials if the user chooses to use them; the skill itself does not request those.
Persistence & Privilege
Skill flags are default (always: false, user-invocable true). There is no code that writes to other skills' configs or requests permanent presence or elevated privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install viral-note-distributor
  3. After installation, invoke the skill by name or use /viral-note-distributor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.0.3
- Description updated to remove English text and streamline trigger word instructions. - Version number incremented from 3.0.0 to 3.0.1 in SKILL.md. - No workflow or logic changes were made; documentation and metadata only.
v3.0.2
- Updated the skill description to English for improved clarity and global understanding. - No changes to workflow, logic, or features—documentation update only.
v3.0.1
更新描述:双语版本,中文保留小红书/抖音/B站/公众号,英文改写平台官方名称以提升搜索命中
v3.0.0
v3: 合并SKILL.md与WORKFLOW.md,优化输出原则,更新描述
v2.0.1
v2.0.1: 上下文渐进式披露v2、focus字段、JSON输出边界明确
v1.0.0
viral-note-distributor 1.0.0 初版发布 - 实现用户意图识别与平台匹配,支持单平台和多平台内容分发。 - 支持对碎片化或不结构化输入的 Query 重写,自动归纳关键信息点。 - 支持根据用户需求,自动生成小红书、抖音、B站、公众号等指定平台内容。 - 提供封面图生成提示词(开启 --with-cover 时)。 - 明确子 Agent 并行流程及适配输出格式,各平台内容自动适配字数、标签等要求。 - 附带爆款钩子库、平台写作规范及封面图指南参考文档。
Metadata
Slug viral-note-distributor
Version 3.0.3
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 6
Frequently Asked Questions

What is Content Adaptation for Xiaohongshu, Douyin, Bilibili, WeChat?

写完一篇内容,想要发到小红书、抖音、B站、公众号还要分别适配?通过渐进式确认流程,帮助你快速生成多平台适配文案,确保每个平台的内容都符合字数和风格规范。触发词:多平台分发、发到XX平台。 It is an AI Agent Skill for Claude Code / OpenClaw, with 193 downloads so far.

How do I install Content Adaptation for Xiaohongshu, Douyin, Bilibili, WeChat?

Run "/install viral-note-distributor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Content Adaptation for Xiaohongshu, Douyin, Bilibili, WeChat free?

Yes, Content Adaptation for Xiaohongshu, Douyin, Bilibili, WeChat is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Content Adaptation for Xiaohongshu, Douyin, Bilibili, WeChat support?

Content Adaptation for Xiaohongshu, Douyin, Bilibili, WeChat is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Content Adaptation for Xiaohongshu, Douyin, Bilibili, WeChat?

It is built and maintained by JRnonr (@jrnonr); the current version is v3.0.3.

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