One Click Posting for Openclaw

A professional content distribution pipeline that automates packaging, quality checks, and multi-platform posting for social media.

lanyasheng
v1.2.0
Mar 7, 2026
0
869
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install one-click-posting

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install one-click-posting using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is One Click Posting?

One Click Posting is a robust workflow designed to turn manual social media management into a standardized industrial pipeline. It allows users to package a single piece of content for simultaneous release on platforms like Xiaohongshu, X (Twitter), and Zhihu while maintaining strict quality controls. By leveraging Openclaw Skills, this tool ensures every post undergoes a mandatory pre-flight check and requires explicit human confirmation before going live, preventing accidental or low-quality AI-generated output from reaching your audience.

The skill excels at handling platform-specific nuances, such as Xiaohongshu's unique cover image requirements and Zhihu's content structure. It acts as a bridge between raw drafts and polished, archived social media entries, complete with automated screenshot evidence and data archiving for long-term performance tracking.

One Click Posting Use Cases

  • Synchronizing marketing updates across Xiaohongshu, X, and Zhihu with a single command.
  • Automating the creation of platform-specific cover images using text-based templates.
  • Implementing a human-in-the-loop approval process for AI-generated social media content.
  • Maintaining a structured archive of all social media activity including links and engagement metrics.

How One Click Posting Works

  1. Input Gathering: The skill collects essential data including titles, markdown body files, platform targets, and tags.
  2. Packet Generation: It executes a build script to create a standardized publish-packet.json containing all metadata.
  3. Preflight Check: A mandatory validation script runs to verify content length, image paths, and source traceability.
  4. Quality Gate: The system checks for AI-generated artifacts and waits for an explicit user confirmation (e.g., Boss Confirmed).
  5. Sequential Execution: Content is posted to platforms in a prioritized order (Xiaohongshu first, followed by X and Zhihu).
  6. Feedback & Archiving: The skill captures screenshots, note IDs, and initial metrics, saving them into a daily knowledge base.

One Click Posting Setup

To get started with this skill within Openclaw Skills, follow these steps:

  1. Prepare your content in a markdown file.
  2. Generate the publication packet:
python3 skills/one-click-posting/scripts/build_publish_packet.py \
  --title "Your Title" \
  --body-file "/path/to/content.md" \
  --platform xiaohongshu --platform x \
  --cover-mode xhs_text \
  --tags "AI,Productivity,Workflow"
  1. Execute the mandatory preflight verification:
python3 skills/one-click-posting/scripts/run_preflight.py \
  --packet "/path/to/publish-packet.json" \
  --require-approval \
  --write-back

One Click Posting Data Schema & Taxonomy

The skill organizes its operations using a structured data model to ensure traceability:

File/Path Description Type
publish-packet.json Central configuration for a specific post execution JSON
knowledge/daily/YYYY-MM-DD/ Permanent storage for screenshots and published assets Directory
memory/YYYY-MM-DD.md Daily log of all posting activities and platform outcomes Markdown
cover_mode Determines if covers are generated from text (xhs_text) or uploaded (upload) Enum

One Click Posting Advanced Features

  • Integrated De-AI Engine: Automatically scans and prompts for removal of common AI-generated language patterns.
  • Smart Cover Generation: Specialized SOP for Xiaohongshu to generate high-conversion text-based covers within the platform.
  • Automated Evidence Collection: Captures post-publication screenshots and returns unique Note IDs for verification.
  • Multi-Platform Prioritization: Automatically handles platform-specific bottlenecks by executing in a optimized sequence (Xiaohongshu -> X -> Zhihu).

SKILL.md


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