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OpenCLI Agent

AI Agent Updated 2026.08.30

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To install this skill into the AI assistant, please refer to https://skillhub.cn/install/skillhub.md to install @user_b733a8f4/opencli-agent.

About this skill

The Specific Problem

In development or operations, frequent interaction with multiple web platforms is common—such as scraping social media, posting content, or monitoring trends. Traditional approaches require handling API authentication, command formats, and session management separately for each platform, leading to repetitive work and potential exposure of credentials like passwords or API keys. Automation becomes even harder for sites without official APIs.

How the Skill Works

Core Capabilities

This skill leverages the opencli tool to map natural language instructions into concrete command-line operations, covering 70+ websites and services including Twitter/X, Reddit, Bilibili, and Xiaohongshu. It reuses existing Chrome browser sessions, bypassing direct authentication flows.

Key Steps

  • Parse Intent: Extracts the platform (e.g., twitter), action (e.g., post or search), and parameters (e.g., content or limits) from user requests.
  • Map to Commands: Constructs opencli commands based on parsing, such as opencli twitter post "Hello World". Command references can be found in references/command_reference.md.
  • Execute and Feedback: Runs commands via the terminal, with output formatted as tables by default. Use -f json for structured data. Error messages suggest fixes, like "Please log in to Twitter in Chrome first."

Applicable Boundaries and Considerations

  • Environmental Dependencies: Requires Node.js (>= 20.0.0) and a Chrome browser extension. Errors occur if the extension is disconnected or Chrome is not running.
  • Session Constraints: Target websites must be logged in within Chrome; otherwise, commands may return unauthorized or empty data.
  • Command Coverage: Not all platforms support identical actions—some may only allow searching, not posting. Run opencli --help to see available commands.
  • Output Control: Use global options like --limit to restrict result counts or -v for debug mode. For data retrieval, -f json facilitates further processing.

Use Cases

  • Batch posting tweets to Twitter via natural language instructions, reusing browser sessions without writing CLI commands or handling API keys.
  • Searching and downloading posts or video data from Reddit or Bilibili on specific topics, automatically formatting output to JSON or CSV for analysis.
  • Monitoring trending topics on Xiaohongshu or Zhihu, periodically scraping latest content and generating summary reports.
  • Automating website interaction workflows, such as simulating user login and actions to validate functionality.

Best For

  • Social media managers: Need to manage multiple accounts across platforms, batch-post content, and monitor engagement data.
  • Data analysts: Aim to quickly collect public web data (e.g., trends, posts) for analysis without manual scraping development.
  • Development test engineers: Testing web application user interaction workflows, requiring automated simulation and result validation.
  • Content creators: Synchronizing works across multiple platforms (e.g., Bilibili, Xiaohongshu), seeking simplified processes.