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Team Astrologer

Business Operations Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please install @org-mewz99wy/tuanduishenzhirenyuan according to https://skillhub.cn/install/skillhub.md.

About this skill

The Problem

When AI agents move into business-ops workflows, engineers usually need to know whether the same agent can read files, run commands, drive a browser, deliver results to WeCom or Slack, and keep context across tasks. The skill presents this capability surface as a Skill Card, making it easier to review practical limits before deployment.

How It Works

  • Dialogue and structured output: supports multilingual interaction, reasoning, code reading, and structured formats such as JSON, Markdown, and Mermaid.
  • Execution and browsing: includes read, write, and edit file operations, shell command execution, web_fetch page retrieval, and Playwright-based browser automation.
  • Channels and media: can send text, images, and files to WeCom, Telegram, Discord, and Slack, with support for TTS, canvas rendering, and attachment transfer.
  • Collaboration and memory: uses sessions_spawn to launch subagents and maintains context through memory_search, scene_blocks, and related features.

Boundaries

Available capabilities depend on runtime policy, messaging channel access, and MCP server registration. Sandbox mode, timeout controls, and allowlist / denylist settings should be validated against the actual permission model before production use.

Use Cases

  • Fetch a logged-in page, export a PDF, and send a summary to WeCom.
  • Read local spreadsheets, merge them into a Markdown report, and create a deliverable file.
  • Spawn subagents for long parallel tasks, then send follow-up tasks and wait for results.
  • Search long-term memory by topic, then generate a structured review from conversation history.

Best For

  • Automation engineers who need agents to operate logged-in pages and deliver PDFs or screenshots.
  • Business operations staff who need agent outputs synced to WeCom, Slack, or other channels.
  • Agent engineers who need to split long workflows into parallel subagents.
  • Prompt engineers who need topic memory and conversation search to reuse context across tasks.