Bee Soldiers and Shrimp Generals (Fengbing Xiajiang) for Openclaw

A multi-agent AI team designed to automate industry monitoring, content creation, and trend forecasting with user-adaptive intelligence.

e2e5g
v1.4.0
Mar 1, 2026
0
972
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install bingbing-xiajiang

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 bingbing-xiajiang 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 Bee Soldiers and Shrimp Generals (Fengbing Xiajiang)?

Bee Soldiers and Shrimp Generals is a sophisticated multi-agent orchestration framework designed for comprehensive industry automation. It functions as a virtual workforce, integrating four specialized AI agents—Information Guardian, Content Strategist, Trend Prophet, and Work Ledger—to handle the end-to-end lifecycle of information processing, from raw data collection to actionable reporting.

By leveraging version 1.4 features, the skill introduces deep user adaptation, allowing the system to learn individual preferences for output styles, execution modes, and interaction frequency. It represents a state-of-the-art implementation for users looking to deploy autonomous AI workflows within Openclaw Skills environments, ensuring that technical tasks are handled with minimal manual oversight.

Bee Soldiers and Shrimp Generals (Fengbing Xiajiang) Use Cases

  • Monitoring industry hot spots and emerging trends in finance, healthcare, or technology.
  • Automating high-quality content creation and distribution strategies.
  • Generating daily efficiency reports and financial trend forecasts at scheduled intervals.
  • Streamlining complex multi-step research tasks using parallel agent execution.

How Bee Soldiers and Shrimp Generals (Fengbing Xiajiang) Works

  1. The system performs initial intent recognition and retrieves the user profile to understand interaction habits.
  2. Smart routing determines the optimal execution path—serial, parallel, or skipping steps—based on the task and user preferences.
  3. Proactive perception prepares the required context and memory layers (L0-L4) for the specific industry domain.
  4. Specialized modules execute their designated tasks, followed by a reflection mechanism that evaluates completeness and quality.
  5. Results are logged into the work ledger, the user profile is updated with new interaction data, and an adaptive confirmation prompt is presented.

Bee Soldiers and Shrimp Generals (Fengbing Xiajiang) Setup

To deploy this skill within your Openclaw Skills environment, follow these steps:

  1. Ensure your environment supports the Openclaw Skills framework and TypeScript execution.
  2. Configure your API keys for the underlying LLMs in your environment variables.
  3. Initialize the skill using the following command:
npx openclaw-cli install fengbing-xiajiang
  1. Adjust the MULTI_AGENT_SYSTEM_V1_4 configuration file to enable or disable specific features like reflection or parallel_execution.

Bee Soldiers and Shrimp Generals (Fengbing Xiajiang) Data Schema & Taxonomy

The system organizes data through a hierarchical memory architecture and a detailed user profiling interface.

Layer Scope Retention
L0 Information Guardian 1 Hour (Transient)
L2 Content Strategy 7 Days (Short-term)
L3 Work Ledger Permanent (Archive)
L4 Status Insight 90 Days (Mid-term)

The UserProfile interface tracks:

  • confirmation_habit: Skip rates and decision speeds.
  • output_preference: Detailed vs. concise style balance.
  • execution: Preferred parallel or serial modes.

Bee Soldiers and Shrimp Generals (Fengbing Xiajiang) Advanced Features

  • Reflection Mechanism: Automatically retries tasks up to 3 times based on quality scores for completeness, quality, and usability.
  • Adaptive Confirmation: Dynamically reduces interaction overhead if the user's skip rate exceeds 60%.
  • Predictive Services: Proactively prepares the next logical module's data based on historical transition probabilities.
  • Multi-Layer Memory: Implements a scenario-based memory system (L0-L4) covering duties, sentiments, and long-term goals.
  • Smart Intent Routing: Automatically identifies whether a query requires information acquisition, content creation, or status analysis.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*