An enhanced self-improving agent skill for OpenClaw optimized for domestic deployment with robust memory and workflow management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xiaohua-self-improving
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install xiaohua-self-improving 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 Xiaohua Self-Improving Agent (HuaNiu Enhanced)?
Xiaohua Self-Improving is an advanced fork of the self-improving-agent, specifically tailored for the OpenClaw ecosystem and optimized for domestic development environments. It focuses on creating a persistent loop of learning by integrating technical logs, error tracking, and long-term memory into a cohesive intelligence system. By leveraging local models and domestic search APIs like Baidu Qianfan, it ensures high performance without geographical network constraints.
This skill is a cornerstone for developers using Openclaw Skills who want their agents to become smarter with every interaction. It implements a rigorous Look-Think-Find-Do workflow that transforms raw interaction data into structured organizational knowledge, ensuring that the agent's behavior and tool usage improve over time.
Xiaohua Self-Improving Agent (HuaNiu Enhanced) Use Cases
- Automating technical error logging and resolution tracking.
- Synchronizing local agent memory with long-term team knowledge bases.
- Developing AI workflows optimized for domestic China infrastructure.
- Implementing self-correcting context window management for high-reliability deployments.
- Managing multi-agent coordination through shared SOUL and TOOLS definitions.
How Xiaohua Self-Improving Agent (HuaNiu Enhanced) Works
- The agent scans the workspace environment, including WORKFLOW_AUTO.md and HEARTBEAT.md, to understand current state and user sentiment.
- It analyzes the intent and priority of the task, matching it against defined persona guidelines in SOUL.md.
- The system searches MEMORY.md or domestic APIs like Baidu Search to gather necessary context and avoid repeating past errors.
- Tasks are executed, and results are recorded in the .learnings directory for immediate feedback.
- Validated learnings are promoted from LEARNINGS.md to MEMORY.md to ensure long-term intelligence growth across sessions.
Xiaohua Self-Improving Agent (HuaNiu Enhanced) Setup
To install the skill, use the following command:
npx clawhub install xiaohua-self-improving
Ensure your OpenClaw gateway is configured to point to ~/.openclaw/workspace/ and your API keys for Baidu Qianfan or local Ollama instances are set in your environment variables to leverage Openclaw Skills at full capacity.
Xiaohua Self-Improving Agent (HuaNiu Enhanced) Data Schema & Taxonomy
The skill organizes data within the ~/.openclaw/workspace/ directory using a hierarchical structure for maximum clarity:
| File/Folder | Description | Update Policy |
|---|---|---|
MEMORY.md |
Primary Session Memory | Long-term knowledge storage |
memory/ |
Daily Logs | Append-only YYYY-MM-DD.md files |
.learnings/ |
Local Logs | Includes LEARNINGS.md and ERRORS.md |
SOUL.md |
Persona Config | Behavioral guidelines and personality rules |
AGENTS.md |
Workflow Config | Multi-agent collaboration and orchestration logic |
Xiaohua Self-Improving Agent (HuaNiu Enhanced) Advanced Features
- Native OpenClaw integration for seamless workspace and agent synchronization.
- Production-ready error tracking with standardized ERR-XXX templates for fast debugging.
- Automatic context window repair flows to dynamically adjust to model token limits.
- Integrated Look-Think-Find-Do automation ensuring consistent task execution logic.
- Optimized domestic search capabilities using Baidu Qianfan API integration.
- Support for local-first LLM deployment via Ollama for privacy and speed.
SKILL.md
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