A comprehensive Golang development toolkit providing standardized logging practices and architectural flow analysis for AI-driven coding.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install golang-code-writer-custom
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 golang-code-writer-custom 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 Golang Development Skillset?
This skill provides a specialized framework for Golang development within AI agent environments. It focuses on two critical pillars: standardized logging through the xlogging specification and deep architectural insights via API flow analysis. By integrating these Openclaw Skills, developers ensure consistency across MCP clients, backend services, and data processing tasks. The toolkit is designed to guide AI agents in writing maintainable, error-resilient code by adhering to strict development principles and pre-defined patterns.
Golang Development Skillset Use Cases
- Implementing standardized logging across Golang backend services to ensure no errors are handled silently.
- Analyzing complex API execution flows and visualizing them using Mermaid diagrams for better project maintenance.
- Developing Model Context Protocol (MCP) clients that require strict configuration management and tool documentation compliance.
- Onboarding AI agents to existing Golang codebases by providing clear copy-and-adapt patterns and logic structures.
How Golang Development Skillset Works
- The AI agent or developer identifies the Golang development task, such as adding logs or understanding an API.
- The system references the specific Openclaw Skills document (logging or flow-analysis) based on the current context.
- For logging, the agent applies the xlogging standard and appropriate log levels (Error, Info, etc.) as defined in the skill documentation.
- For flow analysis, the agent generates or references Mermaid diagrams and follows the established concurrency and error-handling patterns.
- The development process prioritizes reading configuration from mcp-config.json and referring to external tool documentation for precise implementation.
Golang Development Skillset Setup
To integrate these Openclaw Skills into your environment, ensure you have the repository structure ready. Access the primary SKILL.md and its sub-modules using the following steps:
# Navigate to your skill directory
cd golang-skills/
# Reference the logging standard
cat SKILL-logging.md
# Reference the flow analysis guide
cat SKILL-flow-analysis.md
Ensure your project has a mcp-config.json file present in the root or referenced path for service discovery.
Golang Development Skillset Data Schema & Taxonomy
The skill organizes data through a structured set of Markdown files and configuration schemas to maintain technical consistency:
| Component | Location | Description |
|---|---|---|
| Logging Standard | SKILL-logging.md | Defines xlogging syntax and level selection rules. |
| Flow Analysis | SKILL-flow-analysis.md | Contains Mermaid diagrams and common Golang API patterns. |
| MCP Configuration | mcp-config.json | Centralized storage for service URLs and environment settings. |
| Tool References | references/tools/*.md | Documentation for external MCP tool interfaces and definitions. |
Golang Development Skillset Advanced Features
- Automated Mermaid diagram generation for visualizing complex Golang API logic flows.
- Multi-agent support through standardized MCP tool calling conventions and shared documentation.
- Strict Configuration-First enforcement to prevent hardcoding of service addresses and improve portability.
- Comprehensive error tracing using xlogging with full stack trace support integrated into Openclaw Skills.
SKILL.md
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