openclaw-gen

What This Skill Does

The openclaw-gen skill is a specialized agent tool designed to streamline the project initialization process within the OpenClaw ecosystem. By leveraging the unified llm-task interface, this skill automates the creation of structural documentation and configuration files required for a functional OpenClaw agent. When activated, it utilizes 15 built-in templates to generate essential components including AGENTS.md for role definition, structured YAML files in the workflows/ directory, and MEMORY.md for context management. It acts as a bridge between high-level user intent and the specific technical scaffolding required for OpenClaw agents, significantly reducing boilerplate setup time.

Installation

To integrate this skill into your environment, use the OpenClaw package manager, ClawHub. Execute the following command in your terminal:

clawhub install openclaw/skills/skills/truongvknnlthao-gif/openclaw-gen

After installation, ensure that the llm-task plugin is enabled in your configuration file located at ~/.openclaw/openclaw.json. Verify that the plugins section contains "llm-task": { "enabled": true } to allow the generator to communicate correctly with the underlying model interface without requiring separate API key management.

Use Cases

This skill is ideal for developers and power users looking to rapidly prototype agentic workflows. Use cases include:

• Rapid bootstrapping of specialized AI agents for specific tasks like weather monitoring or fitness tracking.
• Standardizing project structures across multiple team members to ensure consistent workflow architecture.
• Rapid experimentation with the 15 available templates to determine which agentic pattern best fits a specific business problem, such as DevOps monitoring or content creation.

Example Prompts

1. "I need a research assistant agent configured with the template 'research-assistant' to track new papers in my project directory."
2. "Please set up a new project named 'crypto-monitor' using the finance-tracker template to organize my memory and workflow files."
3. "Generate a social media management agent configuration that includes the necessary memory and workflow structures for content scheduling."

Tips & Limitations

• Tip: Always review the generated AGENTS.md after running the skill, as the initial scaffolding may require specific parameter tuning to align with your unique task objectives.
• Tip: If you have custom template needs not covered by the 15 built-in options, consider using the generator to create a baseline and then manually extending the YAML workflow files.
• Limitation: The skill relies entirely on the quality of the model provided to the llm-task interface; performance may vary depending on the specific model chosen (e.g., MiniMax-M2.1).
• Limitation: Ensure your local file permissions allow the agent to write files to the project directory before triggering the generation process.