A professional AI Agent architecture designer providing production-ready blueprints and multi-agent workflow patterns for the Openclaw Skills ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skylv-agent-builder
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 skylv-agent-builder 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 Agent Builder?
The Agent Builder is a sophisticated design tool specifically engineered to architect high-performance AI agents. Rather than providing generic chat interfaces, this skill delivers structured blueprints for over 10 production-level roles, including customer service, software engineering, and data analysis. By utilizing Openclaw Skills, users can generate comprehensive agent profiles that include predefined personas, toolsets, and delivery standards.
This tool is essential for developers who need to move beyond simple prompting into building complex, reliable agentic systems. Each template generated by the Agent Builder is ready for immediate deployment, ensuring that your AI agents have the rigorous technical foundations required for real-world enterprise applications.
Agent Builder Use Cases
- Rapidly bootstrapping a Software Engineer agent with integrated React, Node.js, and Python code review capabilities.
- Designing a Customer Support agent with RAG knowledge base access and ERP API integration for order lookups.
- Orchestrating a full e-commerce team by combining Product Manager, UX Designer, and Developer templates.
- Creating a Content Operator agent focused on SEO optimization and multi-platform distribution for social media.
- Building a Sales Development Representative (SDR) agent using the BANT qualification framework to score leads.
How Agent Builder Works
- The user triggers the architecture designer by requesting a specific agent role or using commands like /design-agent.
- The system analyzes the requirements and selects the most relevant Openclaw Skills template from its library of 10+ production roles.
- It generates a detailed architecture specification covering Identity, Capabilities, Tools, and Workflows.
- Logical decision-making paths are established, defining how the agent handles simple queries versus complex API-driven tasks.
- The skill outputs a complete blueprint, including success metrics and guardrails, ready for integration into your agentic environment.
Agent Builder Setup
To begin building advanced architectures with this skill, follow the standard installation and execution flow:
# Install the agent-builder skill via Openclaw
openclaw install skylv-agent-builder
# Trigger the design process for a specific role
openclaw run agent-builder --template "software-engineer"
# Or use manual triggers within the CLI
/agent-builder "design a cross-border e-commerce agent"
Agent Builder Data Schema & Taxonomy
The Agent Builder organizes its architectural output into a clean, hierarchical schema to ensure compatibility with various Openclaw Skills:
| Element | Purpose | Example |
|---|---|---|
| Identity | Defines the role persona and experience level | 8-year Full-stack Engineer |
| Capabilities | Specific functional domains of expertise | Code review, OWASP scanning |
| Tools | API and CLI toolsets assigned to the agent | code_generate, docker_config |
| Workflow | Step-by-step operational logic | Intent Analysis → Tool Call → Output |
| Metrics | Success indicators and performance KPIs | Solution rate > 85%, Response < 30s |
| Guardrails | Safety boundaries and data privacy rules | No user data leakage, no financial promises |
Agent Builder Advanced Features
- Multi-agent orchestration support for designing collaborative teams of AI experts.
- Custom design mode to synthesize unique roles by merging capabilities from different Openclaw Skills templates.
- Integrated BANT framework for sales agents to automate lead qualification logic.
- Automated code quality checks for engineering agents, including ESLint and test coverage requirements.
- Deep integration with the agency-agents library, providing access to 193+ specialized AI roles.
SKILL.md
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