agent-architecture-patternsAI Agent architecture patterns library with 10 patterns for single and multi-agent systems
Install via ClawdBot CLI:
clawdbot install banxian87/agent-architecture-patternsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://github.com/your-repo/agent-architecture-patterns.gitUses known external API (expected, informational)
arxiv.orgAI Analysis
The skill definition is a documentation library for architectural patterns with no executable code or active data collection mechanisms shown. The rule-based signals (like eval() and external URLs) appear to be examples within documentation, not active skill functionality. No evidence of credential harvesting, data exfiltration, or hidden malicious instructions exists in the provided content.
Generated May 6, 2026
A multi-agent system where a manager agent assigns code review tasks to specialized worker agents for different languages. This improves code quality and developer productivity.
A single-agent ReAct pattern that reasons about user queries and acts by retrieving educational content. It adapts to the learner's pace and style.
A pipeline of agents processing transaction data sequentially: detection, analysis, and alerting. Each stage refines the results for faster response to fraud.
A hierarchical agent system where a senior agent supervises specialist agents for different medical domains. It assists doctors with diagnostic suggestions.
A manager-worker system handling customer inquiries: a manager triages and delegates to agents specialized in returns, shipping, or product info. Reduces response time.
Offer the agent architecture as a cloud service with tiered subscriptions based on number of agents and requests. Recurring revenue from monthly or annual fees.
Provide consulting services to design and integrate custom agent architectures for enterprise clients. Charge per project or hourly for expertise.
Expose agent patterns via API with usage-based pricing (e.g., per agent call). Suitable for developers needing flexible, scalable access.
💬 Integration Tip
Start with a simple ReAct agent for a specific task, then gradually add multi-agent patterns as complexity grows. Use the provided examples as templates.
Scored May 6, 2026
Audited Apr 16, 2026 · audit v1.0
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