← ClaudeAtlas

ai-agentslisted

AI Agent architecture patterns for workflow automation in this plugin using RubyLLM
ghozimahdi/gm-aiagent-plugins · ★ 0 · AI & Automation · score 70
Install: claude install-skill ghozimahdi/gm-aiagent-plugins
## AI Agent Patterns ### Architecture **State (DB)** → **Planner (Agent)** → **Action (Job/Logic/LLM)** → **Trace (History)** ### Directory Structure ``` app/agents/ ├── base_agent.rb # Base class ├── task_agent.rb # Multi-step workflow ├── task_group_agent.rb # Batch processing ├── document_ocr_agent.rb # OCR processing ├── document_classifier.rb # Document classification ├── form_fill_agent.rb # AI form filling └── tools/ # Reusable tools └── ... ``` ### Base Agent ```ruby class BaseAgent def initialize(record) @record = record end def run raise NotImplementedError, "Subclasses must implement #run" end private def log_action(action, details = {}) @record.ai_action_histories.create!( action: action, details: details ) end end ``` ### Agent Implementation ```ruby class TaskAgent < BaseAgent def run case @record.status when "pending" check_prerequisites_and_notify when "waiting_response" check_deadline_and_escalate when "documents_received" validate_and_advance end end private def check_prerequisites_and_notify if prerequisites_met? @record.update!(status: :in_progress) TaskMailer.started(@record).deliver_later log_action("advanced_to_in_progress") end end def check_deadline_and_escalate if @record.due_at < 3.days.from_now TaskMailer.deadline_approaching(@re