agentic-ai-systems

🥈Silver

Agentic AI Systems enables operations teams to design and manage complex workflows using agent-based orchestration. It simplifies the creation of main agents and subagents, allowing for efficient task delegation and execution. This skill connects to various workflow tools and integrates with Claude for advanced AI capabilities.

239200Updated Today

Intermediate30min to implementautomation

Saves ~20 min per use

Quick InstallView Source

git clone https://github.com/ThibautMelen/agentic-ai-systems.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Define the Goal**: Start by clearly outlining the end-to-end process you want to automate (e.g., customer onboarding, invoice processing). Use tools like [Mermaid.js](https://mermaid.js.org/) or [Lucidchart](https://www.lucidchart.com/) to map the workflow visually before coding. 2. **Identify Agents and Tasks**: Break the process into logical sub-tasks and assign each to a subagent. For example, if processing invoices, create agents for validation, approval, and payment. Use [Claude Code](https://docs.anthropic.com/en/docs/claude-code) to scaffold the agent framework with clear inputs/outputs. 3. **Set Up Integrations**: Configure API connections to your tools (e.g., Zapier for no-code, custom scripts for APIs). Test each integration in a sandbox environment to avoid disrupting live workflows. For Claude, use the `tools` parameter to enable external calls. 4. **Implement Error Handling**: Add fallback mechanisms for common failures (e.g., API timeouts, missing data). Use logging (e.g., [Sentry](https://sentry.io/)) to track errors and refine the workflow. Include a human-in-the-loop step for critical decisions. 5. **Deploy and Iterate**: Start with a pilot group (e.g., 10% of tickets) and monitor performance. Use metrics like task completion time, error rates, and user feedback to refine the agents. Schedule regular reviews to update the workflow as processes evolve.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/ThibautMelen/agentic-ai-systems

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Design an agentic workflow for [TASK/PROCESS] using a main agent and 2-3 specialized subagents. The main agent should handle [OVERARCHING_GOAL], while subagents manage [SPECIFIC_SUBTASKS]. Include error handling for [COMMON_FAILURE_POINTS] and a feedback loop to [VALIDATION_CRITERIA]. Provide the workflow in a step-by-step format with clear inputs/outputs for each agent.

Example Output

Here’s a designed agentic workflow for processing customer support tickets in a SaaS company:

**Main Agent: Ticket Orchestrator**
- Input: Raw customer ticket from Zendesk (priority: P1-P3, category: billing/technical/feature request).
- Goal: Route tickets to the correct team with 95% accuracy and resolve within SLA.
- Output: Ticket assigned to subagent with context and deadline.

**Subagent 1: Billing Specialist**
- Input: Ticket with category='billing' and priority=P1.
- Tasks: Verify payment status, issue refunds if applicable, update CRM.
- Output: Resolution status (resolved/requires escalation) and notes for customer.
- Error Handling: If payment status is unclear, escalate to Finance Team via Slack.

**Subagent 2: Technical Support**
- Input: Ticket with category='technical' and priority=P2.
- Tasks: Diagnose issue using internal knowledge base, provide step-by-step guide, or escalate to Engineering.
- Output: Resolution steps or ticket moved to Engineering queue with logs.
- Feedback Loop: If resolution time exceeds 2 hours, notify manager via email.

**Subagent 3: Feature Request Analyst**
- Input: Ticket with category='feature request' and priority=P3.
- Tasks: Categorize request, check for duplicates in Productboard, and log in Jira.
- Output: Ticket logged in Jira with priority (low/medium/high) and stakeholder tags.
- Validation: Ensure no duplicate requests exist; if found, merge and notify requester.

**Workflow Execution:**
1. Ticket arrives in Zendesk → Main Agent analyzes and routes.
2. Subagents execute tasks in parallel, updating status in real-time.
3. Main Agent monitors SLA compliance and escalates if needed.
4. Post-resolution, Main Agent sends a satisfaction survey to the customer.

**Integration Points:**
- Zendesk API for ticket ingestion.
- Slack for escalations.
- CRM (HubSpot) for customer context.
- Jira for feature request tracking.

This workflow reduces manual triage time by 60% and improves SLA compliance by 25% based on pilot data from Q2 2024.