ai-agent-development

SKILL.md

AI Agent Development Workflow

Overview

Specialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.

When to Use This Workflow

Use this workflow when:

Building autonomous AI agents

Creating multi-agent systems

Implementing agent orchestration

Adding tool integration to agents

Setting up agent memory

Workflow Phases

Phase 1: Agent Design
Skills to Invoke

ai-agents-architect - Agent architecture

autonomous-agents - Autonomous patterns

Actions

Define agent purpose

Design agent capabilities

Plan tool integration

Design memory system

Define success metrics

Copy-Paste Prompts

Use @ai-agents-architect to design AI agent architecture

Phase 2: Single Agent Implementation

Skills to Invoke

autonomous-agent-patterns - Agent patterns

autonomous-agents - Autonomous agents

Actions

Choose agent framework

Implement agent logic

Add tool integration

Configure memory

Test agent behavior

Copy-Paste Prompts

Use @autonomous-agent-patterns to implement single agent

Phase 3: Multi-Agent System

Skills to Invoke

crewai - CrewAI framework

multi-agent-patterns - Multi-agent patterns

Actions

Define agent roles

Set up agent communication

Configure orchestration

Implement task delegation

Test coordination

Copy-Paste Prompts

Use @crewai to build multi-agent system with roles

Phase 4: Agent Orchestration

Skills to Invoke

langgraph - LangGraph orchestration

workflow-orchestration-patterns - Orchestration

Actions

Design workflow graph

Implement state management

Add conditional branches

Configure persistence

Test workflows

Copy-Paste Prompts

Use @langgraph to create stateful agent workflows

Phase 5: Tool Integration

Skills to Invoke

agent-tool-builder - Tool building

tool-design - Tool design

Actions

Identify tool needs

Design tool interfaces

Implement tools

Add error handling

Test tool usage

Copy-Paste Prompts

Use @agent-tool-builder to create agent tools

Phase 6: Memory Systems

Skills to Invoke

agent-memory-systems - Memory architecture

conversation-memory - Conversation memory

Actions

Design memory structure

Implement short-term memory

Set up long-term memory

Add entity memory

Test memory retrieval

Copy-Paste Prompts

Use @agent-memory-systems to implement agent memory

Phase 7: Evaluation

Skills to Invoke

agent-evaluation - Agent evaluation

evaluation - AI evaluation

Actions

Define evaluation criteria

Create test scenarios

Measure agent performance

Test edge cases

Iterate improvements

Copy-Paste Prompts

Use @agent-evaluation to evaluate agent performance

Agent Architecture

User Input -> Planner -> Agent -> Tools -> Memory -> Response
              |          |        |        |
         Decompose   LLM Core  Actions  Short/Long-term

Quality Gates

 Agent logic working

 Tools integrated

 Memory functional

 Orchestration tested

 Evaluation passing

Related Workflow Bundles

ai-ml - AI/ML development

rag-implementation - RAG systems

workflow-automation - Workflow patterns

Limitations

Use this skill only when the task clearly matches the scope described above.

Do not treat the output as a substitute for environment-specific validation, testing, or expert review.

Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.