ai-agent-development

Q: How do I install ai-agent-development?

Run npx skills add https://github.com/sickn33/agentic-awesome-skills --skill ai-agent-development in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ai-agent-development/ (personal) or .claude/skills/ai-agent-development/ (project).

by sickn33AI & Agents

AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

Installs: 686
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/sickn33/agentic-awesome-skills --skill ai-agent-development

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads ai-agent-development automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

Scope and execution

Choose the phases that match the user’s task; this document is an index, not an instruction to run every listed skill. Read a selected skill before using it. Respect repository and user constraints. Cloud calls, host configuration, publishing, destructive operations and spending require the applicable authorization; a workflow checklist does not grant it.

Multi-agent phases describe the product being built. They do not authorize the assistant to spawn or delegate to agents during this task. Use an existing single-agent architecture when appropriate and record evaluation inputs, observed results and limitations.

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

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.

FAQ

What does the ai-agent-development skill do?

AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

How do I install ai-agent-development?

Run npx skills add https://github.com/sickn33/agentic-awesome-skills --skill ai-agent-development in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ai-agent-development/ (personal) or .claude/skills/ai-agent-development/ (project).

Which AI agents can use ai-agent-development?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is ai-agent-development safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains ai-agent-development?

It is published by sickn33 in sickn33/agentic-awesome-skills. It has 686 recorded installs.