What is ai-agent-development?

A development workflow for building AI agents—software that can perform tasks using instructions and tools—including systems where several agents work together. It covers planning, implementation, tool connections, memory, and testing with CrewAI, LangGraph, or custom code.

Use it to design autonomous agents, multi-agent systems, agent coordination, tool integrations, memory, and human review steps.

It gives agent projects a staged process instead of leaving architecture, coordination, and testing decisions disconnected.

ai-agent-development — Skill for Claude Code by sendralt

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add sendralt/agentic-awesome-skills --skill ai-agent-development

Clone the repo

git clone --depth 1 https://github.com/sendralt/agentic-awesome-skills

Made for: Claude Code.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 196 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/sendralt/agentic-awesome-skills/ai-agent-development/github.svg)](https://agentmods.dev/skills/sendralt/agentic-awesome-skills/ai-agent-development)

Your own site

<a href="https://agentmods.dev/skills/sendralt/agentic-awesome-skills/ai-agent-development"><img src="https://agentmods.dev/badge/skills/sendralt/agentic-awesome-skills/ai-agent-development/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/sendralt/agentic-awesome-skills/ai-agent-development"><img src="https://agentmods.dev/badge/skills/sendralt/agentic-awesome-skills/ai-agent-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 963 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00032	$0.00963
Opus 5	$0.00016	$0.00481
Sonnet 5	$0.00006	$0.00193
Haiku 4.5	$0.00003	$0.00096

Measured 8d ago against content hash c43570535cad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ai-agent-development scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to ai-agent-development — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/agentic-awesome-skills-claude/skills/ai-agent-development/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 179 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

8d ago First seen · 179 lines · 32 tokens per session scan A c43570535cad

Subscribe to this mod's changes

ai-agent-development is a skill published in the GitHub repository sendralt/agentic-awesome-skills (1 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 963 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ai-agent-development, differing in 0 lines, and is treated as a copy.

Building agents granular-workflow-bundle

ai-agent-development

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

This is a copy

How it starts

AI Agent Development Workflow

Overview

When to Use This Workflow

Workflow Phases

Phase 1: Agent Design

Skills to Invoke

Actions

Copy-Paste Prompts

Phase 2: Single Agent Implementation

Skills to Invoke

Actions

Copy-Paste Prompts

Phase 3: Multi-Agent System

Skills to Invoke

Actions

Copy-Paste Prompts

Phase 4: Agent Orchestration

Skills to Invoke

Actions

Copy-Paste Prompts

Phase 5: Tool Integration

Skills to Invoke

What this file has done since we first saw it

Other skills, from other repositories

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