---
name: agent-development-pack-cfe7fcbb7278
description: Curated bundle for building, testing, and coordinating AI agent systems. Includes multi-agent orchestration, agent testing, cross-agent handoff, MCP server building, and prompt engineering. Use when developing AI agent workflows or multi-agent systems.
license: MIT
complexity: intermediate
time_to_learn: 5min
tags:
  - bundle
  - agents
  - multi-agent
  - testing
  - orchestration
inputs:
  - agent-requirements
outputs:
  - skill-bundle
includes:
  - agent-swarm-orchestrator
  - agent-testing-patterns
  - cross-agent-handoff
  - mcp-builder
  - prompt-engineering-patterns
tier: core
governance_phases: [build, prove]
organ_affinity: [organ-iv]
triggers: [context:agent-development, context:multi-agent, context:mcp-server]
---

# Agent Development Pack

A curated bundle for building, testing, and coordinating AI agent systems with proper handoff and tool integration.

## What's Included

- **agent-swarm-orchestrator** — Design multi-agent systems with coordinated swarms and task distribution
- **agent-testing-patterns** — Test agent tool use, non-deterministic outputs, and multi-turn conversations
- **cross-agent-handoff** — Transfer context between agent sessions with structured handoff protocols
- **mcp-builder** — Build MCP (Model Context Protocol) servers for extending agent capabilities
- **prompt-engineering-patterns** — Design effective prompts with structured formats and chain-of-thought

## Getting Started

Install this bundle when building AI agent systems. The recommended workflow:

1. **Design:** Use prompt-engineering-patterns to architect system prompts and tool definitions
2. **Build:** Use mcp-builder for custom tool servers and agent-swarm-orchestrator for multi-agent coordination
3. **Test:** Use agent-testing-patterns for unit, integration, and E2E agent testing
4. **Coordinate:** Use cross-agent-handoff for reliable session continuity

This pack is the foundation for ORGAN-IV (orchestration) agent development.


---
Source attribution: luokai0
Original project: https://github.com/luokai0/ai-agent-skills-by-luo-kai/blob/4d2fb89cdfb75f3f6fd3c6c5ec9ad90ea129eb3c/ai-agent-skills/21-external-registries/18-organvm-skills/tools/agent-development-pack/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: luokai0
Original project: https://github.com/luokai0/ai-agent-skills-by-luo-kai/blob/4d2fb89cdfb75f3f6fd3c6c5ec9ad90ea129eb3c/ai-agent-skills/21-external-registries/18-organvm-skills/tools/agent-development-pack/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Product Management
Roles: Data Scientist, Growth Product Manager, ML / AI Engineer, Product Manager, Technical Product Manager
Specialties: API, Backend
Tools: Mcp Server
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 9237eb10a8cfaeca7599849f2fa9adbc6691dd554af1351bd68ccb2a20cf495a