building-agents-construction

Scaffold agent packages, define goals, and wire nodes and edges.

Updated Jan 25, 2026
One-click install
npx skills add https://github.com/Mrpradhanji/hive-contribution --skill building-agents-construction-mrpradhanji
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: building-agents-construction
Source: https://github.com/Mrpradhanji/hive-contribution/tree/main/.claude/skills/building-agents-construction
Command: npx skills add https://github.com/Mrpradhanji/hive-contribution --skill building-agents-construction-mrpradhanji

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Step-by-step guide to build goal-driven agent packages, creating the project skeleton, wiring goals, nodes, edges, and finalizing a production-ready agent class.

Core Features & Use Cases

  • Scaffold a complete agent package structure including exports, agent.py, config, and init files
  • Define goals with success criteria and constraints and track them via MCP session
  • Add and connect nodes and edges with validation steps to ensure correctness
  • Produce a production-ready agent class using AgentRuntime with multi-entrypoint and HITL support
  • Use cases include building online research agents, automation agents, and data-processing agents

Quick Start

Follow the step-by-step process to scaffold the agent package and wire goals, nodes, and edges.

Frequently Asked Questions about building-agents-construction

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build goal-driven agents with connected nodes and edges?

To build goal-driven agents, this Skill scaffolds the package structure, defines goals, adds nodes, and wires edges with validation. It produces a production-ready agent class using AgentRuntime for complex workflows.

What is the process for scaffolding an agent package structure?

Scaffolding an agent package structure involves creating the project skeleton, including exports, agent.py, config, and __init__ files. This Skill automates that process to ensure proper metadata extraction and compatibility.

Does this agent construction workflow support MCP integration and human-in-the-loop?

Yes, agent construction supports MCP integration for tracking goals via session and includes multi-entrypoint Human-in-the-Loop (HITL) support within the AgentRuntime for safe finalization.

Can I use this to build automation and data-processing agents?

Yes, you can use this to build automation and data-processing agents, as well as online research agents. It handles multi-step validation to ensure correctness across complex workflows.

What's the best way to define goals with success criteria for an agent runtime?

The best way to define goals is by setting success criteria and constraints upfront during package scaffolding. The Skill tracks these goals via an MCP session and wires them through the AgentRuntime.

Why does the agent scaffolding process read frontmatter and repository structure?

The agent scaffolding process reads frontmatter and repository structure to ensure compatibility and proper metadata extraction for agent discovery before finalizing the production-ready package.