Does this skill support the ReAct pattern?

Yes, it provides guidance on using ReAct for exploratory tasks and structured function-calling for deterministic flows, including recommendations for hybrid models.

What is an agent harness in AI development?

An agent harness refers to the structural environment—including tool definitions, observation formats, and prompting strategies—that defines how an AI agent interacts with its action space.

When should I use micro-tools versus macro-tools?

Use micro-tools for high-risk operations like deployments or migrations to maintain safety, and use macro-tools only when reducing round-trip token overhead is the primary priority.

How does this skill improve agent completion rates?

It provides best practices for deterministic tool outputs, narrow schemas, and explicit recovery hints, reducing the likelihood of the agent getting stuck or hallucinating.

Agent Harness Construction

Name: Agent Harness Construction
Author: saar120

bysaar120

0•

数据科学与机器学习

Optimizes AI agent action spaces and tool definitions to improve task completion rates and error recovery.

This skill provides a comprehensive framework for architecting robust AI agent environments within Claude Code. It guides developers through the nuances of action space design, tool granularity, and observation formatting to ensure agents converge on solutions more reliably. By implementing standardized error recovery contracts and context budgeting techniques, this skill helps eliminate common agent anti-patterns like context overloading and opaque tool outputs, resulting in more deterministic and efficient agentic workflows.

主要功能

01Optimized action space design for higher task completion rates

02Structured error recovery contracts with retry instructions

03Standardized observation formatting with status and artifacts

04Efficient context budgeting and system prompt minimization

050 GitHub stars

06Granular tool strategy (micro, medium, and macro-tools)

使用场景

01Designing custom tool schemas for complex LLM-powered applications

02Migrating from simple function-calling to sophisticated hybrid ReAct architectures

03Debugging agent loops and improving recovery from tool execution errors

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add saar120/skillgate-registry agent-harness-construction

For use in Claude.ai and ChatGPT

主要功能

01Optimized action space design for higher task completion rates

02Structured error recovery contracts with retry instructions

03Standardized observation formatting with status and artifacts

04Efficient context budgeting and system prompt minimization

050 GitHub stars

06Granular tool strategy (micro, medium, and macro-tools)

使用场景

01Designing custom tool schemas for complex LLM-powered applications

02Migrating from simple function-calling to sophisticated hybrid ReAct architectures

03Debugging agent loops and improving recovery from tool execution errors

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add saar120/skillgate-registry agent-harness-construction

For use in Claude.ai and ChatGPT