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n-agentic-harnesses-anthropic

Design agentic harness architectures with MVP and phased implementation plans.

4.4k|856|Updated Mar 11, 2026
Search Tags:#workflow#design#permissions#evaluation#orchestration#LLM-tools#agentic-harness
One-click install
npx skills add https://github.com/NateBJones-Projects/OB1 --skill n-agentic-harnesses-anthropic-natebjones-projects
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: n-agentic-harnesses-anthropic
Source: https://github.com/NateBJones-Projects/OB1/tree/main/skills/n-agentic-harnesses/variants/anthropic
Command: npx skills add https://github.com/NateBJones-Projects/OB1 --skill n-agentic-harnesses-anthropic-natebjones-projects

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design, evaluate, and improve agentic harnesses — the orchestration layer around LLM-powered tools, agents, assistants, copilots, workflow runtimes, and AI-driven product features. Use this skill whenever the user mentions building an agentic system, structuring tool use, adding permissions or approval gates, designing multi-step AI workflows, managing context windows or memory, making agents durable or resumable, evaluating or pressure-testing a harness, planning phased implementation for an AI product, reviewing agent architecture, improving agent UX or observability, or asking how to know if their harness is actually good. Also use when the user describes problems that imply harness gaps — like agents doing unexpected things, context getting stale, sessions not surviving crashes, tools running without permission, or costs spiraling — even if they do not use the word "harness."

Core Features & Use Cases

  • Router for designing, building, and evaluating agentic harnesses.
  • Provides default posture guidance and phased implementation strategies to keep projects lean and maintainable.
  • Supports evaluation, improvement, and phased rollout plans to ensure reliability and safety.

Quick Start

Describe your agentic harness goals and I will design, build, and evaluate the harness plan.

Frequently Asked Questions about n-agentic-harnesses-anthropic

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

FAQPage Schema
How do I design an agentic harness for multi-step AI workflows?▼

Designing an agentic harness involves routing the orchestration layer around LLM tools to structure multi-step workflows. It produces a target architecture, MVP, and phased plan with acceptance criteria for durable agent systems.

How do I add permission gates to an AI agent workflow runtime?▼

Adding permission gates to an agent workflow runtime involves structuring the agentic harness with approval steps. This prevents tools from running without explicit permission and ensures safe multi-step AI orchestration.

Why does my AI agent's context get stale during long multi-step sessions?▼

AI agent context gets stale during long multi-step sessions due to missing agentic harness memory management. Designing a harness with proper context window management and durable resumable state solves this workflow orchestration gap.

What is the best way to evaluate an LLM tool orchestration architecture?▼

The best way to evaluate an LLM tool orchestration architecture is to pressure-test the agentic harness. This reviews agent architecture, improves observability, and applies acceptance criteria to ensure reliability and safety.

Can I make my LLM-powered assistant durable and resumable after a crash?▼

You can make an LLM-powered assistant durable and resumable by designing an agentic harness with session persistence. This orchestration layer manages context windows and memory to ensure sessions survive crashes.

When do I need a dedicated orchestration layer for my AI product features?▼

You need a dedicated orchestration layer when AI product features require multi-step workflows, tool orchestration, or memory management. Designing an agentic harness provides the necessary architecture and phased implementation plan.

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