Topic

Agent Harnesses and Skills

Learn how AI agent harnesses and skills work in practice. Covers hooks, SKILL.md files, context management, and tailoring a harness to a specific task.

13 articles·Updated Nov 4, 2026
Exploded cutaway of an agent-team dispatcher: a router sending tasks to cheap, balanced and best model stacks, with retry loops, a failover harness and a paused model.

How Do Panda Code Agent Teams Work? Cheap, Balanced, Best

Set up Panda Code agent teams: cheap, balanced and best modes, router-first dispatch, retries, harness failover, model pauses and the S-to-D tier list.

Panda Code agent teamsPanda Orchestratormulti-agent coding workflow
A single agent loop as a circuit of docked tool modules, with a sub-agent capsule branching off and one conduit folding it back into the main loop.

When to Use Sub-Agents vs a Single Agent Loop

Anthropic argues teams overuse sub-agents. Learn the keep-in-loop test, the skills/tools/lookup split, the 30 to 50 tool limit, and how to fold safely.

sub-agents vs single agentfold sub-agents main agent loopprogressive disclosure skills
A single folder opens and feeds cards into a central AI agent module while many identical closed folders remain dormant around it, illustrating an on-demand skills file.

What Are AI Agent Skills Files (SKILL.md)?

SKILL.md skills files are plain-text onboarding guides for AI agents. Here's how progressive disclosure works, why sprawl and security risks are real, and how skills pair with MCP.

AI agent skills filesSKILL.mdagent skills standard
A mechanical sliding caliper bracket isolating a small upper section of a massive vertical stack of blank data plates, representing the active context window managed within an AI system.

What is Agentic Context Management?

Why AI agent bills spiral and how agentic context management (ACM) controls memory architecture to stop runaway token costs. A practitioner's breakdown.

agentic context managementAI agent token costscontext window