Agent skill · product strategy · aiskillstore
multi-agent-patterns
This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.
Why this skill is useful
Provides domain-specific knowledge on multi-agent system design patterns and coordination protocols that the AI wouldn't reliably generate on its own.
What it needs
About 9k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Multi-Agent Architecture Patterns Multi-agent architectures distribute work across multiple language model instances, each with its own context window. When designed well, this distribution enables capabilities beyond single-agent limits. When designed poorly, it introduces coordination overhead that negates benefits. The critical insight is that sub-agents exist primarily to isolate context, not to anthropomorphize role division. When to Activate Activate this skill when: Single-agent context limits constrain task complexity Tasks decompose naturally into parallel subtasks Different subtasks require different tool sets or system prompts Building systems that must handle multiple domains simultaneously Scaling agent capabilities beyond single-context limits Designing production agent systems with multiple specialized components Do not activate this skill for adjacent work owned by other skills: Deciding task-model fit, pipeline shape, or project-level cost before topology is known: project-development. Designing hosted sandboxes, warm pools, remote sessions, or background runtime infrastructure: hosted-agents. Sharing orchestrator state through KV-cache compaction in controlled runtimes: latent-briefing. Designing the tools each agent exposes: tool-design. Core Concepts Use multi-agent patterns when a single agent's context window cannot hold all task-relevant information. Context isolation is the primary benefit — each agent operates in a clean context without accumulated noise from other subtasks, preventing the telephone game problem where information degrades through repeated summarization. Choose among three dominant patterns based on coordination needs, not organizational metaphor: Supervisor/orchestrator — Use for centralized control when tasks have clear decomposition and human oversight matters. A single coordinator delegates to specialists and synthesizes results. Peer-to-peer/swarm — Use for flexible exploration when rigid planning is counterproductive. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/multi-agent-patterns--f4c080