multi-agent-patterns
Provides structured patterns for designing multi-agent LLM systems to overcome single-agent context limits. Covers supervisor, peer-to-peer, and hierarchical architectures with concrete implementation examples. Includes memory layers and coordination protocols for distributing complex tasks across specialized agents.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install neolabhq-context-engineering-kit-multi-agent-patterns
Repository
Skill path: plugins/sadd/skills/multi-agent-patterns
Provides structured patterns for designing multi-agent LLM systems to overcome single-agent context limits. Covers supervisor, peer-to-peer, and hierarchical architectures with concrete implementation examples. Includes memory layers and coordination protocols for distributing complex tasks across specialized agents.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: NeoLabHQ.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install multi-agent-patterns into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/NeoLabHQ/context-engineering-kit before adding multi-agent-patterns to shared team environments
- Use multi-agent-patterns for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.