multi-agent-orchestration
Guides multi-agent systems in which specialized agents collaborate on complex problems. Covers agent communication, task delegation, workflow orchestration, and aggregation of results.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Guides multi-agent systems in which specialized agents collaborate on complex problems. Covers agent communication, task delegation, workflow orchestration, and aggregation of results.
Guides multi-agent architecture when a single agent's context is insufficient or tasks divide naturally into subtasks. Supports agent specialization to improve quality.
Coordinates six reviewers across two model tiers and three topics to assess specifications and plans. Uses a reasoning-tier juror when tiers disagree and gates further work with a fail-closed verdict separating blockers, warnings, and observations.
Use a decision framework to choose services across multiple cloud providers. Supports multi-cloud systems, reducing vendor lock-in, and integrating providers' strengths.
Use when you need to understand how internal libraries work, trace dependencies across repositories, or explore code patterns in reference repos - clones/updates a configured list of repos and provides exploration guidance
Organize multiple reviewers across code quality dimensions. Includes deduplicating findings, calibrating severity, and consolidating review results into a report.
Creates optimized Dockerfiles using multi-stage builds. Applies across programming languages and frameworks.
Designs tenant isolation, hostname routing, custom-domain lifecycles, and plan limits on Cloudflare or Vercel. Supports white-label platform architecture and assessment of PSL registration.
Developing for multicore systems in Zephyr RTOS. Covers Symmetric Multiprocessing (SMP), Asymmetric Multiprocessing (AMP) with OpenAMP/RPMsg, inter-processor communication (IPC) patterns, and Linkable Extensions (LLEXT). Trigger when designing for SoCs with multiple homogeneous or heterogeneous cores.
Covers the principles of multiplayer game development. Focuses on architecture, networking, and synchronization.
Covers native terminal multiplexing through windows, splits, and panes. Applies to changes in the multiplex module, keybindings, and session persistence.
Creates AI-generated music through the ElevenLabs Music API, including instrumental tracks and songs with lyrics. Supports prompt-based generation, detailed composition plans, and output metadata.
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