This skill should be used when the user wants to "multiple agents working together", "agent teams", "specialist agents", "hierarchical agent systems", "agent orchestration", "multi-agent pipeline", "supervisor agent", "agent network", "collaborative AI", "expert agent teams", "researcher writer agent", "multi-agent…
This skill should be used when the user wants to "run tasks in parallel", "concurrent LLM calls", "fan-out and fan-in", "parallel agents", "simultaneous execution", "reduce latency with concurrency", "parallel sub-tasks", "parallel processing", "concurrent agent execution", "run agents simultaneously", "speed up with…
This skill should be used when the user wants to "plan complex tasks", "break down goals into steps", "autonomous task planning", "goal-oriented agents", "multi-step workflow automation", "generate execution plans", "strategic task decomposition", "adaptive planning", "deep research automation", "task planner agent"…
This skill should be used when the user wants to "agent task prioritization", "priority queue for agents", "dynamic task scheduling", "urgent task handling", "deadline-aware agents", "agent workload management", "task importance scoring", "weighted task execution", "interrupt-driven agents", "preemptive scheduling"…
This skill should be used when the user wants to "chain prompts", "build a pipeline", "break down complex tasks into steps", "sequential LLM calls", "multi-step reasoning", "pipeline pattern", "sequential agent pipeline", "multi-step prompt pipeline", "LLM chain", "step-by-step agent", "prompt pipeline", "decompose…
This skill should be used when the user wants to "retrieval augmented generation", "RAG", "ground agent in documents", "knowledge base search", "vector search for agents", "semantic document retrieval", "augment LLM with external knowledge", "document QA", "knowledge grounding", "enterprise knowledge agent", "PDF…
This skill should be used when the user wants to "chain-of-thought prompting", "ReAct agent", "tree of thought", "step-by-step reasoning", "structured reasoning agents", "agent thinking", "scratchpad reasoning", "self-consistency", "reasoning traces", "deliberate thinking", "agent metacognition", "think before…
This skill should be used when the user wants to "self-evaluate output", "iterative refinement", "LLM as critic", "self-correction loop", "quality improvement loop", "review and revise", "agent self-assessment", "critique and improve", "self-improving output", "feedback loop agent", "generate then critique", "refine…
This skill should be used when the user wants to "optimize agent resource usage", "token budget management", "cost-aware agents", "efficient LLM calls", "agent cost optimization", "reduce API costs", "agent performance optimization", "latency optimization", "token counting", "model selection strategy", "compute budget…
This skill should be used when the user wants to "route requests", "classify input and delegate", "dynamic decision-making", "conditional agent flow", "dispatch to sub-agents", "intent classification", "triage incoming requests", "agent router", "request dispatcher", "multi-path agent", "semantic routing", "classifier…
This skill should be used when the user wants to "call external APIs", "use tools in agents", "function calling", "web search integration", "code execution", "database queries", "agent tool integration", "extend agent capabilities", "RAG tool", "external service calls", "give agent tools", "agent with web search"…