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Prototype, inspect, and improve product UI, UX, and design implementation flows.
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This skill provides production-tested memory templates and patterns to help agents retain context, recover from gaps, and log decisions effectively.
This skill provides a complete memory system for AI agents, enabling daily logs, curated memory, and fast recall across sessions.
This skill helps you design agent-native systems where agents are first-class, enabling atomic tools, loop execution, and open-ended capability.
This skill performs a comprehensive agent-native architecture audit by launching parallel sub-agents to score and report gaps against eight core principles.
This skill reviews code to ensure agent-native parity, enabling agents to perform every user action and see the same data.
This skill helps you orchestrate simple parallel tasks and pipelines across sub-agents using spawn, fork, and basic coordination.
This skill helps you orchestrate sub-agents, write effective prompts, track running agents, and learn from outcomes to improve automation.
Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls. Provides orchestration diagrams, tool execution order, fallback strategies, and cost limits. Use for "AI agents", "agentic workflows", "multi-step AI", or "autonomous systems".
This skill orchestrates complex objectives by decomposing tasks, planning execution, and synthesizing results to deliver unified outcomes across agents.
This skill helps you decide when to spawn agents versus work directly, enabling parallelism, specialization, and token-efficient workflows.
This skill orchestrates multi agent PR workflows, automating reviews, tests, and merges to accelerate code delivery.
This skill enables agents to communicate via events, orchestrate workflows, and autonomously execute multi-step tasks with a robust event bus.
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4988 candidates for Design. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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