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Support CRM, outreach, customer handoffs, and revenue operations workflows.
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This skill helps agents improve learning from errors by logging concise one-line learnings and promoting recurring issues to memory.
This skill provides durable memory persistence for AI agents using SQLite-backed storage, semantic retrieval, and lifecycle management across sessions.
This skill provides a unified memory brain for agents, enabling semantic recall, structured storage, and graph-aware memory across vector, graph, and SQL data.
This skill provides a cross-agent semantic memory store with TTL decay and SQLite persistence to easily store, search, and retrieve memories across agents.
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".
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4998 candidates for Sales. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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