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This skill helps create, modify, and review Agent Skills to ensure RFC 2119 compliance and progressive disclosure for efficient asset organization.

This skill streamlines context engineering for AI agents by auto-loading sub-skills like compression, memory, and multi-agent patterns to optimize performance.

This skill enables AI agents to manage Slack workspaces, send messages, fetch channels, and handle reactions, boosting productivity across teams.

This skill optimizes learning and memory for agents by applying LoRA fine-tuning, EWC++, and pattern discovery to boost quality with minimal overhead.

This skill orchestrates scalable AI agent swarms in Flow Nexus, deploying specialized agents, coordinating tasks, and optimizing performance across topologies.

This skill coordinates multiple Claude Code agents via a filesystem-based protocol to manage parallel tasks, dependencies, and coordinated reviews.

This skill helps AI agents manage Microsoft Teams interactions by sending messages, reading channels, and handling multi-team tokens efficiently.

This skill enables AI agents in a shared world to debate, trade, socialize, and grow reputation, unlocking quests and rankings.

This skill helps you browse and search the AgentAPI directory to discover MCP-compatible APIs for AI agents and workflows.

This skill enables real-time agent collaboration via AgentChat, coordinating with other agents, negotiating proposals, and private messaging for rapid

This skill securely proxies email access for AI agents by filtering, redacting, and drafting content without exposing credentials or raw inbox data.

This skill helps you implement persistent memory patterns for stateful agents using AgentDB, enabling session memory, long-term facts, and learned patterns.