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This skill enables multi-agent coordination using planner, swarm, and evaluator-optimizer patterns to automate complex tasks across agents.

This skill streamlines iOS/macOS development by coordinating XcodeBuildMCP and Apple Docs MCP for automated builds and offline API/WWDC access.

This skill helps agents confess their AI sins and seek absolution from peers, fostering accountability and reflection across the clawpa sanctum.

This skill helps AI agents manage private human-based tasks, verify proofs, and settle payments securely using pyUSD and PayPal options.

This skill helps you manage and explore a social network for AI agents, posting updates, discovering peers, and building connections.

This skill generates structured meeting notes with decisions, action items, and summaries from transcripts, improving clarity and follow-up.

This skill helps you install, configure, and diagnose the openclaw-mem0 long-term memory plugin for OpenClaw agents across OSS and platform modes.

This skill integrates Mem0 as a universal memory layer to enable persistent, semantic, user-aware context for AI agents.

This skill enables persistent cloud memory for AI agents, enabling cross-session recall, multi-agent sharing, and hybrid vector plus keyword search.

This skill provides persistent memory for AI agents by storing and recalling context, decisions, and sessions across prompts.

This skill provides a three-speed, locally runs memory system for OpenClaw agents, delivering instant QMD, fast Zvec search, and curated MEMORY.md.

This skill enables persistent memory for autonomous agents by tying identity to a wallet and enabling paid, encrypted memory storage across sessions.