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This skill automates the collection and deduplication of trending memes from the web and writes new entries to the Dify knowledge base.

This skill provides local memory for OpenClaw agents by capturing conversations, extracting facts, and recalling relevant knowledge before each turn.

This skill stores and recalls memories with semantic vector search, enabling cross-session recall and targeted memory retrieval for AI agents.

This skill automates memory maintenance for OpenClaw agents by reviewing daily notes, suggesting MEMORY.md updates, and auto-cleansing old files for a

This skill helps design multi-layer memory architectures from working to temporal knowledge graphs, enabling persistent agents and robust reasoning.

This skill provides persistent long-term memory for AI agents, storing, recalling, and reasoning across sessions to improve contextual understanding.

This skill provides complete Memphis 3.6.0 core integration for OpenClaw agents with auto-detection and memory capture.

This skill provides a lightweight, zero-dependency memory system with categorized, tag-based retrieval to help agents organize knowledge efficiently.

This skill helps AI agents persist memory across sessions using Ebbinghaus decay and strength-weighted retrieval.

This skill guides learning through Socratic questioning, asking one focused question at a time to help you discover solutions.

This skill helps you create and update mermaid diagrams following best practices, including color themes, labeling, and formatting guidelines.

This skill helps you discover and call paid AI agents from the MeshCore marketplace with clear pricing and consent prompts.