Extract concepts from documents, notes, and conversations; connect them into a knowledge graph; support relationship-aware queries, recommendations, and grap...
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
Persistent memory system with security for AI agents. Remembers decisions, preferences, architecture, and context across sessions with knowledge graphs, deca...
Microsoft To Do via Microsoft Graph. List task lists, read tasks, create tasks, update tasks, and mark tasks complete.
Create and query an Obsidian-style [[wikilink]] knowledge graph with learnable repeatable MindSkills for managing and analyzing workspace files.
Three-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX knowledge graph) for long-term agent recall across sessions. One-command setup w...
This skill should be used when the user asks to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "social media preview", "my...
AI agent orchestrator with Neo4j knowledge graph, Meilisearch search, and Tree-sitter parsing. Use for coordinating multiple coding agents on complex projects with shared context and plans.
SOTA Memory Suite — auto-recall, cross-encoder reranking, multi-hop deep search, causal knowledge graph, episodic memory, and nightly sleep-cycle consolidation.
Provide commands for interacting with a local Logseq instance through its Plugin API. Use for creating pages, inserting blocks, querying the graph database, managing tasks, retrieving content, or auto
AI runtime security monitoring — context graph analysis, runtime audit log correlation with CVE findings, and vulnerability analytics queries. Use when the u...
Learned memory graph for AI agents. Policy-gradient routing over document chunks with self-learning, self-regulation, and autonomous correction. Pure Python...
Provides persistent, semantic, and secure AI memory with knowledge graphs, decay-based forgetting, contradiction detection, and multi-layer defence against m...
Persistent memory for AI agents. Store context, recall semantically, never lose important information. ✨ Features: - Hybrid search (semantic + keyword) - Entity extraction & knowledge graph - Multi
Build and navigate DSP (Data Structure Protocol) — graph-based long-term structural memory of codebases for LLM agents. Stores entities (modules, functions),...
Expert SurrealDB 3 architect and developer skill. SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema des...
Connect to personal Microsoft accounts via Microsoft Graph API to manage email, calendar events, and tasks. Use this skill when the user needs to read/write...
Post to Instagram (Feed, Story, Reels, Carousel) and Threads using the official Meta Graph API. Requires Imgur for media hosting.
A robust CLI skill to manage Microsoft To Do tasks via Microsoft Graph API. Supports full task lifecycle management including lists, tasks with priorities, due dates, reminders, recurrence patterns, v
Use The Graph Token API MCP through UXC for token metadata, wallet balances, transfers, holders, pools, and market data with help-first inspection and Token...
Memory infrastructure audit pack. pgvector configuration validation and knowledge graph integrity check. 2 memory tools.
Use The Graph Subgraph MCP through UXC via native SSE with a fixed linked command for subgraph discovery, schema retrieval, deployment selection, and GraphQL...
OneNote API integration with managed OAuth via Microsoft Graph. Access notebooks, sections, section groups, and pages. Use this skill when users want to crea...
AI agent fleet memory system — Qdrant + Mem0 + Neo4j/Graphiti. Composite scoring, compaction engine, temporal knowledge graph, multi-claw federation, sleep-t...