AI & Agents

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

AI-powered crypto trading agent, wallet API, and LLM gateway via natural language. Use when the user wants to trade crypto, trade tokenized stocks and ETFs (spot or leveraged), check portfolio balances (with PnL and NFT…

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents,…

Agent skill for resource-allocator - invoke with $agent-resource-allocator

以《学习观》的知识观洞察用户文稿，提炼概念、判别依据与有条件的联结，按文稿自身的关系绘制通俗的形式化知识地图；每个节点都有白话定义、短公式和具体语义，图形不预设层级。USE WHEN 用户调用 /ljg-map，或要求把文章、笔记、讲稿画成形式化地图、思考地形图、概念判别与关系图。NOT FOR 普通摘要、逐段改写、地理地图或单独的公式证明。

Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent ass…

Use, configure, theme, extend, and orchestrate Hermes Agent.

Agent skill for specification - invoke with $agent-specification

Run 397B parameter Mixture-of-Experts LLMs on a MacBook using pure C/Metal with SSD streaming

CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.

Agent skill for load-balancer - invoke with $agent-load-balancer

Use when writing Unreal Engine C++ AI — AI controllers, behavior tree nodes, blackboards, AI perception, navmesh pathfinding, EQS queries or Smart Objects. Also use when the user mentions 'AAIController', 'UBTTaskNode',…

Agent skill for pr-manager - invoke with $agent-pr-manager

Agent skill for swarm-pr - invoke with $agent-swarm-pr

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.

Worker-Agent integration for intelligent task dispatch and performance tracking

Agent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinator

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-ag…

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL,…

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to million…

No description provided.

Agent skill for coordinator-swarm-init - invoke with $agent-coordinator-swarm-init

Agent skill for production-validator - invoke with $agent-production-validator

Agent skill for sandbox - invoke with $agent-sandbox

Agent skill for test-long-runner - invoke with $agent-test-long-runner

No description provided.

Byzantine fault-tolerant consensus and distributed coordination. Queen-led hierarchical swarm management with multiple consensus strategies. Use when: distributed coordination, fault-tolerant operations, multi-agent con…

No description provided.

MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.

Agent skill for adaptive-coordinator - invoke with $agent-adaptive-coordinator

Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker

Agent skill for release-swarm - invoke with $agent-release-swarm

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI.…

Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.

Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).

15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

Agent skill for release-manager - invoke with $agent-release-manager

Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer

Agent skill for swarm-issue - invoke with $agent-swarm-issue

Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist

Agent skill for worker-specialist - invoke with $agent-worker-specialist

Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator

Agent skill for raft-manager - invoke with $agent-raft-manager

Agent skill for app-store - invoke with $agent-app-store

Agent skill for challenges - invoke with $agent-challenges

Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer

Agent skill for sync-coordinator - invoke with $agent-sync-coordinator