@ruvnet

AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.

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

Agent skill for specification - invoke with $agent-specification

Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.

Run comprehensive worker system benchmarks and performance analysis

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

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

Agent skill for implementer-sparc-coder - invoke with $agent-implementer-sparc-coder

Agent skill for base-template-generator - invoke with $agent-base-template-generator

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

Agent skill for docs-api-openapi - invoke with $agent-docs-api-openapi

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

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

Agent skill for arch-system-design - invoke with $agent-arch-system-design

Agent skill for user-tools - invoke with $agent-user-tools

Agent skill for researcher - invoke with $agent-researcher

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

Agent skill for payments - invoke with $agent-payments

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.

Agent skill for authentication - invoke with $agent-authentication

Agent skill for orchestrator-task - invoke with $agent-orchestrator-task

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

Agent skill for pagerank-analyzer - invoke with $agent-pagerank-analyzer

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

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

Agent skill for project-board-sync - invoke with $agent-project-board-sync

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

Agent skill for workflow-automation - invoke with $agent-workflow-automation

Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect

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

Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform

Agent skill for challenges - invoke with $agent-challenges

Claims-based authorization for agents and operations. Grant, revoke, and verify permissions for secure multi-agent coordination. Use when: permission management, access control, secure operations, authorization checks. Skip when: open access, no security requirements, single-agent local work.

Agent skill for swarm - invoke with $agent-swarm

Agent skill for coder - invoke with $agent-coder

Agent skill for agent - invoke with $agent-agent

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

Agent skill for planner - invoke with $agent-planner

Agent skill for sandbox - invoke with $agent-sandbox

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

Agent skill for pseudocode - invoke with $agent-pseudocode

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

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

Agent skill for github-modes - invoke with $agent-github-modes

Agent skill for architecture - invoke with $agent-architecture

Agent skill for goal-planner - invoke with $agent-goal-planner

AI-assisted pair programming with multiple modes (driver$navigator$switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.

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-agent coordination, or advanced vector search applications.

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.

Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges

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

Agent skill for repo-architect - invoke with $agent-repo-architect

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 millions of vectors.

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, optimizing decision-making, or implementing experience replay systems.

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.

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

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

Agent skill for code-goal-planner - invoke with $agent-code-goal-planner

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 assistants.

Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management

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

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

Agent skill for analyze-code-quality - invoke with $agent-analyze-code-quality

Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

Agent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinator

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

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

Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.

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

Agent skill for automation-smart-agent - invoke with $agent-automation-smart-agent

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 consensus, collective decision making. Skip when: single-agent tasks, simple operations, local-only work.

Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.

Agent skill for agentic-payments - invoke with $agent-agentic-payments

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

Comprehensive security scanning and vulnerability detection. Includes input validation, path traversal prevention, CVE detection, and secure coding pattern enforcement. Use when: authentication implementation, authorization logic, payment processing, user data handling, API endpoint creation, file upload handling, database queries, external API integration. Skip when: read-only operations on public data, internal development tooling, static documentation, styling changes.

Agent skill for trading-predictor - invoke with $agent-trading-predictor

Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer

Web browser automation with AI-optimized snapshots for claude-flow agents

Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.

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, or optimizing agent behavior through experience.

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

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

Agent skill for refinement - invoke with $agent-refinement

GitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.

AI Manipulation Defense System implementation with Midstream, AgentDB, and lean-agentic