@ruvnet

reasoningbank-intelligence provides adaptive learning for agents via pattern recognition, strategy optimization, and continuous improvement. integrates with agentdb for persistent experience storage and meta-cognitive decision-making.

researcher is a code analysis and pattern recognition agent that gathers information across codebases, maps dependencies, and synthesizes findings into structured reports for downstream agents.

agent-analyze-code-quality evaluates codebases for quality issues, smells, and technical debt across multiple languages. it scans allowed directories, identifies complexity and anti-patterns, and suggests refactoring opportunities with severity ratings.

claims provides a role-based access control framework for agent operations, mapping seven permission types (read, write, execute, spawn, memory, network, admin) to scoped resources via CLI commands. lacks procedural depth and failure handling.

v3-security-overhaul coordinates threat modeling, cve remediation, and security testing via delegated agents. lacks concrete step-by-step execution paths and operational clarity.

agent-tdd-london-swarm documents london school mockist tdd patterns with code examples, but lacks actionable procedure for actual swarm invocation and omits failure handling.

hooks-automation describes an automated coordination layer for claude code operations via pre/post hooks and mcp integration, but lacks specifics on actual implementation, trigger conditions, failure handling, and measurable outcomes.

agent-code-review-swarm deploys specialized ai agents for code review via swarm orchestration. lacks procedural detail, concrete trigger definition, and failure handling guidance.

agent-swarm-pr coordinates multi-agent code review and pr lifecycle management via github integration, but lacks actionable structure and concrete failure handling.

agent-benchmark-suite provides performance benchmarking and regression detection capabilities, though lacks concrete procedures, trigger specifications, and failure handling details.

swarm-memory-manager claims to coordinate distributed memory across agents with caching and synchronization, but the skill lacks actionable procedures, real trigger conditions, and concrete failure handling. mostly aspirational pseudo-code without executable steps.

agent-performance-monitor is a pseudocode-heavy design document that outlines performance monitoring capabilities (metrics collection, bottleneck detection, sla monitoring, anomaly detection) but lacks actionable invocation procedures, concrete trigger phrases, failure handling, and implementation clarity.

agent-crdt-synchronizer declares support for conflict-free replicated data types and eventual consistency but provides no actionable procedure, decision logic, or output contract to invoke or validate synchronization behavior.

agent-swarm describes aspirational multi-agent orchestration capabilities without actionable procedures, concrete inputs, outputs, or decision logic. deployment and coordination mechanics remain unspecified.

agent-v3-memory-specialist claims to unify memory systems via agentdb and hnsw indexing, referencing adrs 006 and 009, but provides no actionable steps, decision logic, or failure handling.

agent-memory-coordinator describes a distributed memory system for cross-session persistence and inter-agent knowledge sharing, but lacks concrete invocation mechanics, actionable procedures, and error handling specifics.

backend-dev is a declarative agent config that claims self-learning via nonexistent agentic-flow apis. trigger coverage is broad but vague. procedure is pseudocode theater with no actionable steps. edge cases absent. marketing language dominates substance.

agent-github-modes claims comprehensive github integration across workflows, prs, and releases but provides no actionable procedure, decision logic, or output contract. the skill is mostly capability list.

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

Agent skill for researcher - invoke with $agent-researcher

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

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

Agent skill for pseudocode - invoke with $agent-pseudocode

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

Agent skill for specification - invoke with $agent-specification

Agent skill for scout-explorer - invoke with $agent-scout-explorer

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

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

Agent skill for migration-plan - invoke with $agent-migration-plan

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

Comprehensive GitHub code review with AI-powered swarm coordination

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

Worker-Agent integration for intelligent task dispatch and performance tracking

Agent skill for spec-mobile-react-native - invoke with $agent-spec-mobile-react-native

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

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

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

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

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

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

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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…

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

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

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

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…

Agent skill for reviewer - invoke with $agent-reviewer

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

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

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Agent skill for tester - invoke with $agent-tester

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

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

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and…

Agent skill for refinement - invoke with $agent-refinement

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

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

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

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

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

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

Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm

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

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Agent skill for architecture - invoke with $agent-architecture

Run comprehensive worker system benchmarks and performance analysis

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

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

Agent skill for planner - invoke with $agent-planner

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

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and…

Agent skill for data-ml-model - invoke with $agent-data-ml-model

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

Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…

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

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

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

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

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

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use…

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

Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build…

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

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

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

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

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

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

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

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

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

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

MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and…

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

Agent skill for authentication - invoke with $agent-authentication

Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel…

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

agent-pagerank-analyzer — an installable skill for AI agents, published by ruvnet/ruflo.

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

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

Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory

Agent skill for challenges - invoke with $agent-challenges

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

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

Agent skill for agent - invoke with $agent-agent

agent-test-long-runner — an installable skill for AI agents, published by ruvnet/ruflo.

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

Agent skill for sandbox - invoke with $agent-sandbox

Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

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

agent-project-board-sync — an installable skill for AI agents, published by ruvnet/ruflo.

Agent skill for ops-cicd-github - invoke with $agent-ops-cicd-github

AI-assisted pair programming with multiple modes (driver$navigator$switch), real-time verification, quality monitoring, and comprehensive testing. Supports…

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

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

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

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

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

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

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

Agent skill for coder - invoke with $agent-coder

Agent skill for neural-network - invoke with $agent-neural-network

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

Agent skill for safla-neural - invoke with $agent-safla-neural

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

Agent skill for payments - invoke with $agent-payments

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

Agent skill for workflow - invoke with $agent-workflow

Agent skill for planner - invoke with $agent-planner