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ruvnetAGENTS.mdruvnet/RuView/.claude/commands/monitoring/agents.md
Tool: mcpclaude-flowagent_list In Claude Code: 1. List all agents: Use tool mcpclaude-flowagentlist 2. Get specific agent metrics: Use tool mcpclaude-flowagentmetrics with parameters {"agentId": "coder-123"} 3. Monitor agent performance: Use tool mcpclaude-flowswarm_monitor with parameters {"interval": 2000}
28 projects use a version of this
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-advanced/SKILL.md
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.
30 projects use a version of this
Often used withV3 DDD Architectureagent-agentV3 Memory Unification
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-learning/SKILL.md
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.
30 projects use a version of this
Often used withV3 DDD Architectureagent-agentV3 Memory Unification
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-memory-patterns/SKILL.md
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.
30 projects use a version of this
Often used withV3 Core Implementationagentic-jujutsuV3 DDD Architecture
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-optimization/SKILL.md
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.
30 projects use a version of this
Often used withV3 Core Implementationagentic-jujutsuV3 DDD Architecture
ruvnetSkillruvnet/RuView/.claude/skills/agentdb-vector-search/SKILL.md
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.
30 projects use a version of this
Often used withagent-code-review-swarmV3 DDD Architectureagent-test-long-runner
ruvnetSkillruvnet/RuView/.claude/skills/browser/SKILL.md
Web browser automation with AI-optimized snapshots for claude-flow agents
62 projects use a version of this
Often used withV3 Core ImplementationV3 DDD ArchitectureV3 Deep Integration
ruvnetSkillruvnet/RuView/.claude/skills/github-project-management/SKILL.md
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Often used withV3 DDD Architectureworker-benchmarksagent-agent
ruvnetSkillruvnet/RuView/.claude/skills/pair-programming/SKILL.md
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.
Often used withV3 CLI Modernizationagentic-jujutsubrowser
ruvnetSkillruvnet/RuView/.claude/skills/reasoningbank-agentdb/SKILL.md
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.
Often used withV3 DDD Architectureworker-benchmarksagent-agent
ruvnetSkillruvnet/RuView/.claude/skills/reasoningbank-intelligence/SKILL.md
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.
Often used withV3 Core Implementationagentic-jujutsuV3 DDD Architecture
ruvnetSkillruvnet/RuView/.claude/skills/skill-builder/SKILL.md
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.
Often used withV3 CLI Modernizationagentic-jujutsubrowser
ruvnetSkillruvnet/RuView/.claude/skills/sparc-methodology/SKILL.md
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
Often used withV3 Core Implementationagentic-jujutsuV3 DDD Architecture
ruvnetSkillruvnet/RuView/.claude/skills/stream-chain/SKILL.md
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Often used withV3 DDD Architectureworker-benchmarksagent-agent
ruvnetSkillruvnet/RuView/.claude/skills/swarm-advanced/SKILL.md
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
Often used withV3 CLI Modernizationagentic-jujutsubrowser
ruvnetSkillruvnet/RuView/.claude/skills/swarm-orchestration/SKILL.md
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.
Often used withV3 CLI Modernizationagentic-jujutsubrowser
ruvnetSkillruvnet/RuView/.claude/skills/v3-cli-modernization/SKILL.md
CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
Often used withagentic-jujutsuflow-nexus-neuralflow-nexus-platform
ruvnetSkillruvnet/RuView/.claude/skills/v3-core-implementation/SKILL.md
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
Often used withworker-benchmarksflow-nexus-swarmagentic-jujutsu
ruvnetSkillruvnet/RuView/.claude/skills/v3-ddd-architecture/SKILL.md
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
Often used withagent-agentagent-analyze-code-qualityagent-app-store
ruvnetSkillruvnet/RuView/.claude/skills/v3-integration-deep/SKILL.md
Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
Often used withagentic-jujutsuflow-nexus-neuralflow-nexus-platform
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
