claude-flow

Plugin claude-flow from marketplace claude-flow-marketplace in EarthmanWeb/claude-flow-plugin. Commands read from the repo's manifest — 26 days ago.

Skills (38)

• AgentDB Advanced Features

  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.

• AgentDB Learning Plugins

  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.

• AgentDB Memory Patterns

  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.

• AgentDB Performance Optimization

  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.

• AgentDB Vector Search

  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.

• agentic-jujutsu

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

• flow-nexus-neural

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

• flow-nexus-platform

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

• flow-nexus-swarm

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

• github-code-review

  Comprehensive GitHub code review with AI-powered swarm coordination

• github-multi-repo

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

• github-project-management

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

• github-release-management

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

• github-workflow-automation

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

• hive-mind-advanced

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

• Hooks Automation

  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.

• Pair Programming

  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 performanc

• performance-analysis

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

• ReasoningBank with AgentDB

  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.

• ReasoningBank Intelligence

  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.

• Skill Builder

  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.

• sparc-methodology

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

• stream-chain

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

• swarm-advanced

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

• Swarm Orchestration

  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.

• V3 CLI Modernization

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

• V3 Core Implementation

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

• V3 DDD Architecture

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

• V3 Deep Integration

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

• V3 MCP Optimization

  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.

• V3 Memory Unification

  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).

• V3 Performance Optimization

  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.

• V3 Security Overhaul

  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.

• V3 Swarm Coordination

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

• Verification & Quality Assurance

  Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

• worker-benchmarks

  Run comprehensive worker system benchmarks and performance analysis

• worker-integration

  Worker-Agent integration for intelligent task dispatch and performance tracking

• browser

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

MCP servers (3)

• claude-flow

  runs: npx claude-flow@alpha mcp start

• ruv-swarm

  runs: npx ruv-swarm mcp start

• flow-nexus

  runs: npx flow-nexus@latest mcp start

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