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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/ruvnet/agentic-flow.Chargement du README du dépôt…
Affichage de 22 skills collectés sur 22.
CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.
Langue du texte source : anglais
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
Langue du texte source : anglais
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
Langue du texte source : anglais
Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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).
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
Langue du texte source : anglais
Quick start guide for agentic-flow - initialize, configure, and run
Langue du texte source : anglais
Configure Claude Code hooks for automated coordination and learning
Langue du texte source : anglais
Persistent memory patterns for cross-session learning and context retention
Langue du texte source : anglais
SPARC development methodology for systematic test-driven development
Langue du texte source : anglais
Orchestrate multi-agent swarms for complex parallel task execution
Langue du texte source : anglais
Run comprehensive worker system benchmarks and performance analysis
Langue du texte source : anglais
Worker-Agent integration for intelligent task dispatch and performance tracking
Langue du texte source : anglais
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Langue du texte source : anglais
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
Langue du texte source : anglais
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Langue du texte source : anglais
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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