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Topic: gemini

1,485 skills in this topic.

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.
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
flow-nexus-swarm Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
github-workflow-automation Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
ruvnet/agentic-flow 607
github-multi-repo Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
ruvnet/agentic-flow 607
stream-chain Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
flow-nexus-platform Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
ruvnet/agentic-flow 607
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.
ruvnet/agentic-flow 607
flow-nexus-neural Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
ruvnet/agentic-flow 607
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 performance optimization with truth-score verification.
ruvnet/agentic-flow 607
performance-analysis Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
ruvnet/agentic-flow 607
agentic-jujutsu Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
ruvnet/agentic-flow 607
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).
ruvnet/agentic-flow 607
sparc-methodology SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
ruvnet/agentic-flow 607
hive-mind-advanced Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
ruvnet/agentic-flow 607