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Claude Skills by ibragimov-oasis
github.com/ibragimov-oasis3,183 skills11 installs2,949 views
- Agentdb LearningCreate 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.Votes: 0GitHub stars: 2
- Agentdb Memory PatternsImplement 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.Votes: 0GitHub stars: 2
- Agentdb OptimizationOptimize 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.Votes: 0GitHub stars: 2
- Agentdb Vector SearchImplement 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.Votes: 0GitHub stars: 2
- Agentic JujutsuQuantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordinationVotes: 0GitHub stars: 2
- ClaimsClaims-based authorization for agents and operations. Grant, revoke, and verify permissions for secure multi-agent coordination. Use when: permission management, access control, secure operations, authorization checks. Skip when: open access, no security requirements, single-agent local work.Votes: 0GitHub stars: 2
- Agentdb AdvancedMaster 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.Votes: 0GitHub stars: 2
- Agentdb LearningCreate 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.Votes: 0GitHub stars: 2
- Agentdb Memory PatternsImplement 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.Votes: 0GitHub stars: 2
- Agentdb OptimizationOptimize 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.Votes: 0GitHub stars: 2
- Agentdb Vector SearchImplement 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.Votes: 0GitHub stars: 2
- Agentic JujutsuQuantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordinationVotes: 0GitHub stars: 2
- Flow Nexus NeuralTrain and deploy neural networks in distributed E2B sandboxes with Flow NexusVotes: 0GitHub stars: 2
- Flow Nexus PlatformComprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challengesVotes: 0GitHub stars: 2
- Flow Nexus SwarmCloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platformVotes: 0GitHub stars: 2
- Github Multi RepoMulti-repository coordination, synchronization, and architecture management with AI swarm orchestrationVotes: 0GitHub stars: 2
- Github Project ManagementComprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planningVotes: 0GitHub stars: 2
- Github Release ManagementComprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback managementVotes: 0GitHub stars: 2
- Github Workflow AutomationAdvanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository managementVotes: 0GitHub stars: 2
- Hive Mind AdvancedAdvanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memoryVotes: 0GitHub stars: 2
- Hooks AutomationAutomated 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.Votes: 0GitHub stars: 2
- Pair ProgrammingAI-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.Votes: 0GitHub stars: 2
- Performance AnalysisComprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarmsVotes: 0GitHub stars: 2
- Reasoningbank AgentdbImplement 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.Votes: 0GitHub stars: 2
- Reasoningbank IntelligenceImplement 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.Votes: 0GitHub stars: 2
- Skill BuilderCreate 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.Votes: 0GitHub stars: 2
- Sparc MethodologySPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestrationVotes: 0GitHub stars: 2
- Stream ChainStream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflowsVotes: 0GitHub stars: 2
- Swarm AdvancedAdvanced swarm orchestration patterns for research, development, testing, and complex distributed workflowsVotes: 0GitHub stars: 2
- Swarm OrchestrationOrchestrate 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.Votes: 0GitHub stars: 2
- V3 Cli ModernizationCLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.Votes: 0GitHub stars: 2
- V3 Core ImplementationCore module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.Votes: 0GitHub stars: 2
- V3 Ddd ArchitectureDomain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.Votes: 0GitHub stars: 2
- V3 Integration DeepDeep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.Votes: 0GitHub stars: 2
- V3 Mcp OptimizationMCP 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.Votes: 0GitHub stars: 2
- V3 Memory UnificationUnify 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).Votes: 0GitHub stars: 2
- V3 Performance OptimizationAchieve 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.Votes: 0GitHub stars: 2
- V3 Security OverhaulComplete 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.Votes: 0GitHub stars: 2
- Verification QualityComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.Votes: 0GitHub stars: 2
- Worker BenchmarksRun comprehensive worker system benchmarks and performance analysisVotes: 0GitHub stars: 2
- Worker IntegrationWorker-Agent integration for intelligent task dispatch and performance trackingVotes: 0GitHub stars: 2
- EmbeddingsVector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.Votes: 0GitHub stars: 2
- Flow Nexus NeuralTrain and deploy neural networks in distributed E2B sandboxes with Flow NexusVotes: 0GitHub stars: 2
- Flow Nexus PlatformComprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challengesVotes: 0GitHub stars: 2
- Flow Nexus SwarmCloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platformVotes: 0GitHub stars: 2
- Github AutomationGitHub workflow automation, PR management, issue tracking, and code review coordination. Integrates with GitHub Actions and repository management. Use when: PR creation, code review, issue management, release automation, workflow setup. Skip when: local-only changes, non-GitHub repositories.Votes: 0GitHub stars: 2
- Github Multi RepoMulti-repository coordination, synchronization, and architecture management with AI swarm orchestrationVotes: 0GitHub stars: 2
- Github Project ManagementComprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planningVotes: 0GitHub stars: 2
- Github Release ManagementComprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback managementVotes: 0GitHub stars: 2
- Github Workflow AutomationAdvanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository managementVotes: 0GitHub stars: 2