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Claude Skills by ibragimov-oasis
github.com/ibragimov-oasis3,183 skills10 installs2,945 views
- 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 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
- OnboardingYou are guiding the user through deploying their own instance of Open-Inspect. This is a multi-phase process requiring user interaction for credential collection and external service configuration.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
- 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
- OnboardingYou are guiding the user through deploying their own instance of Open-Inspect. This is a multi-phase process requiring user interaction for credential collection and external service configuration.Votes: 0GitHub stars: 2
- BlackboxDelegate coding tasks to Blackbox AI CLI agent. Multi-model agent with built-in judge that runs tasks through multiple LLMs and picks the best result. Requires the blackbox CLI and a Blackbox AI API key.Votes: 0GitHub stars: 2
- BaseQuery Base (Ethereum L2) blockchain data with USD pricing — wallet balances, token info, transaction details, gas analysis, contract inspection, whale detection, and live network stats. Uses Base RPC + CoinGecko. No API key required.Votes: 0GitHub stars: 2
- SolanaQuery Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required.Votes: 0GitHub stars: 2
- One Three One RuleStructured decision-making framework for technical proposals and trade-off analysis. When the user faces a choice between multiple approaches (architecture decisions, tool selection, refactoring strategies, migration paths), this skill produces a 1-3-1 format: one clear problem statement, three distinct options with pros/cons, and one concrete recommendation with definition of done and implementation plan. Use when the user asks for a "1-3-1", says "give me options", or needs help choosing be...Votes: 0GitHub stars: 2
- Blender McpControl Blender directly from Hermes via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender.Votes: 0GitHub stars: 2
- Meme GenerationGenerate real meme images by picking a template and overlaying text with Pillow. Produces actual .png meme files.Votes: 0GitHub stars: 2
- CliRun 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavilyVotes: 0GitHub stars: 2
- Docker ManagementManage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.Votes: 0GitHub stars: 2
- AgentmailGive the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. hermes-agent@agentmail.to).Votes: 0GitHub stars: 2
- Neuroskill BciConnect to a running NeuroSkill instance and incorporate the user's real-time cognitive and emotional state (focus, relaxation, mood, cognitive load, drowsiness, heart rate, HRV, sleep staging, and 40+ derived EXG scores) into responses. Requires a BCI wearable (Muse 2/S or OpenBCI) and the NeuroSkill desktop app running locally.Votes: 0GitHub stars: 2
- FastmcpBuild, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.Votes: 0GitHub stars: 2
- Openclaw MigrationMigrate a user's OpenClaw customization footprint into Hermes Agent. Imports Hermes-compatible memories, SOUL.md, command allowlists, user skills, and selected workspace assets from ~/.openclaw, then reports exactly what could not be migrated and why.Votes: 0GitHub stars: 2
- AccelerateSimplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.Votes: 0GitHub stars: 2
- ChromaOpen-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.Votes: 0GitHub stars: 2
- FaissFacebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.Votes: 0GitHub stars: 2