全部 Agent Skills
41,263 个结果
- Kg ExtractruvnetExtract entities and relations from source files to build a knowledge graph
- Kg TraverseruvnetPathfinder traversal of the knowledge graph starting from a seed entity
- Llm ConfigruvnetConfigure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
- Loop WorkerruvnetRun Ruflo background workers using Claude Code native /loop scheduling
- Managed AgentruvnetRun an Anthropic Claude Managed Agent — a cloud agent harness (container + filesystem + tools), the cloud counterpart of the local wasm-agent runtime
- Market IngestruvnetIngest and normalize market data into OHLCV vectors with HNSW indexing
- Market PatternruvnetDetect and classify candlestick patterns from ingested OHLCV data
- Memory BridgeruvnetBridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search
- Memory ManagementruvnetAgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base.
- Memory SearchruvnetSOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
- Migrate CreateruvnetCreate a new sequentially numbered database migration with up/down SQL files
- Migrate ValidateruvnetValidate pending migrations for foreign key consistency, rollback safety, and best practices
- Monitor StreamruvnetStream live swarm events using the Monitor tool for real-time observability
- Music MidiruvnetExtract MIDI/score from an existing production
- Neural TrainruvnetTrain SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline
- Neural TrainingruvnetNeural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.
- Observe MetricsruvnetAggregate and display system metrics with anomaly detection for a time period
- Observe TraceruvnetTrace agent execution by collecting spans and building a trace tree for a task
- Performance AnalysisruvnetComprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
- Pii DetectruvnetDetect and flag personally identifiable information (PII) in text, code, and configurations. Use before committing code, writing logs, storing data, or sending model responses that might contain emails, phone numbers, SSNs, API keys, or passwords.
- ReasoningBank IntelligenceruvnetImplement 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.
- Reasoningbank IntelligenceruvnetImplement 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.
- Reasoningbank With AgentdbruvnetImplement 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.
- Research SynthesizeruvnetSynthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations