Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session
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Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection
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Initialize a new Ruflo project with MCP tools, hooks, and agent configuration. Use when setting up Ruflo in a fresh repo, or when the user says "init ruflo", "s
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Route tasks via the 3-tier model selector and learned patterns; emits a routing rationale via hooks_explain
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Publish or fetch learned patterns across projects via IPFS (Pinata) -- the cross-project pattern transfer that hooks_transfer enables
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Detect and classify telemetry anomalies on Cognitum Seed devices. Use when investigating a device that's reporting odd metrics, before approving a firmware cana
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Orchestrate firmware rollouts with canary deployment and anomaly-gated advancement
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Create and manage Cognitum Seed device fleets with firmware policies
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Register a Cognitum Seed device by endpoint and establish agent bridge
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Verify witness chain integrity and detect provenance gaps
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Extract entities and relations from source files to build a knowledge graph
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Pathfinder traversal of the knowledge graph starting from a seed entity
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Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
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Run Ruflo background workers using Claude Code native /loop scheduling
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Run an Anthropic Claude Managed Agent — a cloud agent harness (container + filesystem + tools), the cloud counterpart of the local wasm-agent runtime
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Ingest and normalize market data into OHLCV vectors with HNSW indexing
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Detect and classify candlestick patterns from ingested OHLCV data
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Bridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search
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AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral
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AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning
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SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
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Create a new sequentially numbered database migration with up/down SQL files
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Validate pending migrations for foreign key consistency, rollback safety, and best practices
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Stream live swarm events using the Monitor tool for real-time observability
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