One-time setup — mint a Cognitum Music personal access token and register the cogmusic MCP server with Claude Code
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Generate a new song from a creative brief (genre, mood, language, BPM, theme) via the cogmusic MCP create_production tool
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Fetch metadata and audio_url for a single production by id
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List the account's saved music productions with metadata and audio_url
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Run a mastering pass (LUFS loudness normalization + peak limiting) on an existing production
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Extract MIDI/score from an existing production
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Run 4-stem separation (vocals/drums/bass/other) on an existing production
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Spawn nested sub-agents (agents that spawn sub-agents, up to depth=5) via Claude Code's native Task tool — for context-managed deep delegation
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Train SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline
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Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern lear
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Aggregate and display system metrics with anomaly detection for a time period
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Trace agent execution by collecting spans and building a trace tree for a task
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Coordinate with the open ruflo swarm federation at x.ruv.io (signed Nostr, membership-gated) and ask Seraphina — the swarm queen / primary coordinator — for gui
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AI-assisted pair programming with multiple modes (driver$navigator$switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD,
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AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD,
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AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD,
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Performance profiling, benchmarking, and optimization. Use when: slow operations, regressions, memory pressure, release validation. Skip when: early prototyping
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Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
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Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
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Detect and flag personally identifiable information (PII) in text, code, and configurations. Use before committing code, writing logs, storing data, or sending
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Run one tick of the sales business-pod (ADR-164 §4.1, Phase 2). Loads templates/sales.json, validates it against the pod-schema, resolves agents against ruflo's
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Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agent
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Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agent
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Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agent
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