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name, description
name description
neural Neural pattern training, prediction, compression, and pipeline optimization

Neural system commands — dispatch by subcommand parsed from the user's input:

  1. train — mcp__plugin_ruflo-core_ruflo__neural_train with --pattern-type (coordination|edit|task) and --epochs N.
  2. status — mcp__plugin_ruflo-core_ruflo__neural_status (SONA + MoE state, active patterns, training in flight).
  3. patterns — mcp__plugin_ruflo-core_ruflo__neural_patterns to list learned patterns; supports --list and --filter.
  4. predict — mcp__plugin_ruflo-core_ruflo__neural_predict with --input "<task description>" to get a predicted outcome.
  5. optimize — mcp__plugin_ruflo-core_ruflo__neural_optimize to retune the pipeline based on recent outcomes.
  6. compress — mcp__plugin_ruflo-core_ruflo__neural_compress to compact stored patterns (storage efficiency, runs after consolidation).

Present results clearly. For train, surface the loss curve summary; for predict, show the predicted agent + confidence; for optimize/compress, show before/after counts.