/intelligence

name: intelligence
description: Intelligence dashboard -- stats, metrics, model routing, routing rationale on demand

Show the intelligence system dashboard:

1. Call `mcp__plugin_ruflo-core_ruflo__hooks_intelligence_stats` to get pattern counts, trajectory history, and SONA learning state. 2. Call `mcp__plugin_ruflo-core_ruflo__hooks_metrics` to get the metrics dashboard (trajectory throughput, learn-cycle latency, pattern delta). 3. Call `mcp__plugin_ruflo-core_ruflo__hooks_model-stats` for 3-tier model routing distribution (Tier 1 booster / Tier 2 Haiku / Tier 3 Sonnet/Opus). 4. Call `mcp__plugin_ruflo-core_ruflo__neural_status` for neural pattern + SONA / MoE state. 5. **(Optional `--why <task>`)** — Call `mcp__plugin_ruflo-core_ruflo__hooks_explain` with the task to get the routing rationale.

Present a summary table:

• Pattern count + active trajectories (from intelligence_stats)
• Tier distribution % (from model-stats)
• Last consolidation timestamp (from neural_status / intelligence_stats)
• Recent metric deltas (from hooks_metrics)
• Routing rationale paragraph (only when `--why` given)

If patterns are stale, suggest:

npx @claude-flow/cli@latest hooks pretrain --path . --depth medium
npx @claude-flow/cli@latest mcp exec -t agentdb_consolidate