optimization-suggestlisted

# Optimization Suggest Generate data-driven optimization recommendations for Claude Code usage. ## Input The user provides: **$ARGUMENTS** This may be: - "all" or empty (default: comprehensive optimization scan) - "cost" for cost reduction focus - "speed" for performance/speed focus - "quality" for error reduction focus - "efficiency" for workflow efficiency focus ## Procedure 1. **Gather optimization data** from `http://localhost:4820`: - `GET /api/sessions?limit=200` — session history - `GET /api/analytics` — tool and token analytics - `GET /api/pricing/cost` — cost data - `GET /api/pricing` — pricing rules for model comparison - Sample event streams for behavioral analysis 2. **Analyze optimization opportunities**: ### 💰 Cost Optimization - **Model downgrade opportunities**: Tasks completed with expensive models that could use cheaper ones - Compare success rates per model per task type - Calculate savings from model substitution - **Cache optimization**: Sessions with low cache hit rates - Identify sessions that could benefit from better prompt caching - **Early termination**: Sessions that ran longer than needed - Detect sessions where useful work completed well before session end - **Compaction reduction**: Sessions hitting context limits - Suggest breaking large tasks into smaller sessions ### ⚡ Speed Optimization - **Tool selection**: Faster alternatives for commonly-used tool patterns - **Subag