# Optimization Suggest

Suggest concrete optimizations for Claude Code usage based on historical session data.

- Repository: https://github.com/hoangsonww/Claude-Code-Agent-Monitor (1136 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill optimization-suggest -g -a claude-code -y`
Codex: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill optimization-suggest -g -a codex -y`
Cursor: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill optimization-suggest -g -a cursor -y`
Gemini CLI: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill optimization-suggest -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add hoangsonww/Claude-Code-Agent-Monitor`

## Description

Suggest concrete optimizations for Claude Code usage based on historical session data. Covers cost reduction, speed improvement, error prevention, and workflow efficiency. Use for data-driven optimization planning.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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
   - **Subagent parallelization**: Tasks that could run in parallel
   - **Session planning**: Better upfront context to reduce back-and-forth
   - **Preemptive context loading**: Frequently needed files/context

The rest: https://github.com/hoangsonww/Claude-Code-Agent-Monitor/blob/HEAD/plugins/ccam-insights/skills/optimization-suggest/SKILL.md