Best use case
OpenClaw Optimizer Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## Overview
Teams using OpenClaw Optimizer Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/startclaw-optimizer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How OpenClaw Optimizer Skill Compares
| Feature / Agent | OpenClaw Optimizer Skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## Overview
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# OpenClaw Optimizer Skill
## Overview
The OpenClaw Optimizer is a comprehensive performance and cost optimization skill designed to enhance the efficiency of Clawdbot's subagent workflows.
## Core Components
### 1. Task Router
- Intelligent model selection based on task complexity
- Automatic routing between Haiku, Sonnet, and Opus models
- Cost prediction and optimization
### 2. Scheduler
- Robust task execution with retry mechanism
- Configurable preflight and postflight hooks
- Timeout and exponential backoff handling
### 3. Browser Governor
- Browser tab serialization
- Concurrent tab management
- Circuit breaker for preventing runaway processes
### 4. Context Compaction
- Automatic token tracking
- Summarization at 50,000 token threshold
- Preserves critical context
### 5. Real-time Dashboard
- Monitor daily budget
- Track task execution
- Visualize model distribution
- Circuit breaker status
## Expected Savings
**Before Optimization:** $90/day
**After Optimization:** $3-5/day
**Savings:** 95%
## Installation
```bash
npm install @startclaw/openclaw-optimizer
```
## Usage
```javascript
const { TaskRouter, OptimizerScheduler, BrowserGovernor } = require('@startclaw/openclaw-optimizer');
const router = new TaskRouter();
const scheduler = new OptimizerScheduler();
const browserGovernor = new BrowserGovernor();
// Automatic model and cost optimization
const modelSelection = router.selectModel(taskDescription);
await scheduler.execute(task, modelSelection);
```
## Monitoring
```bash
# Real-time dashboard
python3 scripts/dashboard.py watch
```
## License
StartClaw Internal Use LicenseRelated Skills
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