According to AlphaMoat, as of 2026-09, StartClaw-Optimizer has 3,782 downloads and 1 stars — ranked #2,797 of 5,078 AI skills overall, and #555 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 115 | 3.4K | 1 | 2 |
| SkillHub ↗ | 232 | 3.8K | 1 | — |
Platforms count differently and update at different times.
This skill provides optimization components for Clawdbot subagent workflows: model selection by task complexity, task scheduling with retry and timeout handling, browser-tab management with circuit-breaker protection, context tracking, and a real-time dashboard. The guide includes installation and usage examples for @startclaw/openclaw-optimizer.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.8K | — | 1 |
| 2026-08 | 3.4K | +3.8% | 1 |
| 2026-07 | 3.3K | +9.0% | 1 |
| 2026-06 | 3.0K | +4.1% | 1 |
| 2026-05 | 2.9K | — | 1 |
| 2026-03 | 2.5K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
# 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 LicenseRecords learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.