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AI skill for optimizing and troubleshooting OpenClaw workspaces. 29 providers, tiered model routing, 36-check identity audit, persistent deployment profiles, and one-liner installation across 10 AI tools.

21
5
100% credibility
Found Mar 01, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

The OpenClaw Optimizer is an AI-powered skill for various coding assistants that audits and suggests optimizations for OpenClaw setups to reduce costs, improve reliability, and enforce best practices.

How It Works

1
🔍 Discover the Helper

You find a smart advisor that tunes your AI assistant setup to save money, fix issues, and run smoother without guesswork.

2
📥 Quick Setup

Run a simple download command, and it automatically adds itself to your favorite AI coding tools on your computer.

3
🩺 Run Your First Checkup

Chat with your AI tool and ask it to audit your entire setup, spotting waste, bottlenecks, and hidden problems instantly.

4
💡 Review Smart Fixes

It shows a clear plan of improvements with exact steps, what they'll do, and easy undo options so you stay in control.

5
Apply the Changes

Approve each suggestion one at a time, and watch your system get optimized for speed, reliability, and lower costs.

6
🧠 It Learns and Remembers

Over time, it keeps notes on your unique setup, recalls past fixes, and gets even smarter for future sessions.

🚀 Enjoy Peak Performance

Your AI assistant now hums efficiently, costs less to run, catches issues early, and feels perfectly tailored to you.

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Star Growth

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AI-Generated Review

What is the-openclaw-optimizer?

This Shell script delivers an AI skill for optimizing OpenClaw workspaces, auditing deployments across 29 model providers like Anthropic and Groq, and running a 36-check identity audit on agent files. It detects hidden drains like stuck delivery queues and cron thundering herds, outputs exact CLI fixes with rollbacks, and stores persistent profiles for repeat sessions. One-liner installation deploys it across 10 AI tools, from Claude to Cursor.

Why is it gaining traction?

Tiered model routing slashes costs 50-95% by matching cheap models to heartbeats and premium ones to coding tasks, with configs ready to copy-paste. Persistent profiles load topology and lessons on-demand, cutting context costs, while self-updating advice from real failures beats static docs. Cross-tool support via simple curls hooks devs tired of tool-specific tweaks.

Who should use this?

OpenClaw admins optimizing multi-provider chains or troubleshooting gateway timeouts in production setups. Suited for teams managing cron jobs, agent personalities, and remote Ollama tunnels without constant token waste. If you're chaining models across nodes, this handles audits and routing in one skill.

Verdict

Grab it if you run OpenClaw—the one-liner install and practical audits deliver quick wins despite 18 stars and 1.0% credibility score. Early maturity means verify AI advice manually; strong docs make it low-risk to trial.

(178 words)

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