llm-cost-optimizer
v2.9.0Use when you need to reduce LLM API spend, control token usage, route between models by cost/quality, implement prompt caching, or build cost observability for AI features. Triggers: 'my AI costs are
By Alireza RezvaniLicense: MIT26k GitHub starsUpdated 3 weeks ago
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 1 skill or MCP entry
- Source updated
- Aug 30, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install llm-cost-optimizer for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install llm-cost-optimizer@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/alirezarezvani/claude-skillsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is engineering/llm-cost-optimizer/.
Plugin files
├── .claude-plugin/plugin.json└── skills/llm-cost-optimizer/SKILL.md
Included Skills1
Use proactively whenever LLM API costs come up -- or should. Triggers include: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching', 'we're about to launch an AI feature', 'build me an AI endpoint'. Don't wait for an explicit cost complaint -- if someone is building an AI feature, designing an LLM endpoint, or choosing between models, cost architecture belongs in the conversation. Apply immediately when any of these are true: a system prompt appears that exceeds a few hundred tokens, all requests are hitting the same model, max_tokens is not set, or no per-feature cost logging exists. NOT for RAG pipeline design (use rag-architect). NOT for improving prompt quality or effectiveness (use senior-prompt-engineer).
Plugin manifests1
{
"name": "llm-cost-optimizer",
"description": "Use when you need to reduce LLM API spend, control token usage, route between models by cost/quality, implement prompt caching, or build cost observability for AI features. Triggers: 'my AI costs are ",
"version": "2.9.0",
"author": {
"name": "Alireza Rezvani",
"url": "https://alirezarezvani.com"
},
"homepage": "https://github.com/alirezarezvani/claude-skills/tree/main/engineering/llm-cost-optimizer",
"repository": "https://github.com/alirezarezvani/claude-skills",
"license": "MIT",
"skills": [
"./skills"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[llm-cost-optimizer on Agent Plugins Marketplace](https://pluginsmp.com/plugins/llm-cost-optimizer)