stci-dataops

jeremylongshore/stci

Daily LLM API pricing benchmark tracking inference costs across major providers. Standardized token cost index for Claude, GPT-4, Gemini, and others.

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Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/jeremylongshore/stci/tree/main/skills/stci-dataops

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/jeremylongshore/stci/tree/main/skills/stci-dataops ~/.claude/skills/stci

# Project-specific

git clone https://github.com/jeremylongshore/stci/tree/main/skills/stci-dataops .claude/skills/stci

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/jeremylongshore/stci/tree/main/skills/stci-dataops"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/jeremylongshore/stci/tree/main/skills/stci-dataops

Option 2: Clone to extensions directory

git clone https://github.com/jeremylongshore/stci/tree/main/skills/stci-dataops ~/.gemini/extensions/stci

Topics

ai analytics api benchmark claude cost-optimization gemini gpt-4 llm pricing token-costs transparency