Deterministic decision-ranking API with HTTP 402 payments and outcome credits.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install which-llmOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install which-llmβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/which-llm/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Which LLM? Deterministic model selection for agents can do for your AI workflow
Deterministic decision-ranking directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,737+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Which LLM? Deterministic model selection for agents
Help me get started with Which LLM? Deterministic model selection for agents
Explains what Which LLM? Deterministic model selection for agents does, walks through the setup, and runs a quick demo based on your current project
Use Which LLM? Deterministic model selection for agents to deterministic decision-ranking API with HTTP 402 payments and outco...
Invokes Which LLM? Deterministic model selection for agents with the right parameters and returns the result directly in the conversation
What can I do with Which LLM? Deterministic model selection for agents in my developer & devops workflow?
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Which LLM? Deterministic model selection for agents extends your AI assistant with the ability to deterministic decision-ranking API with HTTP 402 payments and outcome credits. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Which LLM? Deterministic model selection for agents as its underlying capability.
Which LLM? Deterministic model selection for agents works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Which LLM? Deterministic model selection for agents once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Which LLM? Deterministic model selection for agents, copy the skill folder to `~/.claude/skills/which-llm/` for use across all your projects, or `.claude/skills/which-llm/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/which-llm` or just describe your goal and the AI will pick it up automatically.
Which LLM? Deterministic model selection for agents has been installed 1,737 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/which-llm/ for personal use (all projects), or .claude/skills/which-llm/ for project-specific use. Restart your AI client, then invoke with /which-llm or let the AI discover it automatically.
Which LLM? Deterministic model selection for agents supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Which LLM? Deterministic model selection for agents is free to install. Check the repository for licensing information.
Deterministic decision-ranking API with HTTP 402 payments and outcome credits.
Model Usage
CuratedUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Model Router
A comprehensive AI model routing system that automatically selects the optimal model for any task. Set up multiple AI providers (Anthropic, OpenAI, Gemini, Moonshot, Z.ai, GLM) with secure API key storage, then route tasks to the best model based on task type, complexity, and cost optimization. Includes interactive setup wizard, task classification, and cost-effective delegation patterns. Use when you need "use X model for this", "switch model", "optimal model", "which model should I use", or to balance quality vs cost across multiple AI providers.
Lists the top use cases for Which LLM? Deterministic model selection for agents, with example commands for each scenario
Automate my developer & devops tasks using Which LLM? Deterministic model selection for agents
Identifies repetitive steps in your workflow and sets up Which LLM? Deterministic model selection for agents to handle them automatically
Which LLM? Deterministic model selection for agents is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.