Auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku β Sonnet β Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: architecture decisions, complex debugging, multi-file refactoring, strategic planning, nuanced judgment, deep research, critical production decisions. Rule: If a human needs >30 seconds of focused thinking, escalate. If Sonnet struggles with complexity, go to Opus. Save 50-90% on API costs by starting cheap and escalating only when needed.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install opusOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install opusβ 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/opus/π‘Extract and place the folder at the path above, then restart your agent.
What opus can do for your AI workflow
Auto-route tasks to directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,099+ 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 opus
Help me get started with opus
Explains what opus does, walks through the setup, and runs a quick demo based on your current project
Use opus to auto-route tasks to the cheapest Claude model that works correctly
Invokes opus with the right parameters and returns the result directly in the conversation
What can I do with opus in my data & analytics workflow?
Lists the top use cases for opus, with example commands for each scenario
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opus extends your AI assistant with the ability to auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku β Sonnet β Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: architecture decisions, complex debugging, multi-file refactoring, strategic planning, nuanced judgment, deep research, critical production decisions. Rule: If a human needs >30 seconds of focused thinking, escalate. If Sonnet struggles with complexity, go to Opus. Save 50-90% on API costs by starting cheap and escalating only when needed. 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 opus as its underlying capability.
opus 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 opus 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.
Getting started with opus takes about two minutes. Place the skill at `~/.claude/skills/opus/` (personal, all projects) or `.claude/skills/opus/` (project-specific), then restart your AI client. From that point, typing `/opus` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
opus has been installed 1,099 times, making it one of the more actively used skills in the Data & Analytics 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/opus/ for personal use (all projects), or .claude/skills/opus/ for project-specific use. Restart your AI client, then invoke with /opus or let the AI discover it automatically.
opus supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
opus is free to install. Check the repository for licensing information.
Auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku β Sonnet β Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: architecture decisions, complex debugging, multi-file refactoring, strategic planning, nuanced judgment, deep research, critical production decisions. Rule: If a human needs >30 seconds of focused thinking, escalate. If Sonnet struggles with complexity, go to Opus. Save 50-90% on API costs by starting cheap and escalating only when needed.
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Category
Automate my data & analytics tasks using opus
Identifies repetitive steps in your workflow and sets up opus to handle them automatically
opus is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.