Automate Your Data & Analytics Workflows Using opus

Stop doing repetitive data & analytics tasks manually. opus lets your AI agent handle them automatically through natural conversation. Auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku → Sonnet → 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. This guide shows practical examples of using opus to automate common data & analytics workflows and save hours every week.

Step-by-Step Guide

1. 1

   Install opus: npx clawhub@latest --dir ~/.claude/skills install opus

2. 2

   Identify the repetitive data & analytics tasks you want to automate

3. 3

   Describe the task to your AI in plain English

4. 4

   opus will execute the task and return results directly in the chat

5. 5

   Chain multiple tasks: ask your AI to run a sequence of operations

Example Prompts

Copy these prompts and use them with your AI agent after installing opus

More Use Cases for opus