Ready-to-use prompts
Finished prompt templates for DataHawk MCP; weekly reports, deep-dives, inventory tracking, and more. Fill in the variables and run.
Finished prompt templates you fill in and run; for recurring reports, weekly reviews, and one-click deep-dives. Each one produces a polished output you can drop into Slack, email, or a team meeting.
Use these when you want a polished, repeatable report. Write your own (see How to write effective MCP prompts) when you have a one-off question that doesn't fit any template here.
How to use a ready-to-use prompt
Each template has three things you'll work with: Variables to set, What to expect, and The prompt itself.
Open the prompt
Pick the template that matches what you want to know.
Read the "Variables to set" section
These are the [FIELD_NAME] placeholders you'll replace (marketplace, thresholds, ASIN list, etc.).
Copy the prompt text
Copy the prompt from the code block.
Replace each placeholder
Swap every [FIELD_NAME] with your own values.
Paste into your AI client and run
Paste into Claude, ChatGPT, or another MCP-connected client and run.
The "What to expect" section on each page tells you what the output will look like, so you'll know whether a run came back the way it should.
Tune the thresholds for your scale
Most templates include threshold values you'll want to adjust to your business.
A $500 spend threshold feels like signal at $50K/week revenue and noise at $5M/week. Same for ACOS percentages, days of cover, and rank-drop counts; what's a flag for one business is normal for another.
When you first run a template, treat the suggested defaults as a starting point. After a week or two of running it, you'll know which thresholds to tighten or loosen.
The library
Routine reports
Deep-dives and diagnostics
Launch and growth
Brand protection and market intelligence
Maintenance
Pin them for one-click use
Most AI clients let you save a prompt so you don't have to paste it every time:
- Claude: Create a Project, paste the template as your custom instructions
- ChatGPT: Create a custom GPT with the template baked in
- Cursor, Lovable, Replit, n8n, Make: Save in your prompt library or call from a workflow
Once pinned, running your weekly summary is one click.
What's next
How to write effective MCP prompts
How to phrase DataHawk MCP prompts so you get the right answer the first time; anatomy, domain vocabulary, patterns, and iteration tips.
Going further with the MCP
Advanced patterns for DataHawk MCP. Faster answers, number verification, multi-marketplace queries, investigation flow, and pro habits.