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- Market Research Pro
Market Research Pro
Transform raw customer notes and interview snippets into a prioritized market opportunity map.
$5
Works with the AI tools you already use
Market Research Pro
Example session with this skill installed
Run a market read on the 'AI code editor' space. Inputs: Devs complain about context windows, $20/mo is standard, but some would pay $100 for zero-latency local LLM integration.
- Read your context and instructions
- Compiled the market research pro
I have analyzed the AI code editor market based on your inputs, focusing on the friction between cloud-based latency and the high-value demand for local performance.
Market Research: AI Code Editor Opportunity
| Lens | Analysis |
|---|---|
| Demand Shape | Professional developers; high frequency (daily); growing rapidly as AI becomes a standard workflow requirement. |
| Buyer Jobs | Functional: Write boilerplate faster. Emotional: Stay in "flow state" without waiting for network calls. |
| Friction Map | 1. Network Latency (Top), 2. Context window limits, 3. Privacy concerns with cloud-hosted code. |
| Pay Bands | Current: $20/mo (Standard). Target: $50/mo (Prosumer). Ceiling: $100/mo (Enterprise/High-perf local). |
| White Space | 1. "Zero-latency" local-first editor. 2. Air-gapped secure AI for fintech/defense. 3. Infinite-context indexing for monolithic repos. |
Next moves
- Benchmark latency of current cloud-based plugins vs. a local Llama-3 8B implementation.
- Interview devs paying for $100+ "pro" developer tools to validate the $100/mo ceiling.
- Build a proof-of-concept local indexer that bypasses standard API rate limits.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Founders and product managers often drown in raw customer feedback or surface-level market data without a clear way to prioritize features or positioning. Scattered notes and interview snippets fail to reveal the specific white space where a product can actually win.
What it does
- Analyzes qualitative data using the five-lens Buyer-Lens Framework to identify demand shapes and buyer jobs.
- Maps friction points in existing solutions to reveal exactly where competitors are failing users.
- Estimates willingness to pay by anchoring values to current alternatives and friction-removal premiums.
- Identifies specific white-space opportunities by connecting underserved buyer jobs with high-friction areas.
- Generates a prioritized "Next Moves" list to guide immediate product testing or development.
Why this beats prompting it yourself
General-purpose prompts often return generic marketing advice or vague personas. This skill enforces a strict logical sequence where every opportunity must be anchored to a specific friction point and buyer job found in your data, preventing "hallucinated" market gaps.
Use cases
- Synthesizing user interview notes into a formal market opportunity assessment.
- Analyzing competitor reviews to find unserved "jobs to be done" and pricing ceilings.
- Evaluating a new product idea against existing demand shapes before committing resources.
- Validating a pivot by comparing friction points across two different customer segments.
Known limitations
The skill does not perform live web scraping or primary data collection. It relies entirely on the quality and volume of the notes, quotes, or survey data you provide.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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