Product Idea Kill Filter
A ruthless 5-stage elimination filter to triage digital product ideas and kill weak concepts before you build them.
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Works with the AI tools you already use
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You say
I want to build a Notion template for tracking plant watering. It's easy for me to make and looks great. I also have an idea for a Python script that automates invoice reconciliation for HVAC techs.
Your agent does
Product Idea Kill Filter
| Idea | Verdict | Main Reason | Confidence | |---|---|---|---| | Plant Tracker | Kill | Saturated market, weak pain intensity. | High | | HVAC Invoices | Build | Strong pain, clear buyer context, high utility. | Medium |
Build This First: HVAC Invoice Automator. Why: Solves a specific, costly problem for a niche with high willingness to pay.
What you get
About this skill
The problem
Creators often waste weeks building digital products that nobody wants or that already saturate the market. Passion and ease of execution frequently mask weak buyer demand and poor market fit.
What it does
- Evaluates product ideas through a 5-stage elimination protocol covering pain intensity, market density, execution complexity, revenue potential, and creator fit.
- Issues definitive verdicts: Kill, Park, or Build.
- Identifies cognitive biases like Attachment Bias or Build Ease Bias that cloud commercial judgment.
- Prioritizes multiple ideas to select a single "Build This First" winner based on commercial logic.
- Provides specific diagnoses for failure points rather than generic encouragement.
Frameworks & tools
Optimized for digital products on platforms like PromptBase, Gumroad, Etsy, and Notion.
Why this beats prompting it yourself
Standard LLM prompts tend to be overly optimistic and "hallucinate" demand to please the user. This skill is hardcoded as an elimination system that forces every idea to earn its survival through strict scoring thresholds and kill triggers.
Use cases
- Triage a back-log of 5 to 10 scattered digital product ideas to find the most viable one.
- Stress-test a single "high-conviction" idea to uncover hidden execution risks or market saturation.
- Revised-drafting of a failed concept to see if repositioning moves the needle from Kill to Build.
- Filtering AI tool concepts for execution complexity vs. potential revenue leverage.
Known limitations
This tool evaluates commercial logic and positioning, it cannot predict real-time market fluctuations or guarantee sales without user-provided data.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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