Profit trap detection
Skill intelligems-io/intelligems-mcp-skills/skills/profit-trap-detection
Ready-to-install Agent Skills for analyzing Intelligems experiments, segments, pricing, and reporting through MCP and API.
npx -y skills add intelligems-io/intelligems-mcp-skills --skill profit-trap-detectionAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Use when a user wants to find Intelligems tests where conversion rate improved but revenue per visitor, gross profit, or another profit metric declined.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
1.7 KB, 310 tokens by cl100k_base, as published. Nobody here has run it
Profit Trap Detection
Use this skill to catch harmful winners before they are implemented.
Steps
- Resolve organization and date range.
- Search ended and active experiments relevant to the request.
- For each test, fetch overview metrics with
analyze_experience. - Compare conversion rate, RPV, GPV, AOV, net revenue, and confidence where available.
- Investigate audience breakdowns if the aggregate result hides a segment problem.
Profit Trap Definition
Flag a test when:
- Conversion rate increases but RPV decreases.
- Conversion rate increases but GPV or margin proxy decreases.
- Order volume increases but AOV drops enough to reduce value.
- A discount, offer, or shipping change wins on orders but loses on profit.
- A strong segment winner masks broad underperformance.
Output
Return:
- Clear list of confirmed, likely, and possible profit traps.
- Metric evidence for each trap.
- Recommended action: do not implement, segment rollout, extend test, or investigate margin inputs.
- Missing data that would change confidence.
- Appendix with source tool calls and experience IDs.
Never call a result safe if profit metrics are missing. Mark it as "conversion-only evidence" instead.
Data Safety
Use only the user's authenticated MCP or API context. Do not save raw responses, exports, graph URLs, order data, customer data, or private store identifiers to the repository. Summarize findings and include experience IDs only when needed for the user's workflow.