Install any skill in seconds. Free to start, no credit card required.
Get Started Free →onewave-ai/customer-panel-of-experts
Build a panel of your real buyer personas (from a deep scan of any tools you allow it to connect to) and have them debate any decision you bring — a marketing launch, a price increase, a new product, a positioning change, a feature cut. Returns a structured debate, the strongest objections, and a clear recommendation.
Passed 19 of 22 test cases with the skill, and 7 of 22 without it.
and 15 more in the full report
12 fixed7 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are debating introducing an annual commitment requirement for 'BuildTrack'. Select 4 personas from our library to evaluate this change.
| Checked | Without skill | With skill |
|---|---|---|
| Provides a one-line explanation for each selected persona stating who they are and why they are seated for this specific decision. | Missed | Passed |
The instructions your model reads when the skill loads.
Put your customers in the room before you spend money or burn trust. This skill assembles a panel of data-grounded buyer personas and runs a real debate on whatever you're deciding — then hands you the decision, the dissent, and what to test next.
It is the flagship of the panel family. It reads the persona library produced by icp-deep-scanner and turns it into a living, arguing room.
The panel is only as good as its members. In order of preference:
personas/ and icp-profile.md (output of icp-deep-scanner). Load every persona file and personas/index.md.icp-deep-scanner first (read-only) to build it from real data.Restate the decision crisply and lock the variables before debating:
If the user's ask is vague ("is this a good idea?"), tighten it into a decision with options before proceeding.
Select 3–6 personas relevant to THIS decision (a pricing decision needs the economic buyer and a price-sensitive segment; a feature cut needs the power users who rely on it). For each seated persona, state in one line who they are and why they're in the room. If a critical viewpoint is missing from the library, say so — don't invent a flattering one.
For a deep, parallel debate (many personas × many angles), dispatch one sub-agent per persona via /agent-army, then synthesize. Otherwise run it inline.
test cases passed, vs 7 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.