customer-panel-of-experts

Solid

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. Use when you want your actual customers in the room before you commit.

AI & Automation 180 stars 30 forks Updated 4 days ago MIT

Install

View on GitHub

Quality Score: 91/100

Stars 20%
75
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Customer Panel of Experts 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. ## When to use it - "Should we raise prices 20%?" — and what each segment will actually do. - "Here's the launch campaign for {product}. Will it land?" - "We're killing {feature} and adding {feature}. Who revolts?" - "Pick between positioning A and positioning B." - Any high-stakes call where you'd normally guess what customers think. ## Step 0 — Get the personas The panel is only as good as its members. In order of preference: 1. **Use an existing persona library.** Look for `personas/` and `icp-profile.md` (output of `icp-deep-scanner`). Load every persona file and `personas/index.md`. 2. **Generate one now.** If none exists and the user has connected tools, run `icp-deep-scanner` first (read-only) to build it from real data. 3. **Bootstrap from input.** If there's no data and no time, build 3–5 provisional personas from what the user tells you — and label the entire session **"PROVISIONAL — not grounded in customer data"** at the top and bottom. Never let a guessed panel masquerade as a researched one. ### Data & security rules - Connecting tools is **read-...

Details

Author
OneWave-AI
Repository
OneWave-AI/claude-skills
Created
7 months ago
Last Updated
4 days ago
Language
N/A
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Listed

panel

Convene the Punakawan - a panel of distinct wayang-character lenses (Threat Modeler, Cost Realist, Change Steward, Restraint Keeper, Scale Forecaster, Consumer Advocate, Operability Watch, Obligation Officer, and the Contrarian) that debate a hard technical question and return one synthesized Semar verdict: consensus, the real disagreements, and a final recommendation with a certainty band. Whenever the user wants more than one expert opinion before a hard call, PICK THIS SKILL instead of answering yourself. Always use it when the user names it or asks for a group: "convene punakawan", "punakawan", "ask the punakawan", "get a panel", "second opinion", "a few expert takes", "weigh the tradeoffs from several angles", "cross-check this". Also use it, even without those words, when the user is: - deciding between options before committing - "X vs Y", split vs merge, rewrite vs keep, framework/architecture/database choices, "is this over-engineered"; - wanting a design, schema, security model, or plan reviewed bef

0 Updated 1 weeks ago
ecowangsa
AI & Automation Solid

ceo-council

Use when needing strategic project analysis from multiple independent expert perspectives. Triggers on business decisions, growth strategy, product direction, competitive analysis, or any situation where diverse C-level opinions reduce blind spots

176 Updated yesterday
serejaris
AI & Automation Listed

convening-experts

Convenes expert panels for problem-solving. Use when user mentions panel, experts, multiple perspectives, MECE, DMAIC, RAPID, Six Sigma, root cause analysis, strategic decisions, or process improvement.

125 Updated 4 days ago
oaustegard