Marketing Os
Yuzzyuk/marketing-os
A complete marketing department in one skill. An agent skill from Yuzzyuk/marketing-os.
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…
Install Customer Panel Of Experts
$ npx skills add OneWave-AI/claude-skills --skill customer-panel-of-experts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OneWave-AI/claude-skills customer-panel-of-experts --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/customer-panel-of-experts .claude/skills/customer-panel-of-experts && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "customer-panel-of-experts" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/customer-panel-of-experts into .claude/skills/customer-panel-of-experts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-panel-of-experts", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OneWave-AI/claude-skills/tree/main/customer-panel-of-expertsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OneWave-AI/claude-skills --skill customer-panel-of-experts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OneWave-AI/claude-skills customer-panel-of-experts --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/customer-panel-of-experts .agents/skills/customer-panel-of-experts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "customer-panel-of-experts" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/customer-panel-of-experts into .agents/skills/customer-panel-of-experts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-panel-of-experts", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OneWave-AI/claude-skills --skill customer-panel-of-experts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OneWave-AI/claude-skills customer-panel-of-experts --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/customer-panel-of-experts .cursor/skills/customer-panel-of-experts && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "customer-panel-of-experts" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/customer-panel-of-experts into .cursor/skills/customer-panel-of-experts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-panel-of-experts", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OneWave-AI/claude-skills.git --path customer-panel-of-experts--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OneWave-AI/claude-skills --skill customer-panel-of-experts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OneWave-AI/claude-skills customer-panel-of-experts --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/customer-panel-of-experts .gemini/skills/customer-panel-of-experts && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "customer-panel-of-experts" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/customer-panel-of-experts into .gemini/skills/customer-panel-of-experts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-panel-of-experts", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OneWave-AI/claude-skills customer-panel-of-expertsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OneWave-AI/claude-skills --skill customer-panel-of-experts -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/customer-panel-of-experts .github/skills/customer-panel-of-experts && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "customer-panel-of-experts" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/customer-panel-of-experts into .github/skills/customer-panel-of-experts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-panel-of-experts", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OneWave-AI/claude-skills --skill customer-panel-of-experts -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OneWave-AI/claude-skills customer-panel-of-experts --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/customer-panel-of-experts .opencode/skills/customer-panel-of-experts && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "customer-panel-of-experts" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/customer-panel-of-experts into .opencode/skills/customer-panel-of-experts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-panel-of-experts", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
customer-panel-of-experts- GitHub stars
- 336
- Token cost
- ~1.4k tokens
- SKILL.md length
- 655 words
- Files
- 1
- Skills in repo
- 69
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Works in 6 steps: Get the personas → Frame the decision → Seat the panel → …
- You want your actual customers in the room before you commit
- SKILL.md covers When to use it, Step 0 — Get the personas, Step 1 — Frame the decision and Step 2 — Seat the panel, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Customer Panel Of Experts is an agent skill from OneWave-AI/claude-skills. 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.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Positioning and messaging. The repository describes itself as: 200+ production-ready Claude Code skills for sales, marketing, design, engineering, and AI agent architecture. Built and maintained by OneWave AI. The licence is MIT.
When your agent uses it
- You want your actual customers in the room before you commit
- Tasks that involve Positioning and messaging
Example prompts
- “/customer-panel-of-experts”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit fc5b785. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Customer Panel Of Experts loads about 1.4k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 655 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from OneWave-AI/claude-skills at commit fc5b785, republished under its MIT licence (© OneWave-AI). 655 words, ~1,380 tokens.
Download SKILL.mdSave it as
.claude/skills/customer-panel-of-experts/SKILL.md (or your agent's skills folder).- name
- customer-panel-of-experts
- description
- 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.
- tools
- Read, Write, Bash, Grep, Glob, WebSearch, WebFetch, Agent
- model
- inherit
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:
- Use an existing persona library. Look for
personas/andicp-profile.md(output oficp-deep-scanner). Load every persona file andpersonas/index.md. - Generate one now. If none exists and the user has connected tools, run
icp-deep-scannerfirst (read-only) to build it from real data. - 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-only. Never write to, send from, or modify a connected source. Confirm before any exception.
- Personas are archetypes. Do not surface real customer names/emails/account IDs in the debate. Quotes must be scrubbed.
- Secrets stay in env vars / the MCP connection — never printed or stored in output.
Step 1 — Frame the decision
Restate the decision crisply and lock the variables before debating:
- The decision: one sentence, with the specific option(s) on the table.
- What changes for the customer: price, workflow, access, expectation.
- Success metric: what "this went well" means in numbers.
- Reversibility: can we walk it back, and at what cost?
If the user's ask is vague ("is this a good idea?"), tighten it into a decision with options before proceeding.
Show full SKILL.md (300 more words)Show less
Step 2 — Seat the panel
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.
Step 3 — Run the debate
Each persona argues in character, from their real goals, pains, and language — not as a generic critic. Structure:
- Gut reaction — each persona's first, honest read of the decision (one paragraph, in their voice).
- Cross-examination — personas challenge each other. The economic buyer and the end user often want opposite things; let that tension play out. Surface where one persona's win is another's loss.
- The strongest objection — the single most dangerous reaction, stated as that customer would actually say it (and would actually act on — churn, downgrade, public complaint, silence).
- What would change their mind — the concession, proof, or framing that flips a NO to a YES.
Keep personas honest: include the ones who will hate it. A panel that all agrees is a panel you rigged.
Step 4 — Synthesize the decision
# Customer Panel — {Decision}
Generated: {timestamp} · Panel: {persona list} · Grounding: {data-backed / PROVISIONAL}
## Recommendation: {GO / GO WITH CHANGES / NO / TEST FIRST}
One paragraph: what to do and why, in plain language.
## Vote by persona
| Persona | Verdict | Why | If it ships anyway, they will… |
## The objections that matter (ranked)
1. {Objection} — who raises it, how likely to act, blast radius, mitigation.
## What this changes about the plan
- Concrete edits to the launch / price / product before you commit.
## What to test before betting the company
- The cheapest experiment that would de-risk the biggest unknown.
## Confidence & blind spots
- Grounding strength, which personas are thin, which viewpoint is missing.Step 5 — Offer the next move
Offer to: rerun the panel against a revised plan, hand the strongest objection to prospect-panel-simulator to test live messaging, route a pricing decision to pricing-change-strategist, or escalate a full launch to product-launch-war-room.
Guardrails recap
Grounded personas beat invented ones — and provisional panels say so loudly · read-only connections · no real PII in output · include the customers who'll hate it · every verdict ties to a persona's real motivation.
© OneWave-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in customer-panel-of-experts of OneWave-AI/claude-skills.
Open the folder on GitHubat commit fc5b785
Compare with similar skills
Customer Panel Of Experts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Customer Panel Of Experts this skillOneWave-AI/claude-skills | 336 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Marketing OsYuzzyuk/marketing-os | 540 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Revenue Centric Designheliocosta-dev/revenue-centric-design | 740 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Startup Positioningferdinandobons/startup-skill | 1.2k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Stanley Druckenmiller Investmenttradermonty/claude-trading-skills | 3k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| B2b Playbookweilun88313/B2B-Playbook | 203 | — | ~3.1k | Automated safety check: Pass | Proprietary |
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Related
Categories
Questions about Customer Panel Of Experts
What does Customer Panel Of Experts do?
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…. Customer Panel Of Experts is an agent skill from OneWave-AI/claude-skills. 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.
When should I use Customer Panel Of Experts?
Customer Panel Of Experts fits situations like: you want your actual customers in the room before you commit; tasks that involve Positioning and messaging.
How do I install Customer Panel Of Experts in Claude Code?
Run `npx skills add OneWave-AI/claude-skills --skill customer-panel-of-experts -a claude-code`. Or copy the skill folder (customer-panel-of-experts in OneWave-AI/claude-skills) into .claude/skills/customer-panel-of-experts in your project. Claude Code loads it when a task matches its description.
How do I install Customer Panel Of Experts in Codex?
Run `npx skills add OneWave-AI/claude-skills --skill customer-panel-of-experts -a codex`. Or copy the skill folder (customer-panel-of-experts in OneWave-AI/claude-skills) into .agents/skills/customer-panel-of-experts in your project. Codex loads it when a task matches its description.
Can I use Customer Panel Of Experts in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OneWave-AI/claude-skills --skill customer-panel-of-experts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/customer-panel-of-experts, .gemini/skills/customer-panel-of-experts, .github/skills/customer-panel-of-experts and .opencode/skills/customer-panel-of-experts in your project.
What does Customer Panel Of Experts need to run?
SKILL.md names no scripts, command-line tools or credentials: Customer Panel Of Experts is instructions for the agent only.
Does Customer Panel Of Experts access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Customer Panel Of Experts safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Customer Panel Of Experts use?
Customer Panel Of Experts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Customer Panel Of Experts use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Customer Panel Of Experts?
Skills that share tags, products or a category with Customer Panel Of Experts: Marketing Os (Yuzzyuk/marketing-os, 540 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Positioning (ferdinandobons/startup-skill, 1.2k stars) and Stanley Druckenmiller Investment (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Customer Panel Of Experts?
OneWave-AI (a GitHub organization) maintains it in OneWave-AI/claude-skills, which has 336 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.
Source: OneWave-AI/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.