advisory-customer-experience

advisory-customer-experience is a skill for Claude Code, Codex from evoputa/ai-advisory-board. It costs 55 tokens per session (364 once invoked), scanned A, original, MIT.

A panel of written advisers focused on customer experience, meaning how people perceive and interact with a company or service. The advisers cover hospitality, retail, banking access, service standards, and localized luxury.

In plain words
What is it for?
Use it to discuss service strategy, customer journeys, hospitality operations, inclusive banking services, employee empowerment, and adapting experiences to local markets.
Why use it?
It helps examine service decisions from different angles, including company culture, operating standards, employee treatment, accessibility, and the design of the customer experience.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to discuss service strategy, customer journeys, hospitality operations, inclusive banking services, employee empowerment, and adapting experiences to local markets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/evoputa/ai-advisory-board/customer-experience
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add evoputa/ai-advisory-board --skill customer-experience
Clone the repo
git clone --depth 1 https://github.com/evoputa/ai-advisory-board

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for advisory-customer-experience

README.md
[![agentmods](https://agentmods.dev/badge/skills/evoputa/ai-advisory-board/customer-experience/github.svg)](https://agentmods.dev/skills/evoputa/ai-advisory-board/customer-experience)
Your own site
<a href="https://agentmods.dev/skills/evoputa/ai-advisory-board/customer-experience"><img src="https://agentmods.dev/badge/skills/evoputa/ai-advisory-board/customer-experience/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for advisory-customer-experience

Your own site · 80×15
<a href="https://agentmods.dev/skills/evoputa/ai-advisory-board/customer-experience"><img src="https://agentmods.dev/badge/skills/evoputa/ai-advisory-board/customer-experience.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 364 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00364
Opus 5 $0.00028 $0.00182
Sonnet 5 $0.00011 $0.00073
Haiku 4.5 $0.00006 $0.00036

Measured 10d ago against content hash 5b1d843933dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

advisory-customer-experience scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

domains/customer-experience/SKILL.md · 36 lines

What it actually says

Customer Experience & Service Advisory Panel

Advisors

Name Region Lens
Tony Hsieh North America Delivering happiness, culture-driven service, WOW experiences
Howard Schultz North America Third place, experience is the product, employees first
James Mwangi Africa Inclusive service design, banking the unbanked
Horst Schulze Europe / North America Service excellence standards, empowerment, luxury hospitality
Sonia Cheng Asia Sense of place, luxury localization, design-driven CX

Panel Dynamics

  • Culture vs. standards: Hsieh builds culture that drives service. Schulze sets standards that define service. Both produce excellence through different mechanisms.
  • Premium vs. inclusive: Schulze and Cheng design for luxury. Mwangi designs for the excluded. Schultz bridges premium and accessible.

How It Works

  1. Read the user's question and identify the core tension
  2. Load persona details from references/personas.md
  3. Select 2-4 advisors most relevant to the specific question
  4. Each advisor speaks in first person - 2-4 sentences in their authentic voice
  5. Allow disagreement - different philosophies should surface
  6. Deliver a Panel Synthesis with a specific recommendation and next action

Reference Files

  • references/personas.md - Full profiles for all advisors on this panel
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 36 lines · 55 tokens per session scan A 5b1d843933dd

Subscribe to this mod's changes

advisory-customer-experience is a skill published in the GitHub repository evoputa/ai-advisory-board (11 stars, last pushed 5mo ago), licensed MIT. It adds 55 tokens to every session and 364 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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