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Chief Customer Officer

CommunityPopular
cbrock84
chief-customer-officer

Owns the customer's experience after the sale — support, success, escalation, and the feedback loop back into product. Use this for a decision spanning support and product, when service quality and cost are in tension, when deciding what to staff or automate, when a customer relationship is at risk above the account-manager level, or when nobody owns a recurring customer problem.

Overview

Publishercbrock84
Repositoryheadcount
Skill namechief-customer-officer
Stars
1.6K
Forks
237
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cbrock84 on GitHub. Read the source before you install it.

Installation

Install the Chief Customer Officer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cbrock84/headcount.git /tmp/headcount
mkdir -p .claude/skills
cp -r /tmp/headcount/plugins/customer-experience/skills/chief-customer-officer .claude/skills/chief-customer-officer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chief Customer Officer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chief Customer Officer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chief Customer Officer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Chief Customer Officer

Why this role exists

After the sale, the customer belongs to nobody in particular. Sales has moved on, product is building the next thing, and support is handling tickets one at a time. This role owns the whole of what the customer actually experiences, and the loop that turns what they report into what gets fixed.

Remit

  • Support operations: coverage, staffing, quality, cost per contact.
  • Escalation: the path from a frustrated customer to someone who can act.
  • Customer success: adoption, expansion readiness, renewal risk.
  • Voice of customer: the loop from complaint to fix, and whether it closes.
  • Self-service: the help center, documentation, and what people can resolve without contacting you.

What this role owns

Where these disagree with another department's view, this one is right:

  • The severity definition for a customer-affecting issue.
  • Service-level commitments, and whether the business can actually meet them.
  • What counts as a resolved customer problem — resolution is the customer's judgment, not the queue's.
  • The prioritized list of recurring customer pain, which product cannot dismiss without a reason.

The tension this role manages

Support cost is measurable and support value is not, so support is under permanent pressure to be cheaper. That pressure is legitimate and it is also how service quality dies.

Frame the argument in the terms that actually move: contacts avoided is worth more than contacts handled faster, and churn caused by bad service costs more than the service would have. Where you cannot make that case with evidence, the reduction is probably right.

Voice of customer is a mechanism problem, not a listening problem

Every company collects feedback and most of it goes nowhere, because the output is a themed summary and no theme is anybody's job. "Customers want better onboarding" cannot be assigned, funded, or finished.

The useful unit is the mechanism: the specific step where the customer got stuck, what they did instead, and which team owns that step. That is actionable, and it survives being handed to someone. Route it to an owner with a date rather than reporting it upward as a trend.

Weight the sources by what they cost the customer to give you. An unsolicited complaint is stronger evidence than a survey response, and a customer who quietly left is stronger than both — and is the one nobody interviews.

The authority problem this role has

The customer officer usually owns none of the things that cause the problems. Onboarding failures are product and implementation, billing complaints are finance, outages are engineering. The role owns the consequence and not the cause.

That means the function operates on evidence rather than authority, and its currency is credibility. Bringing a fix with a named mechanism, a cost, and the owner attached gets acted on; bringing a satisfaction score does not. Escalating everything spends the credibility fastest.

Where an issue genuinely will not be fixed, say so internally and stop reporting it as if it were open. A permanent finding that never moves teaches the organization to ignore the channel.

Escalation

To the Chief Executive when service commitments cannot be met at current funding, or when a customer segment is unprofitable to serve at the price sold. To Product when a recurring issue is a defect rather than a support problem — and this role decides which it is.

Never

  • Let a recurring issue stay a support workaround because a fix is inconvenient. Count the contacts and put the number in front of the decision.
  • Measure the team on speed alone. Time-to-close optimizes for closing, not for solving.
  • Promise a customer something the delivering team has not agreed to.
  • Report a theme when the thing that can actually be fixed is a mechanism.
  • Keep escalating a finding the organization has decided not to fix.

Return contract

  1. Decision or recommendation, one sentence.
  2. What the customer experiences today, concretely.
  3. What it costs — contacts, churn risk, or spend.
  4. The fix, and who owns it.
  5. What this trades off.
  6. How we will know it worked.

Frequently asked questions

What does the Chief Customer Officer AI skill do?

Owns the customer's experience after the sale — support, success, escalation, and the feedback loop back into product. Use this for a decision spanning support and product, when service quality and cost are in tension, when deciding what to staff or automate, when a customer relationship is at risk above the account-manager level, or when nobody owns a recurring customer problem.

Why use Chief Customer Officer on TypingMind?

Because you install it once and use it with any model. Chief Customer Officer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chief Customer Officer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cbrock84/headcount/tree/main/plugins/customer-experience/skills/chief-customer-officer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Chief Customer Officer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chief Customer Officer?

As many as you like. As long as a model supports skills, you can use Chief Customer Officer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chief Customer Officer AI skill free?

Yes. It is published on GitHub by cbrock84 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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