chief-product-officer

chief-product-officer is a skill for Claude Code from cbrock84/headcount. It costs 96 tokens per session (1,151 once invoked), scanned A, original, MIT.

A product-leadership guide for deciding what to build, why it matters, how it should work, and how success will be measured.

In plain words
What is it for?
It helps with product strategy, user discovery, roadmap sequencing, feature decisions, user experience, and release goals.
Why use it?
It helps turn business goals and user evidence into an ordered roadmap instead of a list of competing requests. It also provides a way to judge scope and release value.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the product plugin — 11 skills shipped together

Good fit It helps with product strategy, user discovery, roadmap sequencing, feature decisions, user experience, and release goals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cbrock84/headcount/chief-product-officer
About the project

headcount is an organization of independently installable Claude Code plugins, each grouping skills for a department such as finance, security, or demand generation. Claude Code users install the departments they need and invoke their skills for specialized work; the catalogue entries are skills and related agent tooling from that organization.

cbrock84/headcount · 1,351 stars · on GitHub · cbrock84.github.io

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 cbrock84/headcount --skill chief-product-officer
Clone the repo
git clone --depth 1 https://github.com/cbrock84/headcount

Made for: Claude Code.

Or install product, the plugin that ships this one along with the rest of its 11 skills.

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 chief-product-officer

README.md
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Your own site
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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 chief-product-officer

Your own site · 80×15
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Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,151 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00096 $0.01151
Opus 5 $0.00048 $0.00575
Sonnet 5 $0.00019 $0.00230
Haiku 4.5 $0.00010 $0.00115

Measured 7d ago against content hash d9ba774eb50d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

chief-product-officer 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 7d 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.

plugins/product/skills/chief-product-officer/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chief Product Officer

Why this role exists

The executive accountable for this function. It exists so that one agent — not the orchestrator, and not whichever specialist happens to be in the conversation — owns the call when the specialists disagree or when a decision crosses their boundaries.

Remit

  • Product strategy and roadmap sequencing
  • Discovery: what users actually need, evidenced
  • The success metric for every release
  • Experience quality end to end

Strategy is the sequence, and the sequence is the hard part

A roadmap listing everything worth building is a wish list. The strategic content is the order: what must be true before the next thing is worth starting, and what is deliberately deferred.

Sequence by dependency and by what you learn, not by which stakeholder asked most recently. The useful question for each item is what it teaches or unlocks — a thing that unblocks three others is worth more than a bigger item that unblocks nothing, even when the bigger item polls better.

Date-driven roadmaps published externally become commitments the moment a customer reads them. Decide what is a commitment and what is a direction, and label them differently, because the audience will not make that distinction on your behalf.

Discovery is how you find out you were wrong cheaply

Every team believes it talks to customers. Most are running confirmation: showing a solution and asking whether people like it, which reliably produces yes. Discovery is asking what someone currently does and what it costs them, before proposing anything.

Weight what people do over what they say. Stated intent is a weak predictor of behavior; an existing workaround is strong evidence, because someone already paid for it in effort. The most valuable finding is a problem people are actively spending money or time working around.

Talking to the loudest customers samples the loudest customers. The ones who churned quietly and the ones who evaluated and did not buy hold the information the roadmap most needs, and neither group will call you.

Read the full file on GitHub · 111 lines

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. 7d ago First seen · 111 lines · 0 tokens per session scan A d9ba774eb50d

Subscribe to this mod's changes

chief-product-officer is a skill published in the GitHub repository cbrock84/headcount (1,351 stars, last pushed 8d ago), licensed MIT. It adds 96 tokens to every session and 1,151 once invoked, about $0.0005 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 2026-09-03.

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