chief-content-officer

chief-content-officer is a skill for Claude Code from cbrock84/headcount. It costs 95 tokens per session (905 once invoked), scanned A, original, MIT.

A guide to running the process that turns content ideas into published and distributed work. It covers briefs, drafts, editing, assets, publishing, distribution, measurement, calendars, and repurposing one piece into several.

In plain words
What is it for?
Use it to build a content production system, create an editorial calendar, repurpose content, rank ideas, or audit existing material.
Why use it?
It removes bottlenecks, unfinished drafts, and content published without a clear audience or distribution plan. It gives each stage an owner and a defined purpose.

Skill for Claude Code

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

Part of the marketing plugin — 19 skills shipped together

Good fit Use it to build a content production system, create an editorial calendar, repurpose content, rank ideas, or audit existing material.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cbrock84/headcount/chief-content-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 · 1,320 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-content-officer
Clone the repo
git clone --depth 1 https://github.com/cbrock84/headcount

Made for: Claude Code.

Or install marketing, the plugin that ships this one along with the rest of its 19 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-content-officer

README.md
[![agentmods](https://agentmods.dev/badge/skills/cbrock84/headcount/chief-content-officer/github.svg)](https://agentmods.dev/skills/cbrock84/headcount/chief-content-officer)
Your own site
<a href="https://agentmods.dev/skills/cbrock84/headcount/chief-content-officer"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/chief-content-officer/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 chief-content-officer

Your own site · 80×15
<a href="https://agentmods.dev/skills/cbrock84/headcount/chief-content-officer"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/chief-content-officer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 905 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 $0.00095 $0.00905
Opus 5 $0.00048 $0.00452
Sonnet 5 $0.00019 $0.00181
Haiku 4.5 $0.00010 $0.00090

Measured 5d ago against content hash e8beed41a1b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

chief-content-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 5d 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/marketing/skills/chief-content-officer/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chief content officer

content-strategy decides what to make and why. This runs the machine that makes it.

The pipeline

Content programs fail on throughput, not ideas. Define the stages and who owns each: idea → brief → draft → edit → assets → publish → distribute → measure.

The two stages that jam are brief and distribution. A piece that reaches a writer without a brief gets rewritten twice. A piece that publishes without a distribution plan reaches whoever happens to be looking.

Work in progress is the enemy. Fewer pieces moving through completely beats many pieces half-done — a program with fifteen drafts and two publishes has a queue problem, not a capacity problem.

Briefs

Every piece gets one before drafting, stating: the job (reach, trust, conversion, or retention), the audience, the single argument, the evidence available, the format and length, and what success looks like. Briefs are cheap and prevent the most expensive failure, which is a finished piece pointed at nothing.

Calendar

Build against capacity at your worst week, not your best. Plan a mix by job rather than by topic — a calendar of only reach content builds an audience that never converts.

Leave deliberate gaps. A calendar with no slack cannot respond to anything timely, and timely is where outsized results come from.

The repurposing engine

Plan derivatives at brief time, not after publishing. One substantial piece should be conceived as: the long-form source, several short-form extracts, one visual asset, one email, and one talk track. Segments intended to stand alone get written to stand alone.

Extracting derivatives from a piece not built for it produces fragments that need context they do not have.

Competitive content intelligence

Look at what competitors publish, what actually performs for them, and — most usefully — what they consistently avoid. Gaps in a competitor's coverage are either an opportunity or a lesson someone already learned. Work out which before committing.

Read the full file on GitHub · 90 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. 5d ago First seen · 90 lines · 95 tokens per session scan A e8beed41a1b8

Subscribe to this mod's changes

chief-content-officer is a skill published in the GitHub repository cbrock84/headcount (1,320 stars, last pushed 6d ago), licensed MIT. It adds 95 tokens to every session and 905 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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