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Chief Content Officer

CommunityPopular
cbrock84
chief-content-officer

Runs content as an operation — the production pipeline, editorial calendar, repurposing engine, competitive content intelligence, and audits of what already exists. Use this to build or fix a content production system, plan a calendar, decide how one piece becomes many, rank content ideas by expected impact, or audit an existing library for what to update, consolidate, or retire. For deciding what territory to own and why, use `content-strategy` first.

Overview

Publishercbrock84
Repositoryheadcount
Skill namechief-content-officer
Stars
2K
Forks
316
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 Content 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.
    https://github.com/cbrock84/headcount/tree/main/plugins/marketing/skills/chief-content-officer
  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/marketing/skills/chief-content-officer .claude/skills/chief-content-officer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chief Content 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 Content 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 Content 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 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.

Track their publishing cadence and format mix. A competitor who abandoned a format probably found it did not work.

Ranking ideas

Score on reach potential, strategic fit, evidence available, and effort. Force a stack rank rather than tiers. Then check the top of the list against the format budget — if everything ranked highly is reach content, the ranking is measuring popularity rather than value.

Expanding a chosen idea

Once an idea is picked, expand it before drafting. An idea is a title; a piece needs an argument.

Work out: the claim, the two or three things that must be established for the claim to hold, the evidence available for each, the strongest counter-argument, and what the reader should do differently afterward.

If the counter-argument cannot be answered, that is the more interesting piece — write that one instead.

Only then choose the format. Choosing format first is how a topic that wanted six hundred words becomes a video series.

Auditing an existing library

Inventory everything with its traffic, conversions, and last-updated date, then sort into four piles: update (performing, stale), consolidate (several thin pieces on one topic), promote (good, undistributed — usually the largest and most neglected pile), and retire (no traffic, no links, no strategic value).

Most libraries have more value in the promote pile than in anything unwritten.

Never

  • Start production before the brief names the argument. An idea is a title; a piece needs a claim.
  • Fill the calendar to capacity. A pipeline with no slack cannot absorb the one piece worth dropping everything for.
  • Choose the format before the argument. That is how a topic that wanted six hundred words becomes a video series.
  • Retire a piece that has inbound links without redirecting it.

Frequently asked questions

What does the Chief Content Officer AI skill do?

Runs content as an operation — the production pipeline, editorial calendar, repurposing engine, competitive content intelligence, and audits of what already exists. Use this to build or fix a content production system, plan a calendar, decide how one piece becomes many, rank content ideas by expected impact, or audit an existing library for what to update, consolidate, or retire. For deciding what territory to own and why, use `content-strategy` first.

Why use Chief Content Officer on TypingMind?

Because you install it once and use it with any model. Chief Content 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 Content Officer in TypingMind?

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

Which AI models can use Chief Content 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 Content Officer?

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

Is the Chief Content 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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