content-matrix

content-matrix is a skill for Claude Code from charlie947/social-media-skills. It costs 101 tokens per session (1,154 once invoked), scanned A, original, MIT.

A method for creating at least 32 LinkedIn post ideas by combining your main topics with eight established post formats. LinkedIn is a professional social network.

In plain words
What is it for?
Use it to generate post ideas, organize content themes, and decide what to publish on LinkedIn.
Why use it?
It turns a small set of topics into a structured list of possible posts, so you do not have to invent every idea from scratch.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool; mentions Claude Code.

Part of the social-media-skills plugin — 17 skills shipped together

Good fit Use it to generate post ideas, organize content themes, and decide what to publish on LinkedIn.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/charlie947/social-media-skills/content-matrix
About the project

charlie947/social-media-skills is a collection of markdown instructions that gives AI agents specialized workflows for creating and managing social-media content. It supports a content system spanning LinkedIn, Instagram, Substack, X, and YouTube, with shared voice and context files guiding the individual skills.

charlie947/social-media-skills · 3,385 stars · on GitHub

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 charlie947/social-media-skills --skill content-matrix
Clone the repo
git clone --depth 1 https://github.com/charlie947/social-media-skills

Made for: Claude Code.

Or install social-media-skills, the plugin that ships this one along with the rest of its 17 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 content-matrix

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlie947/social-media-skills/content-matrix/github.svg)](https://agentmods.dev/skills/charlie947/social-media-skills/content-matrix)
Your own site
<a href="https://agentmods.dev/skills/charlie947/social-media-skills/content-matrix"><img src="https://agentmods.dev/badge/skills/charlie947/social-media-skills/content-matrix/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 content-matrix

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlie947/social-media-skills/content-matrix"><img src="https://agentmods.dev/badge/skills/charlie947/social-media-skills/content-matrix.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,154 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
  • Socket pass 20 May 2026
  • Snyk pass 20 May 2026
  • 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 $0.00101 $0.01154
Opus 5 $0.00051 $0.00577
Sonnet 5 $0.00020 $0.00231
Haiku 4.5 $0.00010 $0.00115

Measured 13d ago against content hash dae28fbfc83e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

content-matrix 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 13d 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.

skills/content-matrix/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Matrix

CRITICAL: Auto-start on load

When this skill triggers, go straight to Step 1. Do not summarise. Start input gathering immediately.

Step 1. Gather inputs

Check the project for about-me.md. If it exists, read it and pre-fill the description of who the user is. Skip that question and tell the user what you pulled.

If about-me.md is missing, ask:

Give me at least two paragraphs describing who you are, what you do, and what you like to discuss. The more specific you are, the more relevant the ideas.

Wait for response.

Then call AskUserQuestion:

[
  {
    "question": "What are your content pillars?",
    "header": "Pillars",
    "multiSelect": false,
    "options": [
      {"label": "I will type them", "description": "I have 3 to 4 content pillars to use"},
      {"label": "Pull from voice.md", "description": "Use the topics already defined in my voice files"},
      {"label": "Suggest them for me", "description": "Based on my about-me.md, recommend 4 pillars"}
    ]
  }
]

If the user types their own, accept 3 to 5 pillars. If fewer than 3, ask for more.

If the user picks "Suggest them for me", read about-me.md, propose 4 pillars covering their positioning, and ask them to confirm or edit before continuing.

Step 2. Build the matrix

Generate a markdown table with:

  • X axis (columns): 8 content formats, always in this order:
    1. Actionable
    2. Motivational
    3. Analytical
    4. Contrarian
    5. Observation
    6. X vs Y
    7. Present vs Future
    8. Listicle
  • Y axis (rows): the user's 3 to 5 pillars

Every cell contains one specific, concrete post idea tailored to the pillar and format. Not generic. Not reusable across pillars.

Format definitions to apply when filling each cell:

  • Actionable: Ultra-specific how-to. Teaches the reader to do one thing.
  • Motivational: Inspirational story about someone who did something extraordinary in the niche.
  • Analytical: Breakdown of why something works the way it does.
  • Contrarian: Go against the common advice in the niche and back it up.
  • Observation: A hidden, silent, or underdiscussed trend the user has noticed.
  • X vs Y: Compare two entities (tools, styles, frameworks, companies).
  • Present vs Future: Current state vs a specific prediction, with the why.
  • Listicle: A list of resources, tips, mistakes, lessons, or steps.

Read the full file on GitHub · 99 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. 13d ago First seen · 99 lines · 101 tokens per session scan A dae28fbfc83e

Subscribe to this mod's changes

content-matrix is a skill published in the GitHub repository charlie947/social-media-skills (3,385 stars, last pushed 13d ago), licensed MIT. It adds 101 tokens to every session and 1,154 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 2026-08-30.

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