agentmods.dev

content-marketing

content-marketing is a skill for Claude Code, Codex from m3taz-ahmed/ai-globals. It costs 30 tokens per session (593 once invoked), scanned A, original, MIT.

A content-planning guide for creating useful material around a few core topics and adapting it for different channels. It includes editorial calendars, search-focused planning, repurposing, distribution, and measurement.

In plain words
What is it for?
It helps choose content pillars, plan four-week publishing schedules, turn long-form work into shorter formats, distribute it through social and email channels, and track results.
Why use it?
It helps turn one substantial piece of content into a planned stream of articles, posts, emails, videos, and graphics instead of producing each item separately.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo yesterday A scan 30 tokens original MIT

Good fit It helps choose content pillars, plan four-week publishing schedules, turn long-form work into shorter formats, distribute it through social and email channels, and track results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/m3taz-ahmed/ai-globals/content-marketing
View source ↗ m3taz-ahmed/ai-globals
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 m3taz-ahmed/ai-globals --skill content-marketing
Clone the repo
git clone --depth 1 https://github.com/m3taz-ahmed/ai-globals

Made for: Claude Code, Codex.

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-marketing

README.md
[![agentmods](https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/content-marketing/github.svg)](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/content-marketing)
Your own site
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/content-marketing"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/content-marketing/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-marketing

Your own site · 80×15
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/content-marketing"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/content-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 593 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.
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 $0.00030 $0.00593
Opus 5 $0.00015 $0.00296
Sonnet 5 $0.00006 $0.00119
Haiku 4.5 $0.00003 $0.00059

Measured 12d ago against content hash 4660f5814688, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

content-marketing 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 12d 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-marketing/SKILL.md · 39 lines

What it actually says

[SKILL] content-marketing [OBJ] Build a compounding content asset engine: define pillars, produce evergreen + timely pieces, repurpose across formats, and distribute through every channel.

[RULES]

  1. [REQ] Pillar model: 3-5 core topics (pillars) → cluster articles/videos → internal links back to pillar. One pillar per quarter minimum depth.
  2. [REQ] Editorial calendar: 4-week rolling plan with format (long/post/video/thread), channel, owner, status. Cross-link social-media-marketing for scheduling and email-marketing for nurture.
  3. [CMD] Context7 IDs: gitroomhq/postiz-app (distribution), knadh/listmonk (newsletter), plausible/analytics (performance).
  4. [REQ] Repurpose rule: 1 pillar → 1 long-form → 4 social posts → 1 email → 2 short videos → 1 infographic. Maximize output per input.
  5. [REQ] Quality bar: every piece has a hook, a promise, evidence (data/case), and a CTA. Use copy-frameworks (AIDA/PAS) for the CTA block.
  6. [REQ] SEO alignment: cluster content follows seo-lord brief (keywords, outline, E-E-A-T, internal links). Never orphan a cluster piece.
  7. [REQ] Free-first tools: Postiz for distribution, Listmonk (AGPL) for newsletter, Plausible for measurement. Notion/Sheets as calendar fallback.
  8. [REQ] Arabic/RTL: produce ar + en versions for each pillar when audience is bilingual; mirror calendar; RTL typesetting checked before publish (link arabic-freelance).
  9. [REQ] Performance loop: monthly review of top/bottom 3 pieces by engagement+conversion; double down on winners, retire losers.
  10. [REQ] Evergreen refresh: update pillar content quarterly; set "content decay" alert (≥25% traffic drop) per seo-lord opportunities.

[PROHIBIT]

  1. No content published without a channel + CTA assigned.
  2. No plagiarism or undisclosed AI ghostwriting where disclosure required.
  3. No Arabic asset shipped with broken RTL.
  4. No calendar that ignores measurement feedback.
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. 12d ago First seen · 39 lines · 30 tokens per session scan A 4660f5814688

Subscribe to this mod's changes

content-marketing is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 593 once invoked, about $0.0002 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 2026-08-31.

Marketing and SEOWriting and docs
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