content-engine

content-engine is a command for Claude Code from indranilbanerjee/digital-marketing-pro. It costs 23 tokens per session (1,341 once invoked), scanned A, original, MIT.

A content-drafting workflow for blog posts, advertisements, emails, social posts, landing pages, video scripts, press releases, case studies, and content calendars. It uses the requested audience, topic, key messages, content type, and brand voice.

In plain words
What is it for?
Use it to create or improve marketing content for channels such as Google, Meta, LinkedIn, TikTok, YouTube, Instagram, and email.
Why use it?
It gives each draft a defined format and audience instead of producing generic copy. It also checks the draft against stated brand and search-visibility requirements.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS.md)..

Part of the digital-marketing-pro plugin — 154 skills, 18 commands, 24 agents shipped together

Good fit Use it to create or improve marketing content for channels such as Google, Meta, LinkedIn, TikTok, YouTube, Instagram, and email.

Compare 6 commands from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro
agentmods
npx agentmods add commands/indranilbanerjee/digital-marketing-pro/content-engine

Made for: Claude Code.

Or install digital-marketing-pro, the plugin that ships this one along with the rest of its 154 skills, 18 commands, 24 agents.

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-engine

README.md
[![agentmods](https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/content-engine/github.svg)](https://agentmods.dev/commands/indranilbanerjee/digital-marketing-pro/content-engine)
Your own site
<a href="https://agentmods.dev/commands/indranilbanerjee/digital-marketing-pro/content-engine"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/content-engine/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-engine

Your own site · 80×15
<a href="https://agentmods.dev/commands/indranilbanerjee/digital-marketing-pro/content-engine"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/digital-marketing-pro/content-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,341 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 $0.00023 $0.01341
Opus 5 $0.00012 $0.00671
Sonnet 5 $0.00005 $0.00268
Haiku 4.5 $0.00002 $0.00134

Measured 9d ago against content hash 58f2147db82b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

content-engine 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 9d 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.

commands/content-engine.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Engine

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Generate marketing content drafts tailored to a specific content type, audience, and brand voice. Covers blog posts, ad copy, email campaigns, social media, landing pages, video scripts, press releases, and case studies — with built-in SEO optimization, brand compliance, and quality evaluation.

Trigger

User runs /digital-marketing-pro:content-engine or asks to draft, write, create, or optimize marketing content.

Inputs

Gather the following from the user. If not provided, ask before proceeding:

  1. Content type — one of:

    • Blog post or article
    • Ad copy (specify platform: Google, Meta, LinkedIn, TikTok)
    • Email (single email, newsletter, or sequence)
    • Social media post (specify platform: LinkedIn, Twitter/X, Instagram, Facebook, Threads)
    • Landing page copy
    • Video script (YouTube, TikTok, Instagram Reels, explainer)
    • Press release
    • Case study
    • Content calendar
  2. Topic — the subject or theme of the content

  3. Target audience — who this content is for (role, industry, pain points, buying stage)

  4. Key messages — 2-4 main points or takeaways to communicate

  5. Additional context (optional):

    • Tone override (if different from brand default)
    • Length target or format constraints
    • Primary keyword for SEO
    • Call to action
    • Campaign context or related content

Brand Voice

  • If a brand profile exists at ~/.claude-marketing/brands/, apply voice settings automatically (formality, energy, humor, authority scales)
  • Load guidelines, restrictions, approved messaging, and channel-specific tone overrides
  • If no brand profile exists, ask: "Do you have brand voice guidelines? If not, I'll use a professional tone."

Content Generation by Type

Blog Post / Article

  • 2-3 headline options with SEO keyword in the primary
  • Hook introduction (question, statistic, bold statement, or story)
  • 3-5 sections with descriptive subheadings using related keywords
  • Supporting evidence, examples, and data references
  • Conclusion with clear call to action
  • SEO: meta title, meta description, internal linking suggestions, keyword placement

Read the full file on GitHub · 147 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. 9d ago First seen · 147 lines · 23 tokens per session scan A 58f2147db82b

Subscribe to this mod's changes

content-engine is a command published in the GitHub repository indranilbanerjee/digital-marketing-pro (797 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 1,341 once invoked, about $0.0001 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.