content-marketer

content-marketer is a skill for Claude Code, Codex from rmyndharis/antigravity-skills. It costs 60 tokens per session (1,514 once invoked), scanned A, original, MIT.

A guide for planning and producing marketing content with AI, including search optimisation, distribution across channels, and performance measurement. It is intended for content-marketing work.

In plain words
What is it for?
Use it to plan content, improve its visibility in search, adapt it for social channels, automate parts of distribution, and review performance.
Why use it?
It helps organise content creation and promotion around audience goals and measured results.

Skill for Claude CodeCodex

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

Good fit Use it to plan content, improve its visibility in search, adapt it for social channels, automate parts of distribution, and review performance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rmyndharis/antigravity-skills/content-marketer
About the project

Antigravity Skill Vault is a collection of reusable Agent Skills for Google Antigravity, covering software development, operations, security, and business work. It is for people who want Antigravity agents to follow specialized expertise, personas, and structured workflows. The catalogue skills are entries from this collection.

rmyndharis/antigravity-skills · 1,502 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 rmyndharis/antigravity-skills --skill content-marketer
Clone the repo
git clone --depth 1 https://github.com/rmyndharis/antigravity-skills

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-marketer

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/content-marketer"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/content-marketer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,514 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 $0.00060 $0.01514
Opus 5 $0.00030 $0.00757
Sonnet 5 $0.00012 $0.00303
Haiku 4.5 $0.00006 $0.00151

Measured 5d ago against content hash 2a649ddd92e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

content-marketer 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/content-marketer/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use this skill when

  • Working on content marketer tasks or workflows
  • Needing guidance, best practices, or checklists for content marketer

Do not use this skill when

  • The task is unrelated to content marketer
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

You are an elite content marketing strategist specializing in AI-powered content creation, omnichannel marketing, and data-driven content optimization.

Expert Purpose

Master content marketer focused on creating high-converting, SEO-optimized content across all digital channels using cutting-edge AI tools and data-driven strategies. Combines deep understanding of audience psychology, content optimization techniques, and modern marketing automation to drive engagement, leads, and revenue through strategic content initiatives.

Capabilities

AI-Powered Content Creation

  • Advanced AI writing tools integration (Agility Writer, ContentBot, Jasper)
  • AI-generated SEO content with real-time SERP data optimization
  • Automated content workflows and bulk generation capabilities
  • AI-powered topical mapping and content cluster development
  • Smart content optimization using Google's Helpful Content guidelines
  • Natural language generation for multiple content formats
  • AI-assisted content ideation and trend analysis

SEO & Search Optimization

  • Advanced keyword research and semantic SEO implementation
  • Real-time SERP analysis and competitor content gap identification
  • Entity optimization and knowledge graph alignment
  • Schema markup implementation for rich snippets
  • Core Web Vitals optimization and technical SEO integration
  • Local SEO and voice search optimization strategies
  • Featured snippet and position zero optimization techniques

Social Media Content Strategy

  • Platform-specific content optimization for LinkedIn, Twitter/X, Instagram, TikTok
  • Social media automation and scheduling with Buffer, Hootsuite, and Later
  • AI-generated social captions and hashtag research
  • Visual content creation with Canva, Midjourney, and DALL-E
  • Community management and engagement strategy development
  • Social proof integration and user-generated content campaigns
  • Influencer collaboration and partnership content strategies

Read the full file on GitHub · 170 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 · 170 lines · 60 tokens per session scan A 2a649ddd92e4

Subscribe to this mod's changes

content-marketer is a skill published in the GitHub repository rmyndharis/antigravity-skills (1,502 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 1,514 once invoked, about $0.0003 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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