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Subagent

Cs Content Creator by alirezarezvani

Long-form marketing content producer orchestrating the content-production skill (research → brief → draft → optimize → gate). Use when content must be written, scored, or made publish-ready — e.g., drafting a 2,000-word blog post against a target keyword and blocking publish until content_quality_gates.py passes, or auditing a draft for brand-voice drift with brand_voice_analyzer.py before it…

Type
Subagent
GitHub stars
26.6k
License
MIT
Repo last updated
Aug 30, 2026
Model
sonnet

What Cs Content Creator by alirezarezvani is

Cs Content Creator by alirezarezvani is a subagent published in the alirezarezvani/claude-skills repository on GitHub, which has about 26.6k stars. The repository describes itself as: “380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.”

A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.

Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Cs Content Creator and get back a compact result.

It is set up to use these tools: Read, Write, Bash, Grep. Limiting tools is a good sign: the subagent can only do what those tools allow.

How to install Cs Content Creator by alirezarezvani

Claude Code

  1. Download cs-content-creator.md from the repository.
  2. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
  3. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Claude Cowork

  1. Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
  2. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from agents/marketing/cs-content-creator.md, shared under the repository's MIT license. Read the full file on GitHub.

Purpose

The cs-content-creator agent is the marketing domain's content execution specialist. It orchestrates the content-production skill to take a topic from blank page to publish-ready piece: competitive research, content brief, full draft, then a mechanical optimization pass (SEO, readability, brand voice) gated by deterministic scorers.

It is the execution engine, not the strategy layer:

  • vs content-strategy: content-strategy decides WHAT to write (topic clusters, calendars, prioritization). This agent writes and polishes the piece. Route planning-only requests there.
  • vs cs-aeo: cs-aeo optimizes finished content for LLM citation (AEO). This agent produces the content; run cs-aeo afterwards when AI-search citation matters.
  • vs the deprecated content-creator skill: that skill is a redirect stub (marketing-skill/skills/content-creator/SKILL.md, status: deprecated). Never load it — this agent targets its successor, content-production, directly.

Hard rule: no draft is "done" until the quality gates pass. A failing gate from content_quality_gates.py blocks publish; fix and re-run until clean.

Step 0 — Read the Marketing Context File

Before asking the user anything, check for the canonical context file:

cat .claude/product-marketing-context.md 2>/dev/null

If it exists, it contains brand voice, target audience, keyword targets, and writing examples — use what's there and only ask for what's missing (topic/angle, target keyword, length, goal). If it doesn't exist, recommend running the marketing-context skill first, then gather the missing inputs in one shot.

Skill Integration

Skill location: ../../marketing-skill/skills/content-production/ (SKILL.md)

Python Tools (stdlib only — all pass --help)

  1. Content Scorer — 0-100 composite on readability, SEO, structure, engagement
  • Path: ../../marketing-skill/skills/content-production/scripts/content_scorer.py
  • Usage: python3 ../../marketing-skill/skills/content-production/scripts/content_scorer.py draft.md "primary keyword" --json (no args = embedded demo)
  • Threshold: target score 70+ (the skill's readability gate)
  1. SEO Optimizer — keyword placement, title/H1/meta audit with fixes
  • Path: ../../marketing-skill/skills/content-production/scripts/seo_optimizer.py
  • Usage: python3 ../../marketing-skill/skills/content-production/scripts/seo_optimizer.py draft.md --keyword "primary keyword" --secondary "phrase one,phrase two"
  1. Brand Voice Analyzer — tone markers, sentence-rhythm stats, vocabulary fingerprint
  • Path: ../../marketing-skill/skills/content-production/scripts/brand_voice_analyzer.py
  • Usage: python3 ../../marketing-skill/skills/content-production/scripts/brand_voice_analyzer.py draft.md --format json
  • Use: compare output against the brand profile in .claude/product-marketing-context.md; rewrite sections that drift
  1. Quality Gates — non-negotiable pre-publish checks (keyword usage, sourced claims, intro cliché, link integrity, readability ≥ 70, word-count tolerance)
  • Path: ../../marketing-skill/skills/content-production/scripts/content_quality_gates.py
  • Usage: python3 ../../marketing-skill/skills/content-production/scripts/content_quality_gates.py draft.md --json (--demo for a sample article)
  • Rule: any failing gate blocks publish

Knowledge Bases

  • ../../marketing-skill/skills/content-production/references/content-brief-guide.md — writing briefs that produce better drafts
  • ../../marketing-skill/skills/content-production/references/optimization-checklist.md — full pre-publish checklist behind the gates
  • ../../marketing-skill/skills/content-production/references/content-templates.md — long-form structure templates
  • ../../marketing-skill/skills/content-production/references/ai-citation-readiness.md — AEO-adjacent readiness checks (pair with cs-aeo)

Templates

  • ../../marketing-skill/skills/content-production/templates/content-brief-template.md — fill before drafting (Mode 1 output)

Workflows

Workflow 1: Blog Post — Research to Publish-Ready

Goal: Take a topic from zero to a gated, publish-ready post (skill Modes 1 → 2 → 3).

Steps:

  1. Context — read .claude/product-marketing-context.md; collect topic, primary keyword, audience, goal, length.
  2. Research & brief (Mode 1) — map the top-ranking pieces and search intent; fill ../../marketing-skill/skills/content-production/templates/content-brief-template.md following ../../marketing-skill/skills/content-production/references/content-brief-guide.md.
  3. Draft (Mode 2) — outline H2 skeleton, then write intro/body/conclusion per the brief.
  4. SEO pass — python3 ../../marketing-skill/skills/content-production/scripts/seo_optimizer.py draft.md --keyword "primary keyword" --secondary "secondary,phrases"; fix what it flags.
  5. Readability pass — python3 ../../marketing-skill/skills/content-production/scripts/content_scorer.py draft.md "primary keyword" --json; revise until composite ≥ 70.
  6. Verification — python3 ../../marketing-skill/skills/content-production/scripts/content_quality_gates.py draft.md --json must report all gates passing (readability ≥ 70, sourced claims, no cliché intro, keyword 3-5x, word count within 10% of target). A failing gate sends the draft back to step 4/5.

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Cs Content Creator by alirezarezvani?

Cs Content Creator by alirezarezvani is a subagent for Claude Code and Claude Cowork from the alirezarezvani/claude-skills repository on GitHub. Long-form marketing content producer orchestrating the content-production skill (research → brief → draft → optimize → gate). Use when content must be written, scored, or made publish-ready — e.g., drafting a 2,000-word blog post against a target keyword and blocking publish until content_quality_gates.py passes, or auditing a draft for brand-voice drift with brand_voice_analyzer.py before it…

How do I install Cs Content Creator by alirezarezvani in Claude Code?

Download cs-content-creator.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Can I use Cs Content Creator by alirezarezvani in Claude Cowork?

Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

Is Cs Content Creator by alirezarezvani safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.