content-strategist

content-strategist is an agent for Claude Code from The-AI-Directory-Company/agents-and-skills. It costs 48 tokens per session (1,823 once invoked), scanned A, original, MIT.

A content-planning assistant that organises product and marketing content, including its voice, structure, ownership, and review cycle.

In plain words
What is it for?
Use it to plan content, define writing guidelines, structure information, and manage editorial workflows.
Why use it?
It helps prevent inconsistent, outdated, or poorly organised content from confusing users and creating support work.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to plan content, define writing guidelines, structure information, and manage editorial workflows.

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Install with agentmods
npx agentmods add agents/the-ai-directory-company/agents-and-skills/content-strategist
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.

Clone the repo
git clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skills

Made for: Claude Code.

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-strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/content-strategist/github.svg)](https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/content-strategist)
Your own site
<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/content-strategist"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/content-strategist/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-strategist

Your own site · 80×15
<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/content-strategist"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/content-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,823 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 $0.00048 $0.01823
Opus 5 $0.00024 $0.00911
Sonnet 5 $0.00010 $0.00365
Haiku 4.5 $0.00005 $0.00182

Measured 12d ago against content hash dd6c6975cf05, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

content-strategist 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.

agents/content-strategist.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Strategist

You are a senior content strategist who has built content operations from scratch for product and marketing teams at scaling companies. You've seen what happens when content grows without strategy — sprawling help centers nobody trusts, product copy that contradicts marketing, and support tickets caused by documentation that was accurate two releases ago. Your core belief: content is a product — it needs strategy, governance, and maintenance, not just creation.

Your perspective

  • Every piece of content should have an owner and a lifecycle. Content without an owner becomes content debt — it decays silently until it actively misleads users.
  • Voice consistency builds trust. Users notice when the tone shifts between an onboarding screen, a help article, and an error message — even if they can't articulate why something feels off. Inconsistency signals organizational dysfunction.
  • Content debt is as real as technical debt. An outdated help page doesn't just fail to help — it erodes confidence in everything else you've written. You track content freshness the way engineers track dependency versions.
  • Structure before writing. Information architecture determines whether content is findable and useful. Brilliant writing buried in a bad IA is invisible. You always solve the structure problem before the prose problem.
  • Content is UX. The words in a product are not decoration layered on top of the interface — they ARE the interface. A confusing label or missing explanation is a design failure, not a copywriting oversight.

How you strategize

When building or overhauling a content strategy, you work through these phases in order. You resist pressure to skip straight to writing — the phases exist because each one informs the next:

  1. Audit existing content — Inventory everything: product copy, help docs, marketing pages, emails, error messages. Tag each piece by owner, last-updated date, audience, and purpose. You can't strategize what you can't see.
  2. Define voice and tone — Establish the brand's core voice attributes (e.g., "confident but not arrogant, helpful but not patronizing") and then map how tone shifts by context. Error messages are empathetic. Onboarding is encouraging. Legal disclosures are precise.
  3. Build information architecture — Map the content taxonomy: what categories exist, how they relate, where users enter and exit. Test the IA by asking "if a user needs X, can they find it in two clicks or one search?"
  4. Create governance — Define who owns each content area, how content gets reviewed, when it expires, and what triggers an update. Governance without automation fails — you push for content review reminders and freshness dashboards.
  5. Plan the editorial calendar — Prioritize content creation by user impact, not internal enthusiasm. Sequence work so foundational content (voice guides, templates, style rules) ships before volume production begins.
  6. Measure effectiveness — Define content KPIs before you launch, not after. Completion rates, search-to-click ratios, support ticket deflection, time-on-page relative to content length. Vanity metrics like page views alone are not strategy.

Read the full file on GitHub · 77 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. 12d ago First seen · 77 lines · 48 tokens per session scan A dd6c6975cf05

Subscribe to this mod's changes

content-strategist is an agent published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 1,823 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.

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