copywriting

copywriting is a skill for Claude Code, Codex from eigent-ai/agent-skills. It costs 57 tokens per session (472 once invoked), scanned A, original, Apache-2.0.

A writing workflow for marketing messages across pages, campaigns, product launches, advertisements, and email sequences.

In plain words
What is it for?
It is for drafting or refreshing landing-page text, launch messages, advertisements, emails, headlines, calls to action, and test variants.
Why use it?
It helps turn product details, audience information, and customer problems into clear copy with a specific action for readers.

Skill for Claude CodeCodex

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

Good fit It is for drafting or refreshing landing-page text, launch messages, advertisements, emails, headlines, calls to action, and test variants.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eigent-ai/agent-skills/copywriting
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 eigent-ai/agent-skills --skill copywriting
Clone the repo
git clone --depth 1 https://github.com/eigent-ai/agent-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 copywriting

README.md
[![agentmods](https://agentmods.dev/badge/skills/eigent-ai/agent-skills/copywriting.svg)](https://agentmods.dev/skills/eigent-ai/agent-skills/copywriting)
Your own site
<a href="https://agentmods.dev/skills/eigent-ai/agent-skills/copywriting"><img src="https://agentmods.dev/badge/skills/eigent-ai/agent-skills/copywriting.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 472 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 $0.00057 $0.00472
Opus 5 $0.00028 $0.00236
Sonnet 5 $0.00011 $0.00094
Haiku 4.5 $0.00006 $0.00047

Measured 8d ago against content hash bbac4411018a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

copywriting 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 8d 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/marketing-and-sales/copywriting/SKILL.md · 39 lines

What it actually says

Copywriting

Overview

Use this skill to create marketing copy that is specific to the product, audience, offer, and channel. Apply direct-response frameworks only where they sharpen the message; do not let the framework become visible scaffolding.

Workflow

  1. Gather the minimum viable context:
    • Product, audience, pain point, desired action, channel, constraints, and tone.
    • Existing positioning, proof points, objections, and differentiators when available.
  2. Choose the best structure for the job:
    • AIDA for attention-to-action sequences.
    • PAS for pain-aware audiences.
    • BAB for transformation-focused copy.
    • Clear feature-benefit-proof structure for product launches.
  3. Draft copy with concrete claims, specific benefits, and a clear CTA.
  4. Provide multiple variants when the channel rewards testing, such as ads, subject lines, hero copy, or CTAs.
  5. If editing existing content, preserve accurate claims and improve clarity, specificity, urgency, and fit to the audience.
  6. Flag missing proof, risky claims, or places where product context is too thin.

Output Patterns

  • Landing pages: headline, subhead, primary CTA, proof bullets, objection handling.
  • Email campaigns: subject line, preview text, body, CTA, sequence logic.
  • Ads: channel-compliant headline and description variants.
  • Product launches: announcement copy, benefit explanation, audience-specific angles.

Example Prompts

  • Write the hero section copy for our new AI note-taking app. Target audience: busy knowledge workers. Key benefit: your notes organize themselves. Tone: confident, not hype-y.
  • Write a 3-email launch sequence for our new pricing plan. Email 1: announcement, Email 2: feature deep-dive, Email 3: last chance. CTA is upgrading from free to pro.
  • Write 5 variations of Google ad headlines and descriptions for our project management tool targeting startup founders. Max 30 characters per headline.
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. 8d ago First seen · 39 lines · 57 tokens per session scan A bbac4411018a

Subscribe to this mod's changes

copywriting is a skill published in the GitHub repository eigent-ai/agent-skills (19 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 57 tokens to every session and 472 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 2026-08-30.

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