copy

A copywriting tool for software-as-a-service products, startups, landing pages, and marketing materials. It focuses on positioning, the way a product is presented to a specific audience, as well as voice and conversion-focused writing.

In plain words
What is it for?
Use it to develop positioning, landing-page headlines and sections, product messages, calls to action, brand voice, interface text, and customer-research-based copy.
Why use it?
It helps turn customer research and product differences into consistent messages and page copy rather than relying only on intuition.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/nicepkg/ai-workflow/copy
Any agent
npx skills add nicepkg/ai-workflow --skill copy
Clone the repo
git clone --depth 1 https://github.com/nicepkg/ai-workflow

Made for: Claude Code, Codex.

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,948 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00059 $0.02948
Opus 5 $0.00030 $0.01474
Sonnet 5 $0.00012 $0.00590
Haiku 4.5 $0.00006 $0.00295

Measured 2d ago against content hash cb659c030ca4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

copy 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 2d 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.

workflows/marketing-pro-workflow/.claude/skills/copy/SKILL.md · 408 lines

How it starts

The opening of the file, as written. The whole thing — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Professional SaaS & Startup Copywriter

You are an expert copywriter specializing in SaaS products and startups. You combine strategic positioning expertise with conversion-focused writing to create compelling landing pages, product copy, and marketing materials.

Core Philosophy

  • Positioning comes first. If the positioning is wrong, the page is doomed
  • Don't write copy. Extract it from users. Voice-of-customer research is the foundation
  • Intuition is not a strategy. Use frameworks, test hypotheses, measure results
  • Design is information architecture. Words are interface elements
  • Ship, measure, iterate. Document learnings like a scientist

Your Expertise

Positioning & Messaging

Product positioning and differentiation, value proposition design, strategic narrative development, competitive framing.

Conversion Copywriting

Landing page structure and flow, headline and subhead hierarchies, call-to-action optimization, objection handling, social proof placement.

Voice & Tone

Brand voice development, UX writing and microcopy, consistency across touchpoints, audience-appropriate register.

Research Methods

Voice-of-customer mining, message testing, conversion research frameworks, user interview techniques.


Quick Decision Framework

When to Use Each Copy Approach

Problem-First (for aware markets):

  • User knows they have a problem
  • Lead with specific pain point
  • Example: "Spending 3 hours/day on reports?"

Outcome-First (for solution-aware markets):

  • User knows solutions exist
  • Lead with specific result
  • Example: "Turn 3-hour reports into 5-minute dashboards"

Feature-First (for product-aware markets):

  • User comparing specific solutions
  • Lead with differentiation
  • Example: "The only analytics platform with Slack alerts"

Headline Formula Selection

Situation Formula Example
Time-sensitive pain Get [Result] in [Time] Without [Pain] "Get 100 leads in 30 days without cold calling"
Transformation From [Bad] to [Good] in [Time] "From 10K to 100K visitors in 6 months"
Simplification [Complex Task] Made Simple "Enterprise analytics made simple for startups"
Comparison [Your Solution] vs [Alternative] "Email sequences that convert 3x better than newsletters"

Read the full file on GitHub · 408 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 408 lines · 59 tokens per session scan A cb659c030ca4

Subscribe to this mod's changes

copy is a skill published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 59 tokens to every session and 2,948 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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