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.
npx skills add brainbytes-dev/everything-claude-marketing --skill cta-optimizationgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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.
[](https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/cta-optimization)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/cta-optimization"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/cta-optimization/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.
<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/cta-optimization"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/cta-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.02288 |
| Opus 5.5 | $0.00010 | $0.00915 |
| Sonnet 5.5 | $0.00005 | $0.00458 |
| Haiku 4.5 | $0.00003 | $0.00229 |
Grade A, and why
cta-optimization 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTA Optimization
When to Activate
Use this skill whenever you're writing, reviewing, or optimizing calls-to-action across any marketing channel: landing pages, emails, ads, social media posts, pop-ups, pricing pages, or in-app prompts. A weak CTA can kill an otherwise perfect piece of copy.
First Questions
- What action do you want the user to take? (sign up, buy, download, book a call, subscribe)
- Where does this CTA appear? (email, landing page, ad, social post, pricing page, pop-up)
- What funnel stage is the user in? (awareness, consideration, decision)
- Is there a primary CTA and a secondary CTA?
- What objections might prevent the click?
CTA Psychology Principles
Loss Aversion
People are 2x more motivated to avoid a loss than to gain an equivalent benefit. Frame CTAs around what the user will miss.
- Weak: "Sign up for our newsletter"
- Strong: "Don't miss next week's strategy breakdown"
The Curiosity Gap
Create a gap between what users know and what they want to know, then position the CTA as the bridge.
- "See what's inside" / "Reveal your score" / "Find out how you compare"
Urgency and Scarcity
Real urgency drives action. Manufactured urgency destroys trust.
- Legitimate: "Offer ends Friday at midnight" / "12 spots remaining (live counter)"
- Unethical: Fake countdown timers that reset, "Only 3 left!" on a digital product
Commitment and Consistency
Start with small commitments that lead to larger ones. Micro-CTAs build toward macro-CTAs.
- "Take the 2-minute quiz" before "Start your free trial"
Social Proof in CTAs
Embedding proof into or near the CTA reduces friction.
- "Join 14,000+ marketers" / "Start your free trial — rated 4.9/5 on G2"
The CTA Formula
Action Verb + Value Proposition + [Urgency Modifier]
Strong Action Verbs by Intent
| Intent | Verbs |
|---|---|
| Get access | Get, Claim, Unlock, Access, Grab |
| Start using | Start, Try, Launch, Activate, Begin |
| Learn | Discover, Learn, See, Explore, Reveal |
| Buy | Buy, Order, Reserve, Secure, Invest |
| Connect | Book, Schedule, Talk to, Chat with, Meet |
| Save | Save, Download, Keep, Store, Bookmark |
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.
- 2mo ago First seen · 258 lines · 25 tokens per session scan A 7dab0833002c
cta-optimization is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 25 tokens to every session and 2,288 once invoked, about $0.0001 per session on Opus 5.5. 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.
cta-optimization compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cta-optimizationbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 25 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |