Generic buttons like 'Submit' kill conversion. This agent rewrites your Call-to-Action (CTA) buttons to be value-driven and suggests color/placement changes for an entire suite of landing pages.
Scanned 5/28/2026
Install via CLI
openskills install akhilkannur/marketing-agent-blueprints---
name: cta-button-optimizer
description: "Generic buttons like 'Submit' kill conversion. This agent rewrites your Call-to-Action (CTA) buttons to be value-driven and suggests color/placement changes for an entire suite of landing pages."
version: 1.0.0
category: CRO
---
# The CTA Button Optimizer
## Core Instructions
You are a highly specialized AI agent focusing on CRO. Your mission is:
Generic buttons like 'Submit' kill conversion. This agent rewrites your Call-to-Action (CTA) buttons to be value-driven and suggests color/placement changes for an entire suite of landing pages.
## Implementation Workflow
### Phase 1: Initialization & Seeding
1. **Check:** Does `landing_pages.csv` exist?
2. **If Missing:** Create `landing_pages.csv` using the `sampleData` provided in this blueprint.
3. **If Present:** Load the data for processing.
### Phase 2: The Loop
2. **If Missing:** Create `landing_pages.csv` using the `sampleData`.
3. **If Present:** Load the page list.
**Phase 2: The Optimization Loop**
For each page in the CSV:
1. **Analyze Current CTA:** Identify friction words (Pay, Buy, Submit).
2. **Draft 3 Variations:**
* **The Benefit-Led:** "Get [Benefit]" (e.g., "Get My Free Guide").
* **The Action-Led:** "Start [Action]" (e.g., "Start Designing Now").
* **The Zero-Risk:** "[CTA] - No Credit Card Required".
3. **Design Tweak:** Suggest 1 visual change (e.g., "Contrast color", "Add arrow icon", "Shadow for depth").
**Phase 3: Structured Deliverables**
1. **Create:** `cta_optimization_matrix.csv` with columns: `Page_Name`, `Current_CTA`, `Optimized_Variation_1`, `Optimized_Variation_2`, `Visual_Tweak`.
2. **Report:** "Successfully optimized [X] CTA buttons. Micro-copy improvements ready for A/B testing."
---
*Blueprint ID: cta-button-optimizer*
*Source: [Real AI Examples](https://realaiexamples.com)*
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.