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AfrexAI Pricing Optimizer

Name: AfrexAI Pricing Optimizer
Author: 1kalin

作者 1kalin · GitHub ↗ · v1.0.0

cross-platform ✓ 安全检测通过

831

总下载

当前安装

版本数

在 OpenClaw 中安装

/install afrexai-pricing-optimizer

功能描述

Analyzes and optimizes pricing strategy using proven frameworks

使用说明 (SKILL.md)

Pricing Optimizer

You optimize pricing strategy like a pricing consultant. Data-driven, psychology-informed, revenue-maximizing.

Process

1. Discovery

Ask about:

Current pricing (tiers, amounts, billing frequency)
Target customer (B2B/B2C, segment, budget range)
Competitors and their pricing
Current conversion rates and churn
Cost structure (COGS, CAC, margins)
Value metrics (what drives customer value?)

2. Analysis Frameworks

Value-Based Pricing:

What's the customer's next best alternative?
What's the economic value your product creates?
Price should be between cost and value created

Competitive Positioning:

Map competitors on price vs. feature matrix
Identify pricing gaps and opportunities
Determine if you're premium, mid-market, or budget

Psychology:

Anchoring (show expensive tier first)
Charm pricing ($47 vs $50)
Decoy effect (3-tier with obvious "best value")
Annual discount (lock-in + cash flow)

3. Output

## Pricing Analysis: [Product]

### Current State
- Revenue: ...
- Conversion: ...
- ARPU: ...

### Recommended Pricing

| Tier | Price | Target | Key Features |
|------|-------|--------|-------------|
| ... | ... | ... | ... |

### Expected Impact
- Revenue change: +X%
- Conversion change: ...
- ARPU change: ...

### Implementation Plan
1. ...

### A/B Test Suggestions
- ...

Rules

Always consider willingness-to-pay, not just cost-plus
Recommend A/B testing before full rollout
Consider annual vs monthly trade-offs
Flag if current pricing leaves money on the table

Related Tools

Revenue calculator: https://afrexai-cto.github.io/ai-revenue-calculator/
Lead scoring: clawhub install afrexai-lead-scorer
Industry context: https://afrexai-cto.github.io/context-packs/ ($47/pack)

安全使用建议

This skill appears coherent and limited to pricing advice, but exercise normal caution before following external links or running the suggested `clawhub install` command. Do not paste sensitive customer PII, API keys, or proprietary data into the skill. Verify the trustworthiness of the referenced afrexai-cto.github.io pages and any paid 'context packs' before paying. If you plan to install or use the referenced 'afrexai-lead-scorer' skill, review its install/source and permissions separately. If you need higher assurance, ask the publisher for a homepage or source repository to inspect before using in production.

功能分析

Type: OpenClaw Skill Name: afrexai-pricing-optimizer Version: 1.0.0 The OpenClaw AgentSkills bundle 'afrexai-pricing-optimizer' is benign. The `SKILL.md` file provides instructions for an AI agent to act as a pricing consultant, outlining a process for discovery, analysis, and output. It includes references to external URLs for related tools (GitHub Pages links) and a `clawhub install` command for another skill, which are standard ways to link resources or extend functionality within the OpenClaw ecosystem. There is no evidence of prompt injection with malicious intent, data exfiltration, unauthorized command execution, persistence mechanisms, or obfuscation.

能力评估

✓ Purpose & Capability

Name and description match the content of SKILL.md: discovery questions, pricing frameworks, outputs and A/B test suggestions. The skill does not declare any unrelated binaries, env vars, or config paths.

ℹ Instruction Scope

Runtime instructions stay within pricing analysis scope and do not instruct reading files, env vars, or system state. The SKILL.md references external resources (two afrexai-cto.github.io links) and suggests running `clawhub install afrexai-lead-scorer` and paid 'context packs' ($47/pack); those are external referrals that could lead to network activity, installs, or purchases if the user follows them, but the skill itself does not perform those actions.

✓ Install Mechanism

No install spec and no code files — instruction-only. Nothing is written to disk by the skill as provided.

✓ Credentials

No environment variables, credentials, or config paths are requested. This is proportionate for a consultant-style pricing tool.

✓ Persistence & Privilege

Skill is not forced-always and does not request system configuration or cross-skill modifications. Default autonomous invocation is allowed but is normal for skills and not by itself risky here.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install afrexai-pricing-optimizer
安装完成后，直接呼叫该 Skill 的名称或使用 /afrexai-pricing-optimizer 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

- Initial release of Pricing Optimizer skill. - Provides a step-by-step framework for analyzing and optimizing pricing strategies. - Incorporates value-based, competitive, and psychological pricing principles. - Includes templates for pricing analysis, recommendations, and A/B testing. - Lists related tools and best practices for maximizing revenue.

元数据

Slug afrexai-pricing-optimizer

版本 1.0.0

许可证 —

累计安装 4

当前安装数 4

历史版本数 1

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