本文へ移動
cccskills
無料GitHub で公開

Pricing Optimizer

Analyzes and optimizes pricing strategy using proven frameworks

インストール方法を見る

含まれるファイル(2)

  • SKILL.md1.9 KB
  • _meta.json302 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

0protocol

無料

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

0xarchive

無料

Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

johnalbertini14-glitch のスキルをすべて見る

このスキルの問題を報告する