Pricing Strategy Framework#

Overview#

Provides structured frameworks for pricing decisions based on cost, value, and competitive analysis. This is a descriptive skill that provides templates, frameworks, and heuristic analysis without executing real code, accessing external APIs, or performing actual financial transactions.

Trigger#

Use this skill when the user wants to:

• get structured guidance on pricing strategy framework
• apply best-practice frameworks to their financial situation
• generate templates and checklists for financial planning

Example prompts#

• "Help me create a personal budget"
• "Analyze my cash flow forecast"
• "Check my expense categorization"
• "Assess my financial health"
• "Review my receivables aging"
• "Check invoice compliance"
• "Develop a pricing strategy"
• "Find cost reduction opportunities"
• "Optimize my tax deductions"
• "Interpret my financial reports"

Workflow#

1. User provides context and goals.
2. Skill applies built-in templates and frameworks.
3. Skill generates structured output with recommendations.
4. User receives actionable insights and next steps.

Inputs#

• User context (financial situation, goals, constraints)
• Optional data inputs (amounts, categories, timeframes)
• Analysis preferences

Outputs#

• Structured analysis report
• Templates and frameworks
• Actionable recommendations
• Next steps checklist

Usage Scenarios#

1. User input: "We're a B2B SaaS charging $49/seat/month. Competitors charge $29-79. Is our price right?" → Expected output: Pricing diagnostic — value-based pricing analysis, competitive-feature parity map, willingness-to-pay survey design, price-sensitivity modeling (Van Westendorp), and 3 pricing options with revenue-impact projections.
2. User input: "We need to raise prices 20% without losing customers. Build the execution plan." → Expected output: Price-increase playbook — customer-segmentation, grandfathering strategy, value-communication package, churn-risk modeling, win-back offer design, and communication timeline with template emails.
3. User input: "Design a pricing page A/B test strategy for our DTC brand with 3 product tiers." → Expected output: Pricing-page experiment plan — hypotheses to test (anchor pricing, decoy effect, annual-vs-monthly default), variant designs, sample-size calculations, success metrics, and experiment-run calendar.

Scenario 2: 在淘宝卖东西怎么定价不亏又不贵#

User input: "我在淘宝开了家小店卖手工饰品，定价太低没利润，太高没人买。旁边同行卖同款只要30，我成本就25。怎么办？" Expected output: 淘宝/拼多多定价实战——第一步算保本价：成本+包装+运费+平台佣金（淘宝5%/拼多多1%-4%）+推广费（直通车平均点击成本×转化率，约成本20%），这是你的最低不亏价；第二步定锚点价：在同品类中找到定价最高的（锚点）和最低的，你的定价取中间偏上（用品质/包装/服务说明为什么值这个价）；第三步做梯度价格：引流款（接近成本的1-2款吸引流量）+利润款（主力销售款溢价30%-50%）+形象款（高价拉高品牌调性不指望卖）；第四步用满减/第二件半价挤走比价客。关键工具：生意参谋市场行情+店侦探对手分析。

Safety#

• No real financial transactions or API calls
• No access to real bank accounts or financial systems
• Recommendations are informational only
• Users should consult financial professionals for actual decisions

Acceptance Criteria#

• Must return structured markdown/JSON output
• Must include actionable recommendations
• Must clearly state the descriptive/non-executable nature
• Must provide templates or frameworks for user adaptation