This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
中文简介正在准备中。当前显示原文说明。
SaaS pricing design and optimization covering value metric selection, tier architecture, price point research, pricing page design, price increase execution, and competitive pricing analysis.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Production-grade SaaS pricing framework covering the three pricing axes (value metric, packaging, price point), value-based pricing methodology, tier architecture, pricing research methods, pricing page design, price increase execution, and competitive pricing positioning. Pricing is positioning -- the right price communicates as much about your product as your marketing does.
Before designing the pricing, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the deliverable.
Load the reference that matches the task — keep this file lean and pull detail on demand:
In scope: Value metric selection, tier architecture design, price point research (Van Westendorp, competitor benchmarking, willingness-to-pay interviews), pricing page design specifications, price increase strategy and execution, freemium vs free trial decision frameworks, competitive pricing analysis and positioning, and pricing health diagnostics.
Out of scope: Pricing page visual design and CRO (use page-cro), in-app upgrade prompts and paywalls (use paywall-upgrade-cro), signup flow optimization after pricing page (use signup-flow-cro), churn intervention when churn is the root cause (use churn-prevention), and full competitive analysis beyond pricing (use competitive-teardown). Scripts do not integrate with billing systems (Stripe, Chargebee, etc.) or analytics platforms.
Limitations: Van Westendorp analysis requires minimum 30 survey respondents for statistical validity. Pricing benchmarks are based on aggregate SaaS industry data and vary significantly by vertical, company stage, and geography. Credit-based and usage-based pricing models (growing to 38% of SaaS in 2026) have different optimization dynamics than flat-rate or per-seat models. Price elasticity varies by customer segment -- enterprise buyers are less price-sensitive than SMB.
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
中文简介正在准备中。当前显示原文说明。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
中文简介正在准备中。当前显示原文说明。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
中文简介正在准备中。当前显示原文说明。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
中文简介正在准备中。当前显示原文说明。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
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Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
中文简介正在准备中。当前显示原文说明。