跳到正文
cccskills
免费在 GitHub 公开

pricing-strategy

Designs pricing strategies for products and services. Takes product/service, costs, target market, competitors. Analyzes cost-plus, value-based, competitor-based, penetration, premium models. Researches competitor pricing. Generates pricing-strategy.md with recommended model, price points, tier structure, discount policies, annual vs monthly analysis, sensitivity to churn, expansion revenue modeling.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(5)

  • SKILL.md3.1 KB
  • references/analysis-framework.md3.6 KB
  • references/best-practices.md3.1 KB
  • references/output-template.md25.6 KB
  • references/required-inputs.md1.4 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Pricing Strategy Designer

Design data-driven pricing strategies that maximize revenue, align with market positioning, and scale with the business across B2B SaaS, consumer products, services, marketplaces, and physical goods.

Contents

  • references/required-inputs.md -- Inputs to gather before starting (product, market, competition, business context).
  • references/analysis-framework.md -- The five pricing models to evaluate (cost-plus, value-based, competitor-based, penetration, premium).
  • references/output-template.md -- Full pricing-strategy.md structure to populate.
  • references/best-practices.md -- Best practices, trigger phrases, and a worked example.

Workflow

  1. Gather inputs. Collect product, cost, market, and competitor information. See references/required-inputs.md. If anything is missing, ask before proceeding.

  2. Research competitors. Use WebSearch and WebFetch to find current competitor pricing. Look for official pricing pages (search "[competitor] pricing"), G2/Capterra/TrustRadius comparisons, recent blog posts or press releases about pricing changes, and Crunchbase for funding and growth signals.

  3. Analyze the market. Determine where the product sits in the competitive landscape using market reports, analyst commentary, and customer reviews that mention pricing.

  4. Build the cost model. Fill in the cost structure with the user. When exact numbers are unavailable, use industry benchmarks and note the assumptions.

  5. Evaluate all five pricing models. Score each model against the specific product and market context using the framework in references/analysis-framework.md. Do not skip a model; even when one is obviously wrong, explain why.

  6. Design the tier structure. Create tiers that align with customer segments, create natural upgrade paths, and maximize expansion revenue.

  7. Model the financials. Project revenue, churn, expansion, and cash flow under multiple scenarios.

  8. Write the strategy document. Generate the full pricing-strategy.md following references/output-template.md. Use real numbers from the research, not placeholders.

Key Principles

  • Cost sets the floor, value sets the ceiling, competitor pricing sets the context; the optimal price sits between floor and ceiling.
  • Design for expansion: build seat, usage, feature, and compliance upgrade triggers into the tier structure.
  • Incentivize annual contracts: they reduce churn, improve cash flow, and smooth forecasting.
  • Price to retain: a 1% improvement in monthly churn often beats a 10% lift in acquisition.

For full best practices, trigger phrases, and a worked example, see references/best-practices.md.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

查看 OneWave-AI 的全部技能

报告此技能的问题