pricing-strategy

$npx mdskill add OneWave-AI/claude-skills/pricing-strategy

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.

SKILL.md

.github/skills/pricing-strategyView on GitHub ↗
---
name: pricing-strategy
description: 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.
tools: Read, Glob, Grep, WebFetch, WebSearch
model: inherit
---

# 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`.

More from OneWave-AI/claude-skills

SkillDescription
accessibility-auditorAudit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
agent-armyDeploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. 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.
agent-swarm-deployerDeploys 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.
agent-team-builderDesigns 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.
agent-to-agentAgent-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.
ai-readiness-assessmentAssesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.
animateGenerate animated videos and motion graphics from natural language descriptions. Creates a standalone Vite + React project with Framer Motion scenes that auto-play in the browser. Use when the user wants to create animations, motion graphics, video intros, animated presentations, or product demos.
api-documentation-writerGenerate comprehensive API documentation including endpoint descriptions, request/response examples, authentication guides, error codes, and SDKs. Creates OpenAPI/Swagger specs, REST API docs, and developer-friendly reference materials. Use when users need to document APIs, create technical references, or write developer documentation.
api-endpoint-scaffolderGenerate REST API endpoints with proper structure, validation, error handling, and types. Use when creating new API routes, endpoints, or backend services.
api-load-testerLoad tests API endpoints with progressive concurrency. Measures response times, error rates, throughput, and identifies breaking points. Generates a detailed report with latency percentiles, throughput curves, bottleneck analysis, and optimization recommendations.