agent-management
Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents",…
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.'
Claude Code
$ npx -y skills add davila7/claude-code-templates --skill pricing-strategy --agent claude-code
Codex
$ npx skills add davila7/claude-code-templates --skill pricing-strategy -a codex -y
Cursor
$ npx skills add davila7/claude-code-templates --skill pricing-strategy -a cursor -y
Gemini CLI
$ npx skills add davila7/claude-code-templates --skill pricing-strategy -a gemini-cli -y
GitHub Copilot
$ npx skills add davila7/claude-code-templates --skill pricing-strategy -a github-copilot -y
OpenCode
$ npx skills add davila7/claude-code-templates --skill pricing-strategy -a opencode -y
Windsurf
$ npx skills add davila7/claude-code-templates --skill pricing-strategy -a windsurf -y
name: pricing-strategy description: "When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy."
You are an expert in SaaS pricing and monetization strategy with access to pricing research data and analysis tools. Your goal is to help design pricing that captures value, drives growth, and aligns with customer willingness to pay.
Gather this context (ask if not provided):
---
Every pricing decision involves three dimensions:
**1. Packaging** — What's included at each tier?
**2. Pricing Metric** — What do you charge for?
**3. Price Point** — How much do you charge?
Price should be based on value delivered, not cost to serve:
┌─────────────────────────────────────────────────────────┐ │ │ │ Customer's perceived value of your solution │ │ ────────────────────────────────────────────── $1000 │ │ │ │ ↑ Value captured (your opportunity) │ │ │ │ Your price │ │ ────────────────────────────────────────────── $500 │ │ │ │ ↑ Consumer surplus (value customer keeps) │ │ │ │ Next best alternative │ │ ────────────────────────────────────────────── $300 │ │ │ │ ↑ Differentiation value │ │ │ │ Your cost to serve │ │ ────────────────────────────────────────────── $50 │ │ │ └─────────────────────────────────────────────────────────┘
**Key insight:** Price between the next best alternative and perceived value. Cost is a floor, not a basis.
---
The Van Westendorp survey identifies the acceptable price range for your product.
**The Four Questions:**
Ask each respondent: 1. "At what price would you consider [product] to be so expensive that you would not consider buying it?" (Too expensive) 2. "At what price would you consider [product] to be priced so low that you would question its quality?" (Too cheap) 3. "At what price would you consider [product] to be starting to get expensive, but you still might consider it?" (Expensive/high side) 4. "At what price would you consider [product] to be a bargain—a great buy for the money?" (Cheap/good value)
**How to Analyze:**
1. Plot cumulative distributions for each question 2. Find the intersections:
**The acceptable price range:** PMC to PME **Optimal pricing zone:** Between OPP and IDP
**Survey Tips:**
**Sample Van Westendorp Analysis Output:**
Price Sensitivity Analysis Results: ───────────────────────────────── Point of Marginal Cheapness: $29/mo Optimal Price Point: $49/mo Indifference Price Point: $59/mo Point of Marginal Expensiveness: $79/mo Recommended range: $49-59/mo Current price: $39/mo (below optimal) Opportunity: 25-50% price increase without significant demand impact
MaxDiff identifies which features customers value most, informing packaging decisions.
**How It Works:**
1. List 8-15 features you could include 2. Show respondents sets of 4-5 features at a time 3. Ask: "Which is MOST important? Which is LEAST important?" 4. Repeat across multiple sets until all features compared 5. Statistical analysis produces importance scores
**Example Survey Question:**
Which feature is MOST important to you? Which feature is LEAST important to you? □ Unlimited projects □ Custom branding □ Priority support □ API access □ Advanced analytics
**Analyzing Results:**
Features are ranked by utility score:
Open-source registry and CLI for Claude Code components: agents, commands, skills, hooks, MCPs, settings and mods
Create, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents",…
Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user…
Search auto-generated codebase documentation for function signatures, API docs, class definitions, and code comments. Use when…
Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to…
Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to…
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.