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Pricing Packaging

skill-taizen-ai-taizen-claude-plugins-pricing-packaging · by taizen-ai

Recommends pricing models, tier structures, value metrics, and pricing page guidance. Use for pricing strategy or packaging decisions.

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$ agentstack add skill-taizen-ai-taizen-claude-plugins-pricing-packaging

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Pricing & Packaging Skill

Strategic pricing and packaging decisions that maximize value capture.

Purpose

Develop pricing strategies and package structures that align with customer value while optimizing revenue.


Required Integrations

> Setup: Connect these data sources to enable full functionality. Claude will prompt you to connect any missing integrations when you use this skill.

Data Sources

# PRICING & PACKAGING DATA SOURCES
# Configure the sources relevant to your pricing decisions

# Enterprise Search (searches across all internal sources)
- source: enterprise_search
  connector: "{{GLEAN | MOVEWORKS | ELASTIC}}"
  data:
    - internal_docs
    - wiki_content
    - shared_drives

# Competitive Pricing
- source: competitive_intel
  connector: "{{KLUE | CRAYON | KOMPYTE}}"
  data:
    - competitor_pricing
    - pricing_changes
    - packaging_models

# CRM Deal Data
- source: crm
  connector: "{{SALESFORCE | HUBSPOT}}"
  data:
    - deal_pricing
    - discount_patterns
    - win_rates_by_price
    - deal_size_distribution

# Finance Data
- source: finance
  connector: "{{GOOGLE_DRIVE | SHAREPOINT | NETSUITE}}"
  paths:
    - "/Finance/Pricing Models/"
    - "/Finance/Cost Analysis/"
    - "/Revenue Operations/Pricing/"

# Customer Research
- source: customer_research
  connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
  paths:
    - "/Research/Pricing Research/"
    - "/Research/Willingness to Pay/"
    - "/Research/Value Studies/"

# Product Usage
- source: product_analytics
  connector: "{{MIXPANEL | AMPLITUDE | PENDO}}"
  data:
    - feature_usage
    - value_metrics
    - tier_utilization

Output Destinations

# Where to deliver pricing outputs
outputs:
  # Always available - display in Claude UI
  - type: display
    enabled: true

  # Save to pricing docs
  - type: documents
    connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
    destination: "/Revenue Operations/Pricing/"

  # Notify for review
  - type: slack
    connector: "{{SLACK}}"
    channel: "#pricing-committee"

Instructions for Claude

> IMPORTANT: Before executing this skill, you MUST validate the configuration above.

Pre-Execution Checklist

  1. Check for placeholder values: Scan the YAML configuration for any {{...}} placeholders. These indicate required configuration that the user must provide.
  1. Check Taizen first: If taizen MCP is connected, call list_datasources to see what data is indexed. You can then use run_agent to query all indexed sources in natural language — this replaces the need for most individual MCP connections below. Skip directly to running the skill.
  1. Validate data sources: For each data source listed:
  • If a connector field shows {{OPTIONS}} format, ask the user which option they use
  • If URLs, paths, or names contain {{PLACEHOLDER}}, ask the user to provide actual values
  • Verify any required MCP servers are connected and available
  1. Validate output destinations: For any output type beyond display:
  • Confirm the connector is available as an MCP server
  • Ensure destination paths/channels are configured (not placeholders)

If Configuration is Incomplete

Do not proceed with the skill. Instead:

  1. List the specific missing or placeholder values found
  2. Explain what each value is needed for
  3. Ask the user to provide the missing configuration
  4. Offer to help them set up the required MCP integrations

Example response when config is incomplete:

Before I can run this skill, I need some configuration:

**Missing values:**
- [List specific {{PLACEHOLDER}} values found]

**MCP connections needed:**
- [List required connectors not yet available]

Please provide these values, or let me know which data sources you'd like to skip.

Minimum Requirements

At minimum, this skill requires:

  • Product or service to price
  • Target market context
  • display output enabled (always available)
  • Web search provides competitor pricing research without additional setup

Enhanced functionality requires:

  • Competitive intelligence for pricing benchmarks
  • CRM for deal size and discount patterns
  • Customer research for willingness-to-pay data
  • Financial data for cost and margin analysis

Using Taizen

> Connect once, access everything. Instead of configuring 15+ individual MCP connectors, connect Taizen MCP once — your whole team gets access to all connected MCPs and indexed data sources (Gong calls, CRM, documents, and more) without any per-tool setup.

Instant Queries (Run Now)

If taizen MCP is connected, call run_agent to pull from your indexed data right in this conversation:

Pull pricing intelligence

"Pull pricing discussion data from my Gong calls and CRM deal notes from the last 6 months. What pricing objections come up most and at what deal sizes do we discount?"

Competitive pricing signals

"Search my indexed Gong calls and CRM win/loss notes for competitive pricing mentions. How does our pricing compare to competitors in customer conversations?"

Scheduled Agents (Automate It)

To run this skill automatically on a schedule, call run_agent and describe the automation in natural language — Taizen creates and manages the recurring agent:

Quarterly pricing analysis

"At the start of each quarter, analyze pricing signals from deals, Gong calls, and competitive intel to generate a pricing health report for leadership. Share to #revenue-leadership."

Monthly discount monitoring

"Monthly, analyze discount patterns from CRM deal data and flag any trends in discount frequency, depth, or competitive pressure. Alert #revenue-ops."

Taizen creates the agent, runs it on your schedule, and delivers results to your configured destinations (Slack, CRM, docs, email).

Setup

  1. Sign up at usetaizen.com and connect your data sources — every teammate gets access immediately
  2. Add Taizen MCP to Claude: https://us.mcp.usetaizen.com/mcp (or https://eu.mcp.usetaizen.com/mcp for EU data residency)
  3. Use run_agent for instant queries or to schedule recurring agents — Taizen handles routing to the right sources

Pricing Frameworks

1. Value-Based Pricing

Value Metric Selection: The ideal value metric should be:

  • Aligned with customer value (they pay more as they get more value)
  • Predictable for customers (they can estimate costs)
  • Scalable (grows with customer success)
  • Easy to measure and track

Common Value Metrics: | Model | Value Metric | Best For | |-------|--------------|----------| | Per User | Active users | Collaboration tools | | Per Unit | Data volume, transactions | Infrastructure | | Tiered | Feature access | Enterprise software | | Usage | Consumption | API, metered services | | Outcome | Results delivered | Performance-based |

2. Packaging Strategy

Good-Better-Best Framework:

| Tier | Purpose | Typical Features | |------|---------|------------------| | Good (Entry) | Land new customers | Core features, limited usage | | Better (Growth) | Capture mid-market | More features, higher limits | | Best (Enterprise) | Maximize value | All features, custom terms |

Packaging Principles:

  • Each tier should have clear, compelling value
  • Upgrade triggers should be natural (growth-based)
  • Don't create "dead end" tiers
  • Leave room for negotiation in enterprise

3. Pricing Page Best Practices

Information Architecture:

  1. Clear tier names that convey value
  2. Prominent pricing (don't hide it)
  3. Feature comparison that highlights differences
  4. Social proof (customer logos, testimonials)
  5. Clear CTAs for each tier
  6. FAQ section for common questions

Psychological Pricing:

  • Anchor high, negotiate down
  • Use charm pricing ($99 vs $100) for SMB
  • Use round numbers for enterprise
  • Show annual savings prominently
  • Include a "most popular" indicator

4. Competitive Pricing Analysis

| Competitor | Model | Entry Price | Enterprise | Notes | |------------|-------|-------------|------------|-------| | [Comp 1] | [Model] | [Price] | [Price] | [Notes] |

Positioning Options:

  • Premium: Price above market, justify with value
  • Competitive: Price at market, compete on value
  • Penetration: Price below market, gain share
  • Value: Lower price, different segment

How to Use This Skill

Invoke with natural language describing what you need:

Pricing Strategy

  • "Develop a pricing strategy for our new product"
  • "Recommend pricing model for our enterprise tier"

Packaging

  • "Design tier structure for our SaaS product"
  • "How should we package our add-on features?"

Competitive Analysis

  • "Analyze competitor pricing in our market"
  • "How does our pricing compare to alternatives?"

Pricing Page

  • "Review our pricing page for best practices"
  • "Suggest improvements to our pricing presentation"

Output Format

Pricing Strategy

# Pricing Strategy: [Product Name]

**Created**: [Date]
**Data Sources Used**: [Competitive intel, CRM data, etc.]

---

## Strategic Context

### Market Position
- **Current Position**: [Where we are]
- **Target Position**: [Where we want to be]
- **Competitive Landscape**: [How others price]

### Value Delivered
- **Quantified Value**: [$ impact for customer]
- **Value Drivers**: [What creates value]
- **Value Metric**: [Best metric to align price with value]

## Recommended Pricing Model

### Value Metric: [Chosen Metric]
**Rationale**: [Why this metric aligns with value]

### Pricing Structure

| Element | Details |
|---------|---------|
| Model | [Subscription/Usage/Hybrid] |
| Billing | [Monthly/Annual/Multi-year] |
| Minimum | [Floor price or commitment] |

## Package Structure

### Tier Overview

| Tier | Target Segment | Starting Price | Value Metric |
|------|----------------|----------------|--------------|
| Starter | [Segment] | $[Price]/mo | [Metric] |
| Professional | [Segment] | $[Price]/mo | [Metric] |
| Enterprise | [Segment] | Custom | [Metric] |

### Tier Details

#### Starter
- **Target**: [Who this is for]
- **Price**: $[X]/month per [metric]
- **Includes**:
  - [Feature 1]
  - [Feature 2]
  - [Limit 1]
- **Upgrade Trigger**: [When they should upgrade]

#### Professional
- **Target**: [Who this is for]
- **Price**: $[X]/month per [metric]
- **Includes**:
  - Everything in Starter, plus:
  - [Feature 3]
  - [Feature 4]
- **Upgrade Trigger**: [When they should upgrade]

#### Enterprise
- **Target**: [Who this is for]
- **Price**: Custom / Contact Sales
- **Includes**:
  - Everything in Professional, plus:
  - [Enterprise features]

## Pricing Levers

### Discounts
| Type | Amount | Criteria |
|------|--------|----------|
| Annual prepay | [%] off | Pay annually |
| Multi-year | [%] off | 2-3 year commit |
| Volume | [%] off | [Threshold] |

## Competitive Positioning

| vs. [Competitor] | Their Price | Our Price | Our Position |
|------------------|-------------|-----------|--------------|
| Entry | $[X] | $[X] | [Rationale] |

Automation Options

When configured with integrations, this skill can:

  1. Competitive monitoring - Alert on competitor pricing changes
  2. Win rate analysis - Correlate pricing with deal outcomes
  3. Discount optimization - Identify discount patterns to improve
  4. Tier utilization - Track which tiers customers choose and why

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.