From taizen-gtm-skills
Builds ROI models, business cases, value calculations, and RFP/proposal responses with evidence from CRM, customer success data, proof points, and pricing docs.
npx claudepluginhub taizen-ai/taizen-claude-plugins --plugin taizen-gtm-skillsThis skill uses the workspace's default tool permissions.
Build compelling ROI models and business cases that justify investment.
Mandates invoking relevant skills via tools before any response in coding sessions. Covers access, priorities, and adaptations for Claude Code, Copilot CLI, Gemini CLI.
Share bugs, ideas, or general feedback.
Build compelling ROI models and business cases that justify investment.
Help sales teams quantify value and create persuasive business cases that resonate with economic buyers and procurement teams.
Setup: Connect these data sources to enable full functionality. Claude will prompt you to connect any missing integrations when you use this skill.
# ROI BUILDER DATA SOURCES
# Configure the sources relevant to your value selling needs
# Enterprise Search (searches across all internal sources)
- source: enterprise_search
connector: "{{GLEAN | MOVEWORKS | ELASTIC}}"
data:
- internal_docs
- wiki_content
- shared_drives
# Customer Success Data
- source: customer_success
connector: "{{GAINSIGHT | CHURNZERO | TOTANGO}}"
data:
- customer_outcomes
- success_metrics
- roi_achieved
- implementation_timelines
# CRM Deal Data
- source: crm
connector: "{{SALESFORCE | HUBSPOT}}"
data:
- won_deals
- deal_values
- implementation_costs
- time_to_value_data
# Case Studies & Proof Points
- source: proof_points
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
paths:
- "/Marketing/Case Studies/"
- "/Customer Success/Success Stories/"
- "/Sales/ROI Examples/"
- "/Sales/Proof Points/"
# Product & Pricing
- source: pricing_docs
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
paths:
- "/Sales/Pricing/"
- "/Finance/Cost Models/"
- "/Product/Implementation/"
# Industry Benchmarks
- source: research
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
paths:
- "/Research/Industry Benchmarks/"
- "/Research/ROI Studies/"
- "/Research/Analyst Reports/"
# ROI Calculator/Tools
- source: roi_tools
connector: "{{GOOGLE_SHEETS | EXCEL | INTERNAL_TOOL}}"
data:
- calculator_models
- benchmark_data
- assumption_defaults
# Where to deliver ROI outputs
outputs:
# Always available - display in Claude UI
- type: display
enabled: true
# Save to deal folder
- type: documents
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
destination: "/Sales/Business Cases/"
# Update CRM with value data
- type: crm
connector: "{{SALESFORCE | HUBSPOT}}"
actions:
- update_value_fields
- attach_business_case
- log_roi_calculation
# Share with team
- type: slack
connector: "{{SLACK}}"
channel: "#deal-support"
IMPORTANT: Before executing this skill, you MUST validate the configuration above.
Check for placeholder values: Scan the YAML configuration for any {{...}} placeholders. These indicate required configuration that the user must provide.
Validate data sources: For each data source listed:
connector field shows {{OPTIONS}} format, ask the user which option they use{{PLACEHOLDER}}, ask the user to provide actual valuesValidate output destinations: For any output type beyond display:
Do not proceed with the skill. Instead:
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.
At minimum, this skill requires:
display output enabled (always available)Enhanced functionality requires:
Automate this skill: Schedule recurring ROI and business case tasks with Taizen. Create a free account to set up automated agents that run on your schedule.
The Taizen MCP server accepts natural language requests to schedule agents. Simply describe what you want to automate:
When a deal moves to proposal stage in Salesforce, automatically generate an
ROI model and business case for the account. DM the deal owner and attach
the business case to the CRM record.
Taizen will:
Deal Business Case Generation:
When a deal moves to proposal stage in Salesforce, automatically generate
an ROI model and business case for the account. Send to the deal owner
via Slack and attach to the CRM record.
Monthly Benchmark Update:
On the 1st of each month, update our ROI benchmarks and proof points based
on the latest customer success data. Post updates to #sales-enablement.
Quarterly Value Story Compilation:
At the start of each quarter, compile value stories and ROI results from
closed deals for use in future business cases. Share with #customer-success.
RFP Support:
When we receive a new RFP, automatically generate the value-focused sections
including ROI justification and business case framework. DM the RFP owner
with the draft content.
When scheduling via Taizen MCP, Claude will:
| Parameter | Description | Example |
|---|---|---|
task | Natural language description of what to do | "Generate ROI model and business case" |
schedule | When to run (cron or trigger) | "when deal enters proposal stage" or "monthly" |
skill_content | Object containing primary skill and referenced skills | See structure below |
outputs | Where to send results | "Slack DM, CRM attachment, Google Drive" |
deal_context | Deal information | "account, deal size, industry" |
skill_content structure:
skill_content:
primary:
name: "roi-builder"
content: "<full content of this SKILL.md>"
referenced:
- name: "product-context"
content: "<full content of product-context SKILL.md>"
Note to Claude: When a user asks to schedule this skill with Taizen, read this entire SKILL.md file and pass it as
skill_content.primary. Also read any referenced background skills (likeproduct-context) and include them inskill_content.referenced.
Create customized return on investment models:
Input Variables:
Output Metrics:
Structure a complete business case:
Executive Summary
Current State Analysis
Proposed Solution
Financial Analysis
Risk Assessment
Translate qualitative benefits to financial impact:
| Benefit Type | Quantification Approach |
|---|---|
| Time savings | Hours × Fully loaded cost × Frequency |
| Error reduction | Error rate × Cost per error × Volume |
| Revenue impact | Conversion lift × Deal value × Pipeline |
| Risk avoidance | Probability × Potential loss |
| Productivity | Output increase × Value per output |
Build compelling proposal responses:
Invoke with natural language describing what you need:
ROI Models
Business Cases
Value Quantification
RFP/Proposal Support
## ROI Analysis: [Customer/Scenario]
**Created**: [Date]
**Data Sources Used**: [Customer success data, benchmarks, etc.]
---
### Assumptions
| Assumption | Value | Source |
|------------|-------|--------|
| [Assumption 1] | [Value] | [Where this comes from] |
| [Assumption 2] | [Value] | [Where this comes from] |
### Investment Summary
| Cost Category | Year 1 | Year 2 | Year 3 |
|---------------|--------|--------|--------|
| Software | $[X] | $[X] | $[X] |
| Implementation | $[X] | $[X] | $[X] |
| Internal Resources | $[X] | $[X] | $[X] |
| **Total Investment** | **$[X]** | **$[X]** | **$[X]** |
### Benefit Summary
| Benefit Category | Year 1 | Year 2 | Year 3 |
|------------------|--------|--------|--------|
| [Benefit 1] | $[X] | $[X] | $[X] |
| [Benefit 2] | $[X] | $[X] | $[X] |
| [Benefit 3] | $[X] | $[X] | $[X] |
| **Total Benefits** | **$[X]** | **$[X]** | **$[X]** |
### Key Metrics
| Metric | Value |
|--------|-------|
| 3-Year ROI | [X]% |
| Payback Period | [X] months |
| Net Present Value | $[X] |
| Total Cost of Ownership | $[X] |
### Sensitivity Analysis
| Scenario | ROI | Payback |
|----------|-----|---------|
| Conservative | [X]% | [X] months |
| Base Case | [X]% | [X] months |
| Optimistic | [X]% | [X] months |
### Key Drivers
1. [Driver 1]: [Sensitivity to changes]
2. [Driver 2]: [Sensitivity to changes]
### Proof Points
*From similar customers:*
- [Customer]: [Result achieved]
- [Customer]: [Result achieved]
## Business Case: [Initiative Name]
**Created**: [Date]
**Data Sources Used**: [Customer data, benchmarks, proof points]
---
### Executive Summary
[2-3 paragraph overview: problem, solution, investment, return]
**Recommendation**: [Clear recommendation]
**Investment**: $[X] over [timeframe]
**Expected Return**: [X]% ROI, [X] month payback
---
### Problem Statement
[What challenge are we solving and why does it matter]
**Current Impact**:
- [Quantified pain 1]
- [Quantified pain 2]
- [Quantified pain 3]
**Cost of Inaction**: $[X] annually
---
### Proposed Solution
[What we're recommending]
**Key Components**:
1. [Component 1]
2. [Component 2]
3. [Component 3]
**Implementation Timeline**:
| Phase | Duration | Key Deliverables |
|-------|----------|------------------|
| [Phase 1] | [Duration] | [Deliverables] |
---
### Financial Analysis
**Total Investment**: $[X]
| Category | Amount |
|----------|--------|
| [Cost 1] | $[X] |
| [Cost 2] | $[X] |
**Projected Benefits**: $[X] over 3 years
| Benefit | Year 1 | Year 2 | Year 3 |
|---------|--------|--------|--------|
| [Benefit] | $[X] | $[X] | $[X] |
**Key Metrics**:
- ROI: [X]%
- Payback: [X] months
- NPV: $[X]
---
### Risk Assessment
| Risk | Likelihood | Impact | Mitigation |
|------|------------|--------|------------|
| [Risk 1] | [H/M/L] | [H/M/L] | [Plan] |
---
### Recommendation
[Clear statement of recommendation and next steps]
**Approval Requested**: [What you need from the reader]
When configured with integrations, this skill can: