home / skills / sidetoolco / org-charts / kleva-business

This skill helps manage Kleva business operations by guiding product development, sales sequences, campaigns, financial models, and documentation.

npx playbooks add skill sidetoolco/org-charts --skill kleva-business

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SKILL.md
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---
name: kleva-business
description: Specialized knowledge for working with Kleva business operations, including product development, sales sequences, LinkedIn campaigns, financial models, and business documentation. Use when working on any Kleva-related business tasks.
license: Proprietary
metadata:
  author: edescobar
  version: "1.0"
  organization: kleva
---

# Kleva Business Workflow

Specialized skill for working with Kleva business operations, documentation, and development.

## When to use this skill

Use this skill when working on:
- Kleva product development and roadmaps
- Sales sequences and templates
- LinkedIn advertising campaigns
- Financial forecasts and models
- Investor deck materials
- Business documentation and proposals
- AI agent implementations for Kleva
- Debt collections voice agents
- Conversation flow builders

## Project Structure

### Key Directories

**Code/Holding/Kleva**: Main codebase and projects
- `kleva-product/`: Core product development
- `agents/`: AI agent implementations
- `debt-collections-voice-agent/`: Voice AI agent
- `conv-flow-builder/`: Conversation flow tools
- `kleva-internal-docs/`: Internal documentation
- `kleva-dd/`: Due diligence materials
- `finances/`: Financial tracking and models

**Code/Notes/Kleva**: Business documentation
- Product roadmaps and planning
- Sales sequences and templates
- LinkedIn advertising campaigns
- Financial forecasts
- Investor materials
- Subscription offers

## Business Context

### Core Products
1. **AI-powered debt collections**
2. **Voice agent solutions**
3. **Conversation flow automation**
4. **Customer engagement tools**

### Target Customers
- Financial institutions
- Debt collection agencies
- Banks (e.g., Banco de Córdoba)
- Customer service operations

### Technology Stack
- AI/ML agents
- Voice synthesis
- Natural language processing
- Integration APIs

## Common Workflows

### Product Development
When working on product features:
1. Check `holding/kleva/kleva-product/` for current implementation
2. Review `notes/kleva/` for business requirements
3. Consider AI agent optimization opportunities
4. Document decisions in appropriate location

### Sales and Marketing
When creating sales materials:
1. Reference existing sequences in `notes/kleva/`
2. Align with current product positioning
3. Consider customer pain points
4. Include ROI and value propositions

### Financial Planning
When working with finances:
1. Check `holding/kleva/finances/` for current models
2. Maintain consistency with investor materials
3. Update forecasts based on actuals
4. Document assumptions clearly

### AI Agent Development
When building or optimizing agents:
1. Review `holding/kleva/agents/` for existing implementations
2. Check `kleva-ai-agent-optimization/` for optimization patterns
3. Consider voice agent patterns from `debt-collections-voice-agent/`
4. Document agent behaviors and decision trees

## Documentation Standards

### File Naming
- Use lowercase with hyphens
- Include version or date when relevant
- Be descriptive but concise

### Content Organization
- Start with executive summary for business docs
- Include clear next steps or action items
- Link to related documents
- Maintain context.md and WARP.md files

### Version Control
- Commit regularly with clear messages
- Tag major milestones
- Document breaking changes
- Include co-author attribution when AI-assisted

## Key Stakeholders

When creating materials, consider:
- Investors and board members
- Internal team members
- Customer prospects
- Integration partners
- Regulatory requirements

## Best Practices

### Business Documentation
- Be concise and action-oriented
- Use data to support claims
- Include clear timelines
- Define success metrics

### Technical Documentation
- Document architecture decisions
- Include integration points
- Provide examples and use cases
- Keep API documentation current

### Cross-functional Work
- Align technical capabilities with business goals
- Communicate trade-offs clearly
- Include stakeholder feedback
- Maintain transparent progress tracking

## Resources

### Internal References
- See `holding/kleva/context.md` for detailed project context
- Check `notes/kleva/WARP.md` for folder structure
- Review `kleva-internal-docs/` for team documentation

### Related Skills
- Use `ai-engineer` skill for LLM implementations
- Use `context-manager` skill for complex projects
- Use `note-management` skill for organizing documentation

Overview

This skill encapsulates specialized knowledge for managing Kleva business operations, product development, sales, and AI agent work. It helps structure work across core folders, align product and go-to-market activities, and keep financial and investor materials consistent. Use it to streamline decisions, documentation, and implementation for Kleva projects.

How this skill works

The skill inspects project structure and recommended workflows to guide where to find code, notes, and financial models. It maps tasks to key directories (product, agents, finances, docs) and provides actionable checklists for product development, sales sequences, LinkedIn campaigns, and agent optimization. It also enforces documentation and versioning standards to keep materials reproducible and auditable.

When to use it

  • Planning or updating Kleva product roadmaps and feature work
  • Drafting sales sequences, templates, or LinkedIn campaigns for Kleva
  • Building or optimizing AI and voice agents (debt collection or conversational)
  • Preparing financial forecasts, investor decks, or due diligence materials
  • Creating or organizing internal business documentation and proposals

Best practices

  • Follow the prescribed folder mapping: code in holding/kleva, docs in notes/kleva, finances in holding/kleva/finances
  • Start business docs with an executive summary and clear next steps; include assumptions and success metrics
  • Keep technical docs focused: architecture decisions, integration points, and examples
  • Commit frequently with clear messages, tag major milestones, and document breaking changes
  • Use concise, data-backed claims in sales and investor materials and align messaging to customer pain points

Example use cases

  • Add a new AI debt-collections feature: review holding/kleva/kleva-product, update notes/kleva for requirements, document decisions
  • Create a LinkedIn lead-gen campaign: reuse sequences in notes/kleva, craft messaging around ROI for banks and collection agencies
  • Build a voice agent flow: inspect debt-collections-voice-agent, map conversation flows in conv-flow-builder, test voice synthesis integrations
  • Prepare investor materials: update financials in holding/kleva/finances, sync assumptions with kleva-dd and investor deck
  • Optimize agent behavior: consult kleva-ai-agent-optimization, document decision trees and deployment steps

FAQ

Who are the primary targets for Kleva offerings?

Financial institutions, debt collection agencies, banks, and customer service operations are the main customers.

Where do I store updated financial models?

Place financial models and forecasts in holding/kleva/finances and ensure investor materials reflect the same assumptions.

How should I name files and versions?

Use lowercase with hyphens, include dates or version numbers when relevant, and keep names descriptive but concise.