Riligar business startup

Skill riligar/agents-kit/.agent/skills/riligar-business-startup

RiLiGar Agents Kit - Curated collection of AI Agent templates, skills, and rules designed to standardize and supercharge your AI-driven development workflows.

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npx -y skills add riligar/agents-kit --skill riligar-business-startup

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Comprehensive startup planning toolkit. Use for business cases, financial projections (3-5 year models), and market opportunity analysis (TAM/SAM/SOM). Covers investor-ready documentation, fundraising strategy, and go-to-market planning.

SKILL.md

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Startup Business Planning

Comprehensive toolkit for startup planning, fundraising, and strategic analysis.

Available Modules

This skill provides three integrated analysis modules:

Module	Use When	Reference
Business Case	Creating investor-ready documents, pitch decks, strategic plans	business-case.md
Financial Model	Building 3-5 year projections, unit economics, scenario analysis	financial-model.md
Market Analysis	Calculating TAM/SAM/SOM, market sizing, opportunity assessment	market-analysis.md

Quick Start

For Complete Business Case

Read business-case.md
Gather company context and materials
Generate comprehensive investor document

For Financial Projections Only

Read financial-model.md
Collect revenue model and cost assumptions
Build cohort-based projections with scenarios

For Market Sizing Only

Read market-analysis.md
Define target market and segments
Calculate TAM/SAM/SOM with validation

Integration Flow

The modules work together:

Market Analysis (TAM/SAM/SOM)
        ↓
Financial Model (Revenue from SOM)
        ↓
Business Case (Complete document)

Output Formats

All modules generate markdown reports that can be:

Converted to PDF for investors
Used as basis for pitch decks
Updated quarterly for board meetings

Best Practices

Do:

Start with market analysis to validate opportunity
Use conservative assumptions (build credibility)
Cite all data sources
Document every assumption
Update models quarterly

Don't:

Skip market validation
Be overly optimistic on projections
Ignore competitive context
Mix methodologies inappropriately