d-wwei/openclaw-financial-services · Archived

fsi-fa-cmd-comps

Build a comparable company analysis with trading multiples — usage: /comps [company name or ticker]

First seen Jun 21, 2026

Installation

$ npx skills add d-wwei/openclaw-financial-services --skill fsi-fa-cmd-comps

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 15
License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,699 B
  • docs SUMMARY.md 125 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Comparable Company Analysis Command

Build an institutional-grade comparable company analysis with operating metrics, valuation multiples, and statistical benchmarking.

Workflow

Step 1: Gather Company Information

If a company name or ticker is provided, use it. Otherwise ask:

  • "What company would you like to analyze?"

Step 2: Load Comps Analysis Skill

Use skill: "comps-analysis" to build the analysis:

  1. Clarify the analysis purpose:

- "What's the key question?" (valuation, efficiency, growth comparison) - "Who is the audience?" (IC, board, quick reference) - "Do you have a preferred format or template?"

  1. Identify peer group (4-6 comparable companies):

- Similar business model - Similar scale/market cap range - Same industry/sector - Geographic comparability

  1. Gather data (prioritize MCP sources if available):

- Operating metrics: Revenue, Growth, Gross Margin, EBITDA, EBITDA Margin - Valuation: Market Cap, Enterprise Value, EV/Revenue, EV/EBITDA, P/E - Additional metrics based on industry (Rule of 40 for SaaS, etc.)

  1. Build the analysis:

- Operating Statistics section with company data + statistics (Max, 75th, Median, 25th, Min) - Valuation Multiples section with same statistical summary - Notes & Methodology documentation

Step 3: Create Excel Output

Generate Excel file with:

  • Header block (analysis title, companies, date, units)
  • Operating Statistics & Financial Metrics section
  • Valuation Multiples section
  • Statistical summary for each metric
  • Notes section documenting sources and methodology

Step 4: Deliver Output

Provide:

  1. Excel file (.xlsx) - the comps analysis
  2. Summary highlighting:

- Peer group selection rationale - Key insights (who trades at premium/discount) - Median multiples for reference

Output Format Reference

┌─────────────────────────────────────────────────────────────────┐
│ [SECTOR] - COMPARABLE COMPANY ANALYSIS                          │
│ [Company 1] • [Company 2] • [Company 3] • [Company 4]          │
│ As of [Date] | All figures in USD Millions                      │
├─────────────────────────────────────────────────────────────────┤
│ OPERATING STATISTICS & FINANCIAL METRICS                        │
├──────────┬─────────┬─────────┬──────────┬─────────┬────────────┤
│ Company  │ Revenue │ Growth  │ Gross    │ EBITDA  │ EBITDA     │
│          │ (LTM)   │ (YoY)   │ Margin   │ (LTM)   │ Margin     │
├──────────┼─────────┼─────────┼──────────┼─────────┼────────────┤
│ [Data rows for each company]                                    │
│                                                                 │
│ Maximum  │ =MAX    │ =MAX    │ =MAX     │ =MAX    │ =MAX       │
│ 75th %   │ =QUART  │ =QUART  │ =QUART   │ =QUART  │ =QUART     │
│ Median   │ =MEDIAN │ =MEDIAN │ =MEDIAN  │ =MEDIAN │ =MEDIAN    │
│ 25th %   │ =QUART  │ =QUART  │ =QUART   │ =QUART  │ =QUART     │
│ Minimum  │ =MIN    │ =MIN    │ =MIN     │ =MIN    │ =MIN       │
├─────────────────────────────────────────────────────────────────┤
│ VALUATION MULTIPLES                                             │
├──────────┬──────────┬──────────┬──────────┬───────────┬────────┤
│ Company  │ Mkt Cap  │ EV       │ EV/Rev   │ EV/EBITDA │ P/E    │
├──────────┼──────────┼──────────┼──────────┼───────────┼────────┤
│ [Data rows + statistics]                                        │
└─────────────────────────────────────────────────────────────────┘

Industry-Specific Metrics

Industry Additional Metrics
Software/SaaS ARR, Net Dollar Retention, Rule of 40
Retail Same-store sales, Inventory Turns
Financials ROE, ROA, Efficiency Ratio
Manufacturing Asset Turnover, CapEx/Revenue
Healthcare R&D/Revenue, Pipeline Value

Quality Checklist

Before delivery:

  • 4-6 truly comparable companies
  • Consistent time periods (all LTM or all FY)
  • All formulas reference cells (no hardcoded values)
  • Cell comments on all hardcoded inputs with sources
  • Statistics include Max, 75th, Median, 25th, Min
  • Notes section documents sources and methodology
  • Blue = inputs, Black = formulas
  • Sanity checks pass (margins logical, multiples reasonable)