
Pitch Deck
Verify CAGR, valuation multiples, and market-share math in pitch-deck source data before slides go to investors or partners.
Overview
pitch-deck is an agent skill most often used in Validate (also Launch distribution prep) that verifies pre-calculated financial figures in pitch-deck source data using standard valuation and growth formulas.
Install
npx skills add https://github.com/anthropics/financial-services-plugins --skill pitch-deckWhat is this skill?
- CAGR projection verification with Present Value × (1 + CAGR)^n
- EV/Revenue and EV/EBITDA multiple cross-checks against claimed deals
- Market share formula checks on source figures
- Consensus methodology and rounding guidelines for deck consistency
- Verification checklist plus red flags to investigate before populating templates
- Verification sections cover CAGR projection, EV/Revenue, EV/EBITDA, and market share formulas with worked examples
Adoption & trust: 849 installs on skills.sh; 30.5k GitHub stars; 2/3 security scanners passed (skills.sh audits).
What problem does it solve?
Your pitch deck cites market size, CAGR, and deal multiples but you are not sure the numbers in the spreadsheet actually reconcile.
Who is it for?
Bootstrapped or seed-stage founders preparing data-driven slides who already have source figures and need arithmetic discipline.
Skip if: Founders with no source data who want the agent to invent TAM or comps, or teams needing legal securities advice.
When should I use this skill?
User is populating or reviewing pitch-deck financial figures, market size projections, or valuation multiple claims in source data.
What do I get? / Deliverables
You get formula-backed verification of key metrics, a checklist pass, and flagged inconsistencies before slides are finalized for investors.
- Verified or flagged metric lines
- Checklist completion notes
- List of red-flag inconsistencies to investigate
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Pitch financials are most often validated before full build commitment—canonical Validate shelf for pricing and market claims. Pricing and market sizing live in validate/pricing; this skill audits the numbers behind those narrative slides.
Where it fits
Cross-check a claimed $55bn 2030 TAM from a 16.4% CAGR off a 2024 base before you commit the slide.
Verify EV/Revenue on a comparable acquisition bullet so competitive positioning slides stay defensible.
Re-run the verification checklist before sending the deck to angels or strategic partners.
How it compares
Use as a calculation checker on existing deck inputs—not as a generic storytelling or design skill for slides.
Common Questions / FAQ
Who is pitch-deck for?
Solo builders and small teams in fintech, B2B SaaS, or any fundraise path who maintain quantitative slides and want agent-assisted verification against standard finance formulas.
When should I use pitch-deck?
During Validate when scoping market size and pricing narrative; before Launch when distribution decks go external; whenever updating CAGR, EV multiples, or market-share claims in source data.
Is pitch-deck safe to install?
It is reference-style verification logic without mandated external calls; review the Security Audits panel on this page and avoid uploading confidential cap tables to untrusted environments.
SKILL.md
READMESKILL.md - Pitch Deck
# Calculation Verification Reference This file provides formulas and guidelines for verifying pre-calculated values in source data before populating templates. Source data should already contain calculated figures—use these formulas to verify accuracy. ## Contents - [Key Verification Formulas](#key-verification-formulas) - [Consensus Methodology](#consensus-methodology) - [Rounding Guidelines](#rounding-guidelines) - [Verification Checklist](#verification-checklist) - [Red Flags to Investigate](#red-flags-to-investigate) --- ## Key Verification Formulas ### CAGR Projection **Formula:** ``` Future Value = Present Value × (1 + CAGR)^n ``` **Variables:** - Present Value: Current/base year market size - CAGR: Compound Annual Growth Rate (as decimal, e.g., 16.4% = 0.164) - n: Number of years between base and target year **Verification example:** ``` Source claims: $22.1bn (2024) at 16.4% CAGR = $55.0bn (2030) Verify: 22.1 × (1.164)^6 = 22.1 × 2.488 = 55.0 ✓ ``` **Calculating n (years):** Count years between base and target year. Examples: 2024→2030 = 6 years, 2025→2030 = 5 years. ### Valuation Multiples **EV/Revenue:** ``` EV/Revenue Multiple = Enterprise Value ÷ Revenue Implied EV = Revenue × Multiple ``` **EV/EBITDA:** ``` EV/EBITDA Multiple = Enterprise Value ÷ EBITDA Implied EV = EBITDA × Multiple ``` **Verification example:** ``` Source claims: $436m deal at 9.7x revenue multiple on $45m revenue Verify: 436 ÷ 45 = 9.69 ≈ 9.7x ✓ ``` ### Market Share **Formula:** ``` Market Share = (Segment Size ÷ Total Market Size) × 100 ``` **Verification example:** ``` Source claims: Online segment ($18bn) is 28% of total market ($65bn) Verify: 18 ÷ 65 = 0.277 = 27.7% ≈ 28% ✓ ``` ### Growth Rate **Year-over-Year:** ``` YoY Growth = (Current Year - Prior Year) ÷ Prior Year × 100 ``` **CAGR from endpoints:** ``` CAGR = (End Value ÷ Start Value)^(1/n) - 1 ``` --- ## Consensus Methodology When source data contains multiple estimates, verify consensus calculations: ### Size Consensus (Range) **Method:** Full min-max range across all sources **Example:** ``` Sources: $14.9bn, $18.3bn, $21.1bn, $21.2bn, $22.1bn Consensus: $15-22bn (rounded to nearest $1bn) ``` ### CAGR Consensus (Central Cluster) **Method:** Exclude outliers (highest and lowest), use central cluster range **Example:** ``` Sources: 10.6%, 16.4%, 17.2%, 19.0%, 22.7% Exclude outliers: 10.6% (low), 22.7% (high) Central cluster: 16.4%, 17.2%, 19.0% Consensus: 16-19% or 16-17% (conservative) ``` ### Projection Consensus **Method:** Apply consensus CAGR to midpoint of size range **Example:** ``` Size range: $15-22bn → Midpoint: $18.5bn CAGR consensus: 16-17% At 16%: 18.5 × (1.16)^6 = $45.1bn At 17%: 18.5 × (1.17)^6 = $47.5bn Consensus projection: $45-48bn ``` --- ## Rounding Guidelines These are **typical conventions** — adjust based on the magnitude of values and template style: | Value Type | Typical Rounding | Example | |------------|------------------|---------| | Large market sizes ($10bn+) | Nearest $1bn | 18.47 → $18bn | | Smaller market sizes (<$10bn) | Nearest $0.5bn or $0.1bn | 2.3 → $2.5bn | | Size ranges | Match precision of sources | 14.9-22.1 → $15-22bn | | CAGR | Whole % or 0.5% | 16.4% → 16% or 16.5% | | Market share | Nearest 5% or match source | 27.7% → 25% or 30% | | Revenue ($m) | 1 decimal | 18.47 → $18.5m | | Multiples | 1 decimal | 9.688 → 9.7x | **Rounding principles:** - Rounding should not materially change the figure — for smaller values, use finer precision - Consistency matters more than precision — use same rounding across similar figures - When creating ranges, round down for low end, round up for high end - For summary statistics (mean, median), match precision of input data --- ## Verification Checklist Before using any calculated value from source data: ### Formula Verification - [ ] Projection uses correct CAGR formula: `PV × (1 + r)^n` - [ ] Multiples calculated as EV ÷ Metric (not reversed) - [ ] Growth rates