Pitch deck and fundraising skill for Claude Code. Structure your deck, model financials, write investor emails, and handle every VC objection.
One skill set, 5 slash commands:
| Command | What it does |
|---|---|
/pitch:deck |
Pitch deck structure with slide-by-slide guidance (Sequoia framework) |
/pitch:financials |
Financial model for fundraising — projections, use of funds, sensitivity analysis |
/pitch:email |
Investor outreach emails — cold VC, warm intro, follow-up sequences |
/pitch:objections |
VC objection scripts for the 20 most common investor questions |
/pitch:help |
Command reference |
npx skills add ORBWEVA/founder-pitch
Or manually copy:
skills/->~/.claude/skills/commands/->~/.claude/commands/
×ばつ 150ドル/yr ARPU ×ばつ growth trajectory) Bottom-up: 300K target learners ×ばつ 150ドル/yr = 45ドルM ... DECK SCORE: 8/12 slides strong. Gaps: Traction slide needs cohort retention graph. Competitive slide needs ×ばつ2 positioning map.">
PITCH DECK OUTLINE
====================
SLIDE 1: TITLE
Loka — AI-native language learning through real conversation
Ryan Ahamer, CEO | Raising 2ドルM Seed
SLIDE 2: PROBLEM
Language learners spend 200+ hours on apps that teach vocabulary
but can't hold a 5-minute conversation. 73% of Duolingo users
quit within 30 days because memorization ≠ fluency.
SLIDE 3: SOLUTION
Loka pairs learners with AI tutors for real-time conversation
practice. Adaptive difficulty, instant correction, unlimited
patience. "We do X so language learners can speak confidently
in 90 days, not 900."
SLIDE 4: WHY NOW
GPT-4 made real-time conversational AI possible at <0ドル.02/session.
Two years ago this would cost 2ドル/session — uneconomic for consumer.
SLIDE 5: MARKET SIZE
TAM: 12ドル.5B (global language learning market)
SAM: 890ドルM (online conversation-focused, 3 target languages)
SOM: 45ドルM (2,100 users ×ばつ 150ドル/yr ARPU ×ばつ growth trajectory)
Bottom-up: 300K target learners ×ばつ 150ドル/yr = 45ドルM
...
DECK SCORE: 8/12 slides strong. Gaps: Traction slide needs
cohort retention graph. Competitive slide needs ×ばつ2 positioning map.
COLD VC EMAIL
==============
Subject: Loka — 18% MoM growth, AI-native language learning
Hi Sarah,
Your investment in TalkSpace caught my eye — we're tackling the same
insight that real conversation drives outcomes, not content consumption.
Loka uses AI tutors for real-time conversation practice. We're at
34ドルK MRR growing 18% MoM with 2,100 active learners across 3 languages.
Would love 20 minutes to share what we're seeing. Free Tuesday or Thursday?
Ryan Ahamer
CEO, LokaLingo
PERSONALIZATION: Level 4 (portfolio thesis match + specific reference)
STRUCTURE: /pitch:deck → build the narrative
MODEL: /pitch:financials → back it with numbers
OUTREACH: /pitch:email → get meetings
CLOSE: /pitch:objections → handle every hard question
- Structure — deck builds the investable story slide by slide
- Model — financials provide the numbers VCs will scrutinize
- Outreach — emails get you in the room with the right investors
- Close — objection scripts prepare you for every curveball
| Skill | How it connects |
|---|---|
| dt-skill | Design Thinking validates the problem before you pitch it |
| gtm-skills | /gtm:positioning feeds deck slides 2-3, /gtm:outreach uses same SPARK principles |
| founder-metrics | /startup:ready identifies gaps, /startup:unit feeds financials |
Install all four skill sets:
npx skills add ORBWEVA/dt-skill npx skills add ORBWEVA/gtm-skills npx skills add ORBWEVA/founder-metrics npx skills add ORBWEVA/founder-pitch
Zero executable code. Pure markdown — structured prompts that guide Claude's thinking. No scripts, no dependencies, no API calls, no shell commands.
skills/pitch/SKILL.md # Pitch methodology (4 stages)
commands/pitch/*.md # 5 slash commands
package.json # metadata only
MIT