presentation-pitch-deck

presentation-pitch-deck is a skill for Claude Code, Codex from aaronvanston/skills-presentations. It costs 71 tokens per session (1,037 once invoked), scanned A, original, MIT.

Guidance for creating investor pitch decks that explain a company without a presenter. It uses a structured story covering the problem, solution, traction, market, and funding request.

In plain words
What is it for?
Use it to plan fundraising presentations, investor decks, or company presentations sent asynchronously.
Why use it?
It helps make a deck understandable when investors or partners read it on their own. It also addresses how much text, evidence, and structure a standalone deck needs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan fundraising presentations, investor decks, or company presentations sent asynchronously.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aaronvanston/skills-presentations/presentation-pitch-deck
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add aaronvanston/skills-presentations --skill presentation-pitch-deck
Clone the repo
git clone --depth 1 https://github.com/aaronvanston/skills-presentations

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for presentation-pitch-deck

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaronvanston/skills-presentations/presentation-pitch-deck/github.svg)](https://agentmods.dev/skills/aaronvanston/skills-presentations/presentation-pitch-deck)
Your own site
<a href="https://agentmods.dev/skills/aaronvanston/skills-presentations/presentation-pitch-deck"><img src="https://agentmods.dev/badge/skills/aaronvanston/skills-presentations/presentation-pitch-deck/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for presentation-pitch-deck

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaronvanston/skills-presentations/presentation-pitch-deck"><img src="https://agentmods.dev/badge/skills/aaronvanston/skills-presentations/presentation-pitch-deck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,037 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.01037
Opus 5.5 $0.00028 $0.00415
Sonnet 5.5 $0.00014 $0.00207
Haiku 4.5 $0.00007 $0.00104

Measured 1mo ago against content hash f417222ee4ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

presentation-pitch-deck scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/presentation-pitch-deck/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pitch Deck

Create investor-ready pitch decks that get meetings, pass AI screening, and tell your story without you in the room.

Pitch Deck vs. Presented Deck

Aspect Presented Deck Pitch Deck
Text density Minimal — speaker adds context Higher — must stand alone
Structure Flexible narrative Expected frameworks (Sequoia, YC)
Traction Discussed verbally Shown prominently with charts
The Ask Built to naturally Explicit dedicated slide
Length Flexible 10-15 slides max
Reading speed 3 sec/slide (glance media) 30-60 sec/slide (studied)

The 10-Slide Framework

Slide 1: Title

Company name, one-line description, contact info, optional traction hook.

Slide 2: Problem

The pain point — who experiences it, why it's urgent. Lead with customer quotes or data. If the problem isn't real or urgent, nothing else matters.

Slide 3: Solution

Product in 30 seconds. Show transformation ("Before → After"), not feature lists.

Slide 4: Traction

Charts over text. Revenue, users, growth rate, milestones, customer logos. Move this earlier if numbers are strong.

Slide 5: Market Size

TAM, SAM, SOM with clear definitions. Bottom-up calculation preferred. Why now?

**TAM:** $X global market
**SAM:** $Y — target segment in target geographies
**SOM:** $Z — specific niche you're capturing now

Slide 6: Business Model

How you make money. Pricing structure, unit economics (CAC, LTV, payback), path to profitability.

Slide 7: Competition

Competitive landscape (matrix or quadrant). Your differentiation. Never say "no competition."

Slide 8: Team

Photos, names, one-line credentials. Why this team wins. Key advisors if notable.

Slide 9: Financials & Roadmap

Revenue projections (realistic), key milestones, use of funds preview, path to next round.

Slide 10: The Ask

Amount, use of funds breakdown, milestones it unlocks, clear CTA.

**Raising:** $XM [Stage]

**Use of Funds:**
- 50% Product (core features, AI capabilities)
- 30% Go-to-market (sales team, partnerships)
- 20% Operations (support, infrastructure)

**Next step:** 30-minute call to discuss partnership

Read the full file on GitHub · 120 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 120 lines · 71 tokens per session scan A f417222ee4ca

Subscribe to this mod's changes

presentation-pitch-deck is a skill published in the GitHub repository aaronvanston/skills-presentations (15 stars, last pushed 8mo ago), licensed MIT. It adds 71 tokens to every session and 1,037 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…

vercel/next.js · 123 tokens