# pitch-deck-reviewer

Reviews startup pitch decks, scores narrative and financial clarity, and generates a structured pitch-review.md report with anticipated investor objections.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 320 installs · ★ 382
- Author: OneWave-AI
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/OneWave-AI/claude-skills/tree/HEAD/pitch-deck-reviewer/SKILL.md
- Updated: 2026-10-20
- HTML: https://affpapa.org/en/nevibecode/skills/pitch-deck-reviewer

## What it does

The skill evaluates pitch materials across formats including PDF, PPTX, image folders with PNG or JPG files, and public Google Slides links. Multi-page PDFs with 10 or more pages are processed in batches via page parameters. The workflow begins with a slide inventory, recording company stage and industry. Decks exceeding 20 slides get flagged immediately, as typical successful fundraising runs on 10 to 15 slides. Files formatted as `.pen` cannot be read directly.

Evaluation runs across eight dimensions using an internal scoring guide. Scores range from 1 to 10 with clear evidence, producing a weighted total and grade. Stated figures for market size and revenue growth undergo verification via WebSearch. The tool refuses to accept unverified metrics.

Output is written directly to `pitch-review.md` in the working directory. It details slide-by-slide feedback, highlights five high-impact fixes, and lists any missing sections for the startup's stage. It also predicts at least five investor pushbacks with actionable verbal responses and deck revisions.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add OneWave-AI/claude-skills --skill pitch-deck-reviewer -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/pitch-deck-reviewer/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/pitch-deck-reviewer/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add OneWave-AI/claude-skills --skill pitch-deck-reviewer -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/pitch-deck-reviewer/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add OneWave-AI/claude-skills --skill pitch-deck-reviewer -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/pitch-deck-reviewer/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install OneWave-AI/claude-skills pitch-deck-reviewer
```

2. **Manually: put the files in place**
- File: `.github/skills/pitch-deck-reviewer/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add OneWave-AI/claude-skills --skill pitch-deck-reviewer -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/OneWave-AI/claude-skills --path pitch-deck-reviewer
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/pitch-deck-reviewer/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add OneWave-AI/claude-skills --skill pitch-deck-reviewer -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/OneWave-AI/claude-skills/tree/HEAD/pitch-deck-reviewer/SKILL.md

## When to use it
- review pitch deck slides and build a structured narrative inventory
- calculate a weighted score across eight investor-focused evaluation criteria
- predict five or more investor objections with verbal answers and deck fixes
- verify market size claims and revenue figures through web search
- compare the presentation against established benchmark decks

## Example prompts
- Review the startup presentation in `deck.pdf` and write the feedback to `pitch-review.md`
- Evaluate our slide deck folder `slides/` across all eight scoring dimensions
- Analyze the public Google Slides link, predict investor objections, and identify missing sections

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 0127067530edfc68.

BEGIN THIRD-PARTY FILE 0127067530edfc68
```text
---
name: pitch-deck-reviewer
description: Reviews pitch decks and investor presentations. Reads slide content, evaluates narrative flow, problem/solution clarity, market sizing, competitive positioning, financial projections, team credibility, and ask clarity. Generates a scored pitch-review.md with slide-by-slide feedback, overall score, top improvements, investor objection predictions, and comparisons to successful decks. Use when reviewing fundraising materials, investor decks, or pitch presentations.
tools: Read, Glob, Grep, Bash, Write, Edit, WebSearch, WebFetch
model: inherit
---

# Pitch Deck Reviewer

Review a pitch deck with VC-grade rigor and produce a scored, actionable `pitch-review.md`.

## Contents

- `references/evaluation-framework.md` -- The 8 scored dimensions, weights, red flags, scoring guides, design notes, and overall-score calculation.
- `references/objections-and-benchmarks.md` -- Investor objection categories and the canonical successful-deck benchmarks.
- `references/output-template.md` -- The exact `pitch-review.md` structure to generate.

## Workflow

1. Ingest the deck. Determine file type and location, then read every slide. Supported inputs: PDF (Read directly; for 10+ pages read in batches via the `pages` parameter), PowerPoint .pptx (invoke the pptx skill or Read), Google Slides links (WebFetch if public), images PNG/JPG (Read to inspect visually), markdown/text descriptions, and directories of slide images (Glob to enumerate, then Read each). For .pen files, state that they cannot be read directly.
2. Build a slide inventory. Catalog each slide by number and primary content before any analysis. Identify company name, stage, and industry. Flag any deck over 20 slides as a concern itself; most successful decks run 10-15.
3. Score the 8 dimensions. Apply `references/evaluation-framework.md`. Score each 1-10 with specific evidence from the deck, then compute the weighted overall score and assign the grade label.
4. Write slide-by-slide feedback. Cover every slide with content summary, purpose, effectiveness, strengths, weaknesses, and recommendations.
5. Predict investor objections. Generate at least 5 using the categories in `references/objections-and-benchmarks.md`, each with severity, trigger, suggested verbal response, and deck fix.
```
END THIRD-PARTY FILE 0127067530edfc68

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