Agent skill · marketing growth · onewave-ai
pitch-deck-reviewer
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.
Why this skill is useful
Generates a detailed pitch review with scoring and actionable feedback that incorporates investor objections and benchmarks not commonly found in public resources.
What it needs
About 2k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
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. 6. Compare to benchmark decks. Reference at least 2 relevant decks from references/objections-and-benchmarks.md; name where this deck is stronger, weaker, and what to borrow. 7. Rank the top 5 improvements by impact and list any missing slides or sections for this stage and industry. 8. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/pitch-deck-reviewer