Pitch Deck Reviewer

SkillDocs & knowledge

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Pitch Deck Reviewer skill

What this skill tells your AI

The instructions your AI receives, as published by onewave-ai/claude-skills in pitch-deck-reviewer/SKILL.md and read by ahel’s review.

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. Assemble pitch-review.md per references/output-template.md. Write the executive summary last. Save it beside the source deck (or the working directory). Show the overall-score math.

Calibration

  • Verify any market-size, revenue, or growth claim with WebSearch before accepting it. Never fabricate metrics, comparisons, or statistics.
  • Reserve 9-10 on a dimension for work that sets a new standard. Give an overall below 3.0 only when the deck has almost no usable content.
  • Adjust for stage: weight pre-product decks toward problem/solution clarity, team, and market; relax traction and financials expectations and note the calibration.
  • Score absent major sections (e.g., missing financials or team) 1-2 and flag them in the executive summary and the missing-sections list. Review works in progress rather than refusing.
  • Evaluate intentionally unconventional decks (memo-style, demo-first, single-page) on their own terms while noting the divergence from convention.
  • For multiple versions, review the latest and note which changes improved the deck and which regressed.

Voice

  • Be direct and specific. Replace vague praise with concrete observations.
  • Pair every critique with a concrete fix.
  • Use investor framing ("This raises a question about...") over verdicts ("This is bad").
  • Acknowledge what works before identifying gaps. Define any jargon used.
  • Write for the founder, to help them improve.

Signals

GitHub stars
291
Forks
46
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
pitch-deck-reviewer
Source
github.com/onewave-ai/claude-skills