PPTX Slide Auditor Skill

Runs a systematic visual and structural audit of a PowerPoint presentation — identifying layout issues, text overflow, inconsistent styling, weak visual hierarchy, and slides that will cause problems in a presentation setting. Built to leverage Opus 4.7 vision improvements for pixel-level layout analysis.

Required Inputs

Ask the user for these if not provided:

• The deck (upload the .pptx file or individual slide screenshots)
• Audience (internal team / executive / external client / conference / investor)
• Presentation mode (presented live / sent to read / shared async on video)
• Areas of concern (optional — e.g. "I think slide 12 is overcrowded")

Output Structure

1. Deck Overview

| Metric | Result | |---|---| | Total slides | N | | Overall status | Ready / Minor fixes needed / Major revisions required | | Readability score | /10 | | Visual consistency score | /10 | | Most common issue | Pattern observed across multiple slides] |

2. Slide-by-Slide Audit

For each slide with issues:

Slide N: Slide title]

• Status: Ready / Fix before sending / Major revision
• Issues found:
• Specific issue with exact location — e.g. "Body text extends beyond the text frame on the right side"]
• Issue 2]
• Suggested fix: Specific action — move element, reduce text, resize]

Slides with no issues: just list the slide numbers. Do not write anything else about them.

3. Pattern Issues Across the Deck

Issues that repeat across multiple slides:

Pattern title — e.g. "Inconsistent body text size"]

• Slides affected: list]
• Root cause: master slide issue / manual overrides / mixed templates]
• Fix: Single action to resolve across all affected slides]

4. Visual Hierarchy Check

| Dimension | Status | Notes | |---|---|---| | Title consistency (size, font, colour) | Pass / Fail | | | Body text readability at presentation distance | Pass / Fail | | | Image placement alignment | Pass / Fail | | | Whitespace and breathing room | Pass / Fail | | | Data visualisation clarity | Pass / Fail / N/A | |

5. Audience-Specific Flags

Based on the stated audience:

• Executive audience: flag slides with too much text, complex tables, or unclear bottom-line messages
• External client: flag slides with internal jargon, unfinished placeholder text, or confidentiality concerns
• Live presentation: flag slides that will be hard to read from the back of a room
• Async/video: flag slides that assume a presenter voiceover

6. Prioritised Fix List

| # | Fix | Slide | Effort | Impact | |---|---|---|---|---| | 1 | Specific fix] | Slide N | Low/Med/High | High |

Order by: fixes before handoff (critical) > consistency fixes (high) > polish (medium).

Quality Checks

• ] Every issue references a specific slide number and location on the slide
• ] Pattern issues are identified separately from slide-specific issues
• ] Fix list is ordered by impact, not by slide order
• ] Audience-appropriate concerns flagged explicitly
• ] Slides without issues are listed briefly, not ignored

Anti-Patterns

• ] Do not flag stylistic preferences as issues — only report genuine layout problems, overflow, and consistency errors
• ] Do not produce a flat list of issues — group by severity (Critical / Major / Minor) so fixes can be prioritised
• ] Do not skip slides without commenting — every slide must have an explicit pass or issue status
• ] Do not suggest redesigning content — the audit scope is layout, consistency, and readability, not messaging
• ] Do not report the same issue type repeatedly across slides without summarising the pattern — consolidate repeated issues

Example Trigger Phrases

• "Audit this slide deck before my board meeting"
• "Review this PowerPoint for layout issues"
• "Check this presentation for consistency problems"
• "QA my deck before I send it to the client"
• "What is wrong with slide 7 in this deck?"

Why This Works Better on Opus 4.7

Earlier models struggled with precise spatial analysis of slide layouts — they would hallucinate issues or miss obvious overflow problems. Opus 4.7 vision improvements mean coordinates map 1:1 to pixels, making slide-level issue detection reliable without manual screenshot annotation.