convert-slides-to-images

convert-slides-to-images is a skill for Claude Code from pamelafox/presentation-skills. It costs 67 tokens per session (267 once invoked), scanned A, original, MIT.

A script that turns a PDF presentation into separate PNG image files, with one image for each page or slide.

In plain words
What is it for?
Use it to split PDF slide decks into image files for previews, web pages, documentation, or image-based processing.
Why use it?
It saves you from exporting every slide manually when you need presentation pages as images.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to split PDF slide decks into image files for previews, web pages, documentation, or image-based processing.

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Install with agentmods
npx agentmods add skills/pamelafox/presentation-skills/convert-slides-to-images
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 pamelafox/presentation-skills --skill convert-slides-to-images
Clone the repo
git clone --depth 1 https://github.com/pamelafox/presentation-skills

Made for: Claude Code.

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 convert-slides-to-images

README.md
[![agentmods](https://agentmods.dev/badge/skills/pamelafox/presentation-skills/convert-slides-to-images/github.svg)](https://agentmods.dev/skills/pamelafox/presentation-skills/convert-slides-to-images)
Your own site
<a href="https://agentmods.dev/skills/pamelafox/presentation-skills/convert-slides-to-images"><img src="https://agentmods.dev/badge/skills/pamelafox/presentation-skills/convert-slides-to-images/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 convert-slides-to-images

Your own site · 80×15
<a href="https://agentmods.dev/skills/pamelafox/presentation-skills/convert-slides-to-images"><img src="https://agentmods.dev/badge/skills/pamelafox/presentation-skills/convert-slides-to-images.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 267 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00067 $0.00267
Opus 5 $0.00034 $0.00133
Sonnet 5 $0.00013 $0.00053
Haiku 4.5 $0.00007 $0.00027

Measured 12d ago against content hash e066b04118f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

convert-slides-to-images 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (convert_slides_to_images.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/convert-slides-to-images/SKILL.md · 33 lines

What it actually says

Convert PDF slides to images

Run the convert_slides_to_images.py script to split a PDF into individual PNG images:

uv run .agents/skills/convert-slides-to-images/convert_slides_to_images.py <pdf_path> <output_dir>

Arguments

  • pdf_path (required): Path to the PDF file to convert.
  • output_dir (required): Directory to save the PNG images. Created if it doesn't exist.

Outputs

Individual PNG files named slide_1.png, slide_2.png, etc. in the output directory.

Prerequisites

Poppler utilities must be installed (provides the pdftoppm command):

  • macOS: brew install poppler
  • Ubuntu: apt-get install poppler-utils
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 33 lines · 67 tokens per session scan A e066b04118f1

Subscribe to this mod's changes

convert-slides-to-images is a skill published in the GitHub repository pamelafox/presentation-skills (117 stars, last pushed 9d ago), licensed MIT. It adds 67 tokens to every session and 267 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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