Agent skill

Generate Writeup

by pamelafox in pamelafox/presentation-skills

Generate an annotated blog-style write-up from a presentation's slides and video recording.

MITAuto-check passedDocuments & Office

Install Generate Writeup

skills CLI
$ npx skills add pamelafox/presentation-skills --skill generate-writeup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install pamelafox/presentation-skills generate-writeup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/pamelafox/presentation-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/generate-writeup .claude/skills/generate-writeup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
generate-writeup
GitHub stars
125
Token cost
~2.2k tokens
SKILL.md length
884 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Generate an annotated blog-style write-up from a presentation's slides and video recording.

  • Works in 9 steps: Resolve slides → Convert slides to images → Extract transcript → …
  • Presentation summary
  • SKILL.md covers presentation.md format, Pipeline and Output structure
  • Calls uv; reaches youtube.com

What it does

Generate Writeup is an agent skill from pamelafox/presentation-skills. Generate an annotated blog-style write-up from a presentation's slides and video recording. Orchestrates the full pipeline: fetching slides, converting to images, extracting transcript, generating chapters, outlining slides, and producing the final annotated markdown. USE FOR: write-up, blog post, presentation summary, annotated write-up, generate writeup.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Slides and decks. The repository describes itself as: Skills for AI agents to process presentations - helpful for teachers and speakers. The licence is MIT.

When your agent uses it

  • Presentation summary
  • Annotated write-up
  • Generate writeup

Example prompts

  • “/generate-writeup”

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Resolve slides
  2. Convert slides to images
  3. Extract transcript
  4. Generate video chapters
  5. Extract slide text
  6. Outline slides
  7. Generate the annotated write-up
  8. Insert table of contents
  9. Save output

What it can do on your machine

Read from SKILL.md and the folder at commit 2b809b3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • youtube.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Generate Writeup loads about 2.2k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 884 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from pamelafox/presentation-skills at commit 2b809b3, republished under its MIT licence (© pamelafox). 884 words, ~2,231 tokens.

Download SKILL.mdSave it as .claude/skills/generate-writeup/SKILL.md (or your agent's skills folder).
name
generate-writeup
description
Generate an annotated blog-style write-up from a presentation's slides and video recording. Orchestrates the full pipeline: fetching slides, converting to images, extracting transcript, generating chapters, outlining slides, and producing the final annotated markdown. USE FOR: write-up, blog post, presentation summary, annotated write-up, generate writeup.
argument-hint
<presentation_folder>

Generate annotated write-up from a presentation

You are generating a blog-style write-up from a presentation. The user will provide a presentation folder path (e.g., presentations/my-talk). That folder must contain a presentation.md file.

presentation.md format

markdown
# Talk title

- **Date:** 2026-01-15
- **Video:** https://www.youtube.com/watch?v=VIDEO_ID
- **Slides:** slides.pdf
- **Transcript:** transcript.txt

## Notes

Extra notes here

Required fields: Video and Slides. All others are optional. Slides can be a local PDF path, PDF URL, PPTX URL, OneDrive link, or RevealJS URL. Video can be a YouTube URL or local MP4 path.

Pipeline

Follow these steps in order. Cache all intermediate outputs in <presentation_folder>/outputs/ so subsequent runs skip completed steps.

Step 1: Resolve slides
  • If Slides in presentation.md is a URL, fetch and convert to PDF:
    bash
    uv run .agents/skills/fetch-slides/fetch_slides.py <url> <presentation_folder>/outputs
    This produces slides.pdf (and slides_content.md for RevealJS URLs).
  • If slides is a local file path (relative to the presentation folder), use it directly.
  • Skip if <presentation_folder>/outputs/slides.pdf already exists.
Step 2: Convert slides to images

Split the PDF into individual PNGs:

bash
uv run .agents/skills/convert-slides-to-images/convert_slides_to_images.py <pdf_path> <presentation_folder>/outputs/slide_images

Skip if <presentation_folder>/outputs/slide_images/ already contains slide_*.png files.

Step 3: Extract transcript
  • If Transcript is specified in presentation.md, read from that path (relative to presentation folder).
  • If <presentation_folder>/outputs/transcript.txt exists, use the cached version.
  • Otherwise, extract from YouTube:
    bash
    uv run .agents/skills/extract-transcript/extract_transcript.py <youtube_url> <presentation_folder>/outputs/transcript.txt
Step 4: Generate video chapters

If <presentation_folder>/outputs/chapters.txt exists, use the cached version. Otherwise:

  1. Read the transcript from Step 3.
  2. Write a brief summary paragraph (2-3 sentences) describing what the video is about.
  3. Create a list of timestamped chapters in "MM:SS - Chapter Title" format covering the main topics.
  4. Save to <presentation_folder>/outputs/chapters.txt.
Step 5: Extract slide text

Extract the text content of each PDF page to provide ground truth for what each slide actually says. This prevents misidentifying embedded screenshots or demo captures as actual slide content.

bash
uv run .agents/skills/extract-slide-text/extract_slide_text.py <pdf_path> <presentation_folder>/outputs/slide_ascii.md <presentation_folder>/outputs/slide_images

Skip if <presentation_folder>/outputs/slide_ascii.md already exists.

Step 6: Outline slides

If <presentation_folder>/outputs/outline.txt exists, use the cached version. Otherwise:

  1. Find all slide_*.png files in <presentation_folder>/outputs/slide_images/, sorted numerically.
  2. Read <presentation_folder>/outputs/slide_ascii.md (from Step 5) as ground truth for each slide's text content.
  3. Look at each slide image and write a one-sentence summary. Base the summary primarily on the extracted text from slide_ascii.md, using the image only for visual context (diagrams, layout, screenshots).
  4. For large presentations (50+ slides), work in batches of 50.
  5. Save to <presentation_folder>/outputs/outline.txt.
Step 7: Generate the annotated write-up

Gather all context, then generate the write-up following the rules below.

Context to gather:

  • TRANSCRIPT — Full transcript text (Step 3)
  • VIDEO_CHAPTERS — Chapter summary (Step 4)
  • SLIDE_TEXT — Extracted text per slide from slide_ascii.md (Step 5). Use as ground truth for what each slide contains.
  • SLIDE_OUTLINE — Numbered slide outline (Step 6)
  • VIDEO_SOURCE — YouTube URL or MP4 path from presentation.md
  • IS_LOCAL_VIDEO — true if VIDEO_SOURCE is a local MP4 file
  • SLIDES_HTML_CONTENT — Contents of slides_content.md if it exists (RevealJS only)
  • Check if SLIDES_HTML_CONTENT contains "SECTION HEADING" markers → HAS_SECTION_HEADINGS

Write-up generation prompt:

Create an annotated blog post that explains the content of each slide.

STRUCTURE REQUIREMENTS:

  1. Start with a level-1 heading (#) containing the talk title.
  2. Follow with an overview paragraph introducing the talk.
  3. Do NOT include a table of contents — it will be generated automatically.

If HAS_SECTION_HEADINGS is true (RevealJS slides with section markers):

  • Use level-2 headings (##) for SECTION HEADING slides — these are section dividers.
  • Use level-3 headings (###) for regular slides within each section.

If HAS_SECTION_HEADINGS is false:

  • Use level-2 headings (##) with a descriptive title for each slide's content.
Show full SKILL.md (356 more words)Show less

For each slide section, include:

  • The heading
  • The slide image reference immediately after the heading: ![Alt text](slide_images/slide_N.png)
  • A timestamp link to the video (or [MM:SS] for local MP4s)
  • The explanatory text

End with a ## Q&A section containing questions and answers, each question as a level-3 heading (###).

HEADING CAPITALIZATION: Capitalize the first letter like a normal sentence. Only capitalize proper nouns and acronyms elsewhere.

  • CORRECT: "Hybrid search combines keyword and vector retrieval"
  • WRONG: "Hybrid Search Combines Keyword And Vector Retrieval" (title case)

Example structure:

markdown
# Building intelligent agents with RAG

This talk introduces techniques for building AI agents...

## Hybrid search combines multiple retrieval methods

![Diagram showing hybrid search architecture](slide_images/slide_8.png)
[Watch from 04:12](https://www.youtube.com/watch?v=VIDEO_ID&t=252s)

Hybrid search combines keyword search and vector search...

## Q&A

### How do I configure specific indexes as knowledge sources?

Answer text here...

WRITING GUIDELINES:

  1. Write like speaker notes: state the actual information and explain how things work. Do NOT describe or analyze the talk from the outside.
  2. Never narrate what speakers, slides, or the talk itself did. Forbidden patterns include "The speaker explains...", "This slide shows...", "The talk demonstrates...", "This section marks the shift to...", "The diagram illustrates...". Instead, just state the content directly.
  3. Make every sentence information-dense without repetition.
  4. Provide enough detail per slide that a reader does not need to watch the video.
  5. Capture supplementary information from the talk that is NOT visible on the slides.
  6. Use short words, fewer words. Get to the point.
  7. Avoid multiple examples if one suffices. Cut transitional fluff.
  8. Prefer flowing prose over bullet points.
  9. Use simple language. No emojis. No hedge words unless exceptions matter.
  10. Include relevant links from the slides where appropriate.
  11. For YouTube videos, create timestamped links: [Watch from MM:SS](VIDEO_SOURCE&t=SECONDSs)
  12. For local MP4 files, just provide timestamps in [MM:SS] format.
  13. Reference slides as slide_images/slide_1.png, slide_images/slide_2.png, etc.

If SLIDES_HTML_CONTENT exists, use it to find URLs that should be included in the writeup.

Step 8: Insert table of contents

After generating the write-up:

  1. Find all ## headings in the generated markdown.
  2. For each heading, create an anchor link:
    • Convert to lowercase
    • Remove special characters (keep alphanumeric, spaces, hyphens)
    • Replace spaces with hyphens
    • Collapse multiple hyphens
  3. Build a TOC:
    markdown
    ## Table of contents
    
    - [Heading text](#anchor-link)
    - [Another heading](#another-heading)
  4. Insert the TOC before the first ## heading (after the # title and intro paragraph).
Step 9: Save output

Save the final write-up to <presentation_folder>/outputs/writeup.md.

Output structure

<presentation_folder>/
├── presentation.md
└── outputs/
    ├── writeup.md           ← Final output
    ├── transcript.txt       ← Cached transcript
    ├── chapters.txt         ← Cached video chapters
    ├── slide_ascii.md       ← Extracted text per slide
    ├── outline.txt          ← Cached slide outline
    ├── slides_content.md    ← RevealJS extracted content (if applicable)
    └── slide_images/
        ├── slide_1.png
        ├── slide_2.png
        └── ...

© pamelafox, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/generate-writeup of pamelafox/presentation-skills.

Open the folder on GitHubat commit 2b809b3

Compare with similar skills

Generate Writeup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Generate Writeup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Codex Slidesnexu-io/codex-slides9241 repos~3kAutomated safety check: PassMIT
Slidesfcakyon/claude-codex-settings1.2k1 repos~1.1kAutomated safety check: PassMIT
Ppt Image FirstNyxTides/ppt-image-first1.2k—~1.6kAutomated safety check: PassApache-2.0
Vibe to Agentic Engineering Frameworkshanraisshan/claude-code-best-practice67k—~3.3kAutomated safety check: PassMIT

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Questions about Generate Writeup

What does Generate Writeup do?

Generate an annotated blog-style write-up from a presentation's slides and video recording. Generate Writeup is an agent skill from pamelafox/presentation-skills. Generate an annotated blog-style write-up from a presentation's slides and video recording.

When should I use Generate Writeup?

Generate Writeup fits situations like: presentation summary; annotated write-up; generate writeup.

How do I install Generate Writeup in Claude Code?

Run `npx skills add pamelafox/presentation-skills --skill generate-writeup -a claude-code`. Or copy the skill folder (.agents/skills/generate-writeup in pamelafox/presentation-skills) into .claude/skills/generate-writeup in your project. Claude Code loads it when a task matches its description.

How do I install Generate Writeup in Codex?

Run `npx skills add pamelafox/presentation-skills --skill generate-writeup -a codex`. Or copy the skill folder (.agents/skills/generate-writeup in pamelafox/presentation-skills) into .agents/skills/generate-writeup in your project. Codex loads it when a task matches its description.

Can I use Generate Writeup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pamelafox/presentation-skills --skill generate-writeup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-writeup, .gemini/skills/generate-writeup, .github/skills/generate-writeup and .opencode/skills/generate-writeup in your project.

What does Generate Writeup need to run?

Going by SKILL.md and its folder, Generate Writeup needs the command-line tools its instructions call (uv).

Does Generate Writeup access the network?

SKILL.md names 1 domain. In commands or code: youtube.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Generate Writeup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Generate Writeup use?

Generate Writeup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Generate Writeup use?

About 2.2k tokens (SKILL.md is roughly 8.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Generate Writeup?

Skills that share tags, products or a category with Generate Writeup: Image To Editable Ppt (ningzimu/image-to-editable-ppt-skill, 2.8k stars), Codex Slides (nexu-io/codex-slides, 924 stars), Slides (fcakyon/claude-codex-settings, 1.2k stars) and Ppt Image First (NyxTides/ppt-image-first, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Generate Writeup?

pamelafox (a GitHub user) maintains it in pamelafox/presentation-skills, which has 125 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 2, 2026.

Source: pamelafox/presentation-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.