- version
- 2.0.0
- name
- slideshow-generator
- description
- Create HTML slideshows from Markdown with live preview. Use when drafting slides, editing decks, optimizing layouts, scheduling talks, repurposing content.
Slideshow Generator
Content creation and slide deck toolkit. Draft slides, edit content, optimize layouts, manage schedules, and generate headlines — all from the command line.
Commands
Run slideshow-generator <command> [args] to use.
| Command | Description |
|---|---|
draft <input> | Draft slide content or presentation ideas |
edit <input> | Edit and refine existing slide text |
optimize <input> | Optimize slide content for clarity and impact |
schedule <input> | Schedule presentations or talk dates |
hashtags <input> | Generate hashtags for slide content or social sharing |
hooks <input> | Create attention-grabbing hooks for opening slides |
cta <input> | Write calls-to-action for closing slides |
rewrite <input> | Rewrite slide content in a different style |
translate <input> | Translate slide text to another language |
tone <input> | Adjust the tone of slide content (formal, casual, etc.) |
headline <input> | Generate headlines or slide titles |
outline <input> | Create presentation outlines and structure |
stats | Show summary statistics across all log files |
export <fmt> | Export all data (json, csv, or txt) |
search <term> | Search all entries for a keyword |
recent | Show the 20 most recent history entries |
status | Health check — version, data size, entry count |
help | Show help message |
version | Show version (v2.0.0) |
Each data command (draft, edit, optimize, schedule, hashtags, hooks, cta, rewrite, translate, tone, headline, outline) works in two modes:
- Without arguments — displays the 20 most recent entries from its log
- With arguments — saves the input with a timestamp to its dedicated log file
Data Storage
All data is stored in ~/.local/share/slideshow-generator/:
draft.log,edit.log,optimize.log,schedule.log,hashtags.log,hooks.log— per-command log filescta.log,rewrite.log,translate.log,tone.log,headline.log,outline.log— additional command logshistory.log— unified activity history across all commandsexport.json,export.csv,export.txt— generated export files
Set SLIDESHOW_GENERATOR_DIR environment variable to override the default data directory.
Requirements
- Bash 4+ with standard coreutils (
date,wc,du,tail,grep,sed) - No external dependencies — pure shell implementation
When to Use
- Drafting slide decks — quickly draft and iterate on presentation content from the terminal
- Refining presentation text — edit, rewrite, or adjust tone of existing slide content
- Scheduling talks — keep track of upcoming presentation dates and deadlines
- Creating social hooks — generate hashtags, headlines, and CTAs for promoting talks online
- Outlining presentations — structure a talk from scratch with hierarchical outlines
Examples
# Draft slide content
slideshow-generator draft "Intro slide: Why AI agents matter in 2026"
# Create an outline
slideshow-generator outline "1. Problem Statement 2. Our Solution 3. Demo 4. Results 5. Q&A"
# Generate a headline
slideshow-generator headline "The Future of Autonomous Coding: 5 Trends to Watch"
# Write a hook
slideshow-generator hooks "What if your code could write itself? (pause) It already can."
# Create a CTA
slideshow-generator cta "Star our repo on GitHub — join 10k+ developers building the future"
# Optimize content
slideshow-generator optimize "Slide 3: reduced from 85 words to 32, added visual cue"
# Generate hashtags
slideshow-generator hashtags "#AIAgents #DevTools #Presentation #TechTalk #Automation"
# Schedule a talk
slideshow-generator schedule "PyCon 2026: Apr 15 14:00, Room B, 30min slot"
# Export all data as JSON
slideshow-generator export json
# Search entries
slideshow-generator search "AI"
# View recent activity
slideshow-generator recent
# Show statistics
slideshow-generator statsOutput
All commands output results to stdout. Log entries are stored with timestamps in pipe-delimited format (YYYY-MM-DD HH:MM|value). Use export to convert all data to JSON, CSV, or plain text.
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