slide-deck-images
Generate professional slide-deck SVG images (not PPTX/PDF) when users ask to “create slides / slide deck / PPT” and need image outputs.
Install / Use
npx skills add aipoch/medical-research-skills --skill slide-deck-imagesInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Education & ResearchSupported Platforms
Our assessment of slide-deck-images
slide-deck-images scores 91/100 on our quality scale, 110th of 331 Education & Research skills we index (top 34%).
Its SKILL.md is 9.7 KB long, well organised into 22 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.
With 1,916 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 12 days ago, so slide-deck-images is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-30. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
slide-deck-images compared with similar skills
All 4 of these similar skills score higher than slide-deck-images; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| slide-deck-images (this skill)by aipoch | 91 | 1.9k | 12d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 86.2k | 14d ago | CLAUDE.md |
| last30days-skillby mvanhorn | 100 | 63.2k | today | CLAUDE.md |
| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
Frequently asked questions
- How do I install slide-deck-images?
- Run
npx skills add aipoch/medical-research-skills --skill slide-deck-images. The install tabs above show the steps for each supported agent. - Which AI agents does slide-deck-images work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is slide-deck-images safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is slide-deck-images still maintained?
- The repository was last updated 12 days ago, so slide-deck-images is actively maintained.
Skill content
View source on GitHubname: slide-deck-images description: Generate professional slide-deck SVG images (not PPTX/PDF) when users ask to “create slides / slide deck / PPT” and need image outputs. license: MIT author: AIPOCH
When to Use
Use this skill when you need to produce slide images as SVG files (plus outline/prompts), especially when:
- A user asks for a “slide deck”, “PPT”, or “presentation” but explicitly wants images (SVG) rather than PPTX/PDF.
- You need a readable, shareable deck optimized for scrolling/swiping (each slide stands alone without a presenter).
- You want a style-driven deck using presets (e.g.,
corporate,minimal,blueprint) or custom style dimensions. - You need a structured workflow with optional review gates (outline review, prompt review) before generating images.
- You need to regenerate specific slides (e.g., only slide 3 or slides 2,5,8) without rebuilding everything.
Key Features
- SVG-only output: Generates
.svgslide images (no PPTX/PDF generation). - Deterministic file structure:
- Output directory:
slides-svg/ - Naming:
NN-slide-[slug].svg
- Output directory:
- End-to-end workflow: Analyze → confirm → outline → prompts → SVG render → summary.
- Style system:
- Preset styles (e.g.,
blueprint,corporate,sketch-notes,notion, etc.) - Custom style dimensions: texture, mood, typography, density
- Automatic preset recommendation based on content signals
- Preset styles (e.g.,
- Review controls:
--outline-only,--prompts-only,--images-only- Optional outline/prompt review steps via confirmation questions
- Selective regeneration:
--regenerate <N>or--regenerate 2,5,8 - No image-model dependency: SVG rendering is performed by a Python script using configuration parameters.
Dependencies
- Python 3.10+
- Project script:
scripts/generate_svg.py(invoked locally) - Reference/spec files (used by the workflow):
references/analysis-framework.mdreferences/outline-template.mdreferences/base-prompt.mdreferences/layouts.mdreferences/design-guidelines.mdreferences/dimensions/*.mdreferences/styles/<style>.mdreferences/config/preferences-schema.md
Example Usage
CLI (skill invocation)
/slide-deck "Explain OAuth 2.0 for product managers"
/slide-deck "Explain OAuth 2.0 for product managers" --style corporate
/slide-deck "Explain OAuth 2.0 for product managers" --audience executives
/slide-deck "Explain OAuth 2.0 for product managers" --lang en
/slide-deck "Explain OAuth 2.0 for product managers" --slides 10
/slide-deck "Explain OAuth 2.0 for product managers" --outline-only
/slide-deck "Explain OAuth 2.0 for product managers" --prompts-only
/slide-deck "Explain OAuth 2.0 for product managers" --images-only
/slide-deck "Explain OAuth 2.0 for product managers" --regenerate 3
/slide-deck "Explain OAuth 2.0 for product managers" --regenerate 2,5,8
/slide-deck # then paste content
Generate SVG files locally
The SVG renderer reads parameters from its configuration area and does not use CLI arguments:
python scripts/generate_svg.py
Expected outputs:
outline.mdprompts/(one prompt file per slide)slides-svg/NN-slide-[slug].svg
Implementation Details
Output constraints
- Format:
.svg - Output directory:
slides-svg/ - Filename pattern:
NN-slide-[slug].svg
Style system
Presets
| Preset | Characteristics | Typical use |
|---|---|---|
| blueprint (default) | grid + cool + technical + balanced | architecture, system design |
| chalkboard | organic + warm + handwritten + balanced | education, tutorials |
| corporate | clean + professional + geometric + balanced | pitches, proposals |
| minimal | clean + neutral + geometric + minimal | executive briefings |
| sketch-notes | organic + warm + handwritten + balanced | education, tutorials |
| watercolor | organic + warm + humanist + minimal | lifestyle, wellness |
| dark-atmospheric | clean + dark + editorial + balanced | entertainment, gaming |
| notion | clean + neutral + geometric + dense | product demos, SaaS |
| bold-editorial | clean + vibrant + editorial + balanced | launches, keynotes |
| editorial-infographic | clean + cool + editorial + dense | explainers, research |
| fantasy-animation | organic + vibrant + handwritten + minimal | storytelling |
| intuition-machine | clean + cool + technical + dense | academia, technical docs |
| pixel-art | pixel + vibrant + technical + balanced | gaming, dev talks |
| scientific | clean + cool + technical + dense | medical, biology, chemistry |
| vector-illustration | clean + vibrant + humanist + balanced | creative, kids content |
| vintage | paper + warm + editorial + balanced | history, culture |
Style dimensions
| Dimension | Options | Meaning | |---|---|---| | Texture | clean, grid, organic, pixel, paper | background/texture treatment | | Mood | professional, warm, cool, vibrant, dark, neutral | tone and color temperature | | Typography | geometric, humanist, handwritten, editorial, technical | heading/body typographic feel | | Density | minimal, balanced, dense | information density per slide |
Full dimension specs: references/dimensions/*.md
Automatic preset recommendation (signals → preset)
| Content signals | Preset |
|---|---|
| tutorial, learn, education, guide, beginner | sketch-notes |
| classroom, teaching, school, chalkboard | chalkboard |
| architecture, system, data, analysis, technical | blueprint |
| creative, children, kids, cute | vector-illustration |
| briefing, academic, research, bilingual | intuition-machine |
| executive, minimal, clean, simple | minimal |
| saas, product, dashboard, metrics | notion |
| investor, quarterly, business, corporate | corporate |
| launch, marketing, keynote, magazine | bold-editorial |
| entertainment, music, gaming, atmospheric | dark-atmospheric |
| explainer, journalism, science communication | editorial-infographic |
| story, fantasy, animation, magical | fantasy-animation |
| gaming, retro, pixel, developer | pixel-art |
| biology, chemistry, medical, scientific | scientific |
| history, heritage, vintage, expedition | vintage |
| lifestyle, wellness, travel, artistic | watercolor |
| Default | blueprint |
Design philosophy (reader-first decks)
Decks are designed for reading and sharing, not live presenting:
- Each slide is understandable without narration.
- Logical flow when scrolling/swiping.
- Each slide includes necessary context.
- Optimized for social sharing.
See: references/design-guidelines.md (visual hierarchy, density, colors, fonts, recommendations).
Layouts: references/layouts.md.
Workflow and state files
Step 1: Setup & Analyze
-
Load preferences from
EXTEND.md(if present) and summarize:- Style (preset/custom)
- Audience (or auto-detect)
- Language (or auto-detect)
- Review enabled/disabled
Schema:references/config/preferences-schema.md
-
Analyze content (per
references/analysis-framework.md):- Save input as
source.md(backup existing assource-backup-YYYYMMDD-HHMMSS.md) - Detect language
- Recommend style preset from content signals
- Estimate slide count
- Generate topic slug
- Save input as
-
Check existing content (required) before confirmation:
- If output directory exists, ask how to proceed:
- Regenerate outline (keep images)
- Regenerate images (keep outline)
- Backup and regenerate all (
{slug}-backup-{timestamp}) - Exit
- Save
analysis.mdwith topic, audience, signals, recommended style, slide count, language.
- If output directory exists, ask how to proceed:
Step 2: Confirmation (required)
-
Two rounds:
- Round 1: always
- Round 2: only if “Custom dimensions” is selected
-
Round 1 questions (AskUserQuestion):
- Style (recommended preset / alternative / custom dimensions)
- Audience (general/beginners/experts/executives)
- Slide count (recommended / fewer / more)
- Review outline? (yes/no)
- Review prompts? (yes/no)
-
Round 2 (custom dimensions): AskUserQuestion for texture, mood, typography, density.
After confirmation:
- Write results back to
analysis.md - Record
skip_outline_reviewandskip_prompt_review
Step 3: Generate outline
- If preset: read
references/styles/{preset}.md - If custom: combine from
references/dimensions/ - Follow
references/outline-template.md - Save as
outline.md - Stop if
--outline-only - If
skip_outline_review→ skip to Step 5, else Step 4
Step 4: Review outline (conditional)
- Show slide summary table (title/type/layout)
- Ask whether to proceed, edit
outline.md, or regenerate outline
Step 5: Generate prompts
- Base prompt:
references/base-prompt.md - For each slide:
- Extract style instructions from outline
- Merge layout guidance from
references/layouts.mdwhen specified
- Save to
prompts/- Backup existing prompt files as
prompts/NN-slide-{slug}-backup-YYYYMMDD-HHMMSS.md
- Backup existing prompt files as
- Stop if
--prompts-only - If
skip_prompt_review→ skip to Step 7, else Step 6
Step 6: Review prompts (conditional)
- Show prompt list table and
prompts/path - Ask whether to proceed, edit prompts, or regenerate prompts
Step 7: Generate SVG images
- If
--images-only, start here - If
--regenerate, render only specified pages - Render via
scripts/generate_svg.py - Create session id:
slides-{topic-slug}-{timestamp} - Backup existing images as
NN-slide-{slug}-backup-YYYYMMDD-HHMMSS.svg - Progress reporting:
Generated X/N(in user language) - Retry once on failure, then report error
Step 8: Output summary
Include:
- Topic
- Style (preset or custom dimensions)
- Total slides
- List of generated SVG filenames
outline.mdlocation
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
