scientific-slides

scientific-slides is a skill for Claude Code from agentlas-ai/agentlas-desktop. It costs 65 tokens per session (4,738 once invoked), scanned A, a copy of scientific-slides, Apache-2.0.

A guide for building slide decks and talks about research, including conference presentations, seminars, thesis defenses, and professional briefings. It covers structure, timing, visual design, figures, citations, and checking the finished slides.

In plain words
What is it for?
Use it to plan and create PowerPoint research presentations, organise a narrative, choose figures, prepare speaker-focused text, and check the visual result.
Why use it?
It helps turn research results into a clear spoken story instead of a collection of dense text and data. It also helps match the slides to the audience and the purpose of the talk.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: built for openclaw.

Good fit Use it to plan and create PowerPoint research presentations, organise a narrative, choose figures, prepare speaker-focused text, and check the visual result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentlas-ai/agentlas-desktop/scientific-slides
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 agentlas-ai/agentlas-desktop --skill scientific-slides
Clone the repo
git clone --depth 1 https://github.com/agentlas-ai/agentlas-desktop

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 scientific-slides

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/scientific-slides/github.svg)](https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/scientific-slides)
Your own site
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/scientific-slides"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/scientific-slides/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 scientific-slides

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/scientific-slides"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/scientific-slides.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,738 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.
Origin 98% copy Near-identical to another mod 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 $0.00065 $0.04738
Opus 5.5 $0.00026 $0.01895
Sonnet 5.5 $0.00013 $0.00948
Haiku 4.5 $0.00006 $0.00474

Measured 1mo ago against content hash 9c5c4f7e9911, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

scientific-slides 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 1mo ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/generate_schematic_ai.py, scripts/generate_schematic.py, scripts/generate_slide_image_ai.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.

Origin

This is a copy

98% identical to scientific-slides — 107 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/agentlas-science-skills/skills/scientific-slides/SKILL.md · 397 lines

How it starts

The opening of the file, as written. The whole thing — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scientific Slides

Overview

Scientific presentations are a critical medium for communicating research, sharing findings, and engaging with academic and professional audiences. This skill provides comprehensive guidance for creating effective scientific presentations, from structure and content development to visual design and delivery preparation.

Key Focus: Oral presentations for conferences, seminars, defenses, and professional talks.

CRITICAL DESIGN PHILOSOPHY: Scientific presentations should be VISUALLY ENGAGING and RESEARCH-BACKED. Avoid dry, text-heavy slides at all costs. Great scientific presentations combine:

  • Compelling visuals: High-quality figures, images, diagrams (not just bullet points)
  • Research context: Proper citations from research-lookup establishing credibility
  • Minimal text: Bullet points as prompts, YOU provide the explanation verbally
  • Professional design: Modern color schemes, strong visual hierarchy, generous white space
  • Story-driven: Clear narrative arc, not just data dumps

Remember: Boring presentations = forgotten science. Make your slides visually memorable while maintaining scientific rigor through proper citations.

When to Use This Skill

This skill should be used when:

  • Preparing conference presentations (5-20 minutes)
  • Developing academic seminars (45-60 minutes)
  • Creating thesis or dissertation defense presentations
  • Designing grant pitch presentations
  • Preparing journal club presentations
  • Giving research talks at institutions or companies
  • Teaching or tutorial presentations on scientific topics

Slide Generation with Nano Banana Pro

This skill uses Nano Banana Pro AI to generate stunning presentation slides automatically.

There are two workflows depending on output format:

Default Workflow: PDF Slides (Recommended)

Generate each slide as a complete image using Nano Banana Pro, then combine into a PDF. This produces the most visually stunning results.

How it works:

  1. Plan the deck: Create a detailed plan for each slide (title, key points, visual elements)
  2. Generate slides: Call Nano Banana Pro for each slide to create complete slide images
  3. Combine to PDF: Assemble slide images into a single PDF presentation

Read the full file on GitHub · 397 lines

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. 1mo ago First seen · 397 lines · 65 tokens per session scan A 9c5c4f7e9911

Subscribe to this mod's changes

scientific-slides is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 4,738 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to scientific-slides, differing in 107 lines, and is treated as a copy.

Related

Other skills, from other repositories

architecture-diagram

How to draw and maintain the architecture diagram Ensemblr keeps for a workspace — ensemblrgetarchitecturediagram to fetch the stored one (it answers with null when nobody has drawn this workspace yet), the IR shape, how to derive it from the codebase, and ensemblrupdatearchitecturediagram to store it. Read this when…

ensemblr-hq/ensemblr · 94 tokens

winui-design

Read before writing or changing WinUI 3 XAML: choosing controls, pages and navigation, layout, Fluent Design, theming, accessibility, x:Bind, real samples, and checking that APIs exist with winapp find-api. Not for WPF or WinForms UI, even if the app uses the Windows App SDK.

microsoft/winappCli · 70 tokens

figma-generate-design

Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the…

warpdotdev/warp · 160 tokens

openscreen-design

Use this skill to generate well-branded interfaces and assets for OpenScreen (an AI-native screen-recording studio & video editor), either for production or throwaway prototypes/mocks/etc. Contains essential design guidelines, colors, type, fonts, assets, and UI kit components for prototyping.

getopenscreen/openscreen · 62 tokens

vellum-avatar

Customize the assistant's avatar - build a native character, upload an image, or generate one with AI.

vellum-ai/vellum-assistant · 24 tokens

edit-figma-design

Create or update Figma designs directly from a written product or UI description using the Figma MCP authoring tools. Use when the user wants a mockup, wireframe, screen, component, flow, or concept designed in Figma from text, or wants to iterate on an existing Figma file from textual feedback. Despite the name, this…

warpdotdev/warp · 134 tokens