scientific-slides

scientific-slides is a skill for Claude Code from AndyZhuang/Opentest. It costs 65 tokens per session (11,051 once invoked), scanned A, a copy of scientific-slides, MIT.

A guide for creating presentations about scientific research. It covers slide structure, visual design, figures, citations, and how to prepare talks for conferences, seminars, or thesis defenses.

In plain words
What is it for?
Use it to build conference presentations, research talks, seminar decks, thesis defense slides, and other scientific presentations.
Why use it?
It helps organize complex research into a clear story that an audience can follow. It also addresses common problems such as crowded slides and weak visual explanations.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/generate_slide_image.py "Title slide for presentation: 'Machine Learning: From Theory to Practice'. Subtitle: 'AI Conference 2025'. Speaker: K-De.

Good fit Use it to build conference presentations, research talks, seminar decks, thesis defense slides, and other scientific presentations.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/AndyZhuang/Opentest
agentmods
npx agentmods add skills/andyzhuang/opentest/scientific-slides

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/andyzhuang/opentest/scientific-slides/github.svg)](https://agentmods.dev/skills/andyzhuang/opentest/scientific-slides)
Your own site
<a href="https://agentmods.dev/skills/andyzhuang/opentest/scientific-slides"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/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/andyzhuang/opentest/scientific-slides"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/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 11,051 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 $0.11051
Opus 5.5 $0.00026 $0.04420
Sonnet 5.5 $0.00013 $0.02210
Haiku 4.5 $0.00006 $0.01105

Measured 1mo ago against content hash 3f1b1fd3c18d, 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.

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 — 4 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.

skills/labclaw/general/scientific-slides/SKILL.md · 1,156 lines

How it starts

The opening of the file, as written. The whole thing — 1,156 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 · 1,156 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 · 1,156 lines · 65 tokens per session scan A 3f1b1fd3c18d

Subscribe to this mod's changes

scientific-slides is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 7mo ago), licensed MIT. It adds 65 tokens to every session and 11,051 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 4 lines, and is treated as a copy.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

exploratory-data-analysis

Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

phylogenetics

Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…

K-Dense-AI/scientific-agent-skills · 71 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

presenting-conference-talks

Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.

Orchestra-Research/AI-Research-SKILLs · 53 tokens