adaptyv
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user…
OpenRouter API key for the skill's LLM-powered steps.
$ npx -y skills add K-Dense-AI/scientific-agent-skills --skill scientific-slides --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/scientific-slidesContext preview
The summary Claude sees to decide when to auto-load this skill.
OpenRouter API key for the skill's LLM-powered steps.
name: scientific-slides
description: Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.
allowed-tools: Read Write Edit Bash
license: MIT license
metadata:
version: "1.8"
skill-author: K-Dense Inc.
openclaw:
primaryEnv: OPENROUTER_API_KEY
envVars:
- name: OPENROUTER_API_KEY
required: false
description: OpenRouter API key for the skill's LLM-powered steps.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:
**Remember**: Boring presentations = forgotten science. Make your slides visually memorable while maintaining scientific rigor through proper citations.
This skill should be used when:
**This skill uses Nano Banana Pro AI to generate stunning presentation slides automatically.**
There are two workflows depending on output format:
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
**Step 1: Plan Each Slide**
Before generating, create a detailed plan for your presentation:
# Presentation Plan: Introduction to Machine Learning ## Slide 1: Title Slide - Title: "Machine Learning: From Theory to Practice" - Subtitle: "AI Conference 2025" - Speaker: Dr. Jane Smith, University of XYZ - Visual: Modern abstract neural network background ## Slide 2: Introduction - Title: "Why Machine Learning Matters" - Key points: Industry adoption, breakthrough applications, future potential - Visual: Icons showing different ML applications (healthcare, finance, robotics) ## Slide 3: Core Concepts - Title: "The Three Types of Learning" - Content: Supervised, Unsupervised, Reinforcement - Visual: Three-part diagram showing each type with examples ... (continue for all slides)
**Step 2: Generate Each Slide**
Use the `generate_slide_image.py` script to create each slide.
**CRITICAL: Formatting Consistency Protocol**
To ensure unified formatting across all slides in a presentation:
1. **Define a Formatting Goal** at the start of your presentation and include it in EVERY prompt:
2. **Always attach the previous slide** when generating subsequent slides using `--attach`:
3. **Default author is "K-Dense"** unless another name is specified
4. **Include citations directly in the prompt** for slides that reference research:
5. **Attach existing figures/data for results slides** (CRITICAL for data-driven presentations):
🔔 Claude Scientific Skills is now Scientific Agent Skills. Same skills, broader compatibility — now works with any AI agent that supports the open Agent Skills standard, not just Claude.
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user…
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection,…
Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP…
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data…
Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree…
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk…