The Ultimate Agent Skills Collection

Generate creative domain name ideas for your new projects.

Extract and analyze ads from competitors for marketing insights.

Generate minimalist icons and graphics using AI image generation models.

Design modern and interactive user interfaces using web technologies.

Create balanced and minimalist posters and graphic designs.

Apply official brand visual styles and identities.

Creative tools for generative art and algorithmic designs.

Create customized resumes based on job descriptions and user experience.

Select raffle winners randomly and fairly from a list of participants.

Analyze meeting minutes and extract key points and decisions made.

Identify potential customers and collect contact information and key data.

Extract data from invoices and organize them into orderly records.

Automatically classify and organize files based on their type and content.

Conduct in-depth research on topics and write high-quality content drafts.

Convert Markdown files into professional EPUB e-books with a table of contents.

Search emails for invoices and mark them as 'Important'.

Check schedules and appointments and find available time slots.

Search Drive files and organize them into specific folders.

Read presentations, extract slide titles, and check speaker notes.

Read spreadsheets and extract budget data to generate summaries.

Create new documents and outline code migrations or project proposals.

Manage Google Chat spaces and send project update messages.

Search Wiki documents and summarize core steps in deployment guides.

Conduct in-depth research on market competitors and future technology trends.

Create complex financial models using Excel formulas instead of hard-coding.

Transform notes into 5-stage practical action plans focused on implementation.

Extract pure text from web pages, filtering out ads and distracting elements.

Process URLs and extract content to create structured action plans.

Analyze CSV files and automatically generate statistical summaries and visual charts.

Analyze visual styles and create professional presentations with image previews.

Extract data from multiple PDFs and convert them into spreadsheets.

Write professional work summaries and reports using structured templates.

Precise editing of Word documents with change tracking at the XML level.

Guide for writing complex technical and structural documents.

Create web-based presentations with multi-column layouts and charts.

Query databases and perform statistical summarization of active data.

Deploy frontend projects to IPFS and obtain instant preview links.

Design test cases using pairwise testing principles to generate minimal test sets.

Showcase and apply custom visual themes for HTML pages and documents.

Write and execute automated test scenarios using Playwright to verify functionality.

Build complete React dashboards with advanced UI components and charts.

Plan and create new AI skills with custom workflows and code examples.

Plan and build MCP servers and tool templates to connect databases.

Download and clean subtitles from YouTube videos for readability.

Download video files from various web links.

Improve image quality and clarity using AI technologies.

Create custom GIF animations with easing effects and compression.

Improve writing quality, style, and clarity using advanced agent techniques.

Formulate detailed and structured action plans to achieve complex project goals.

Perform a final and thorough check of the results before marking the task as 'complete'.

Activate and utilize advanced agent capabilities to solve complex problems.

Manage multiple branches simultaneously using Git's worktrees feature.

Write tests before the actual code to ensure functionality and quality.

Use a systematic approach to identify and correct complex code errors.

Delegate complex programming and research tasks to specialized AI sub-agents.

Prepare and submit code for review by peers to ensure quality.

Process comments and feedback from code reviewers and apply improvements.

Close development branch, merge changes, and clean up workspace.

Follow and execute pre-defined action steps with precision and professionalism.

Distribute complex tasks across multiple AI agents working simultaneously.

Generate creative ideas and expand thinking horizons with AI agents.

Curated database of commercial compounds for virtual screening.

Python implementation of chunked, compressed, N-dimensional arrays for scientific data.

Access to the United States Patent and Trademark Office database.

Comprehensive, high-quality, and free resource for protein sequences and functional information.

Deep learning library for graphs built on PyTorch for structured and unstructured data.

Example skill providing templates for building new skills.

Database of known and predicted protein-protein interactions.

Comprehensive tools for discovering and sharing scientific skills.

Open-source, curated database of human biological pathways.

36M+ citations for biomedical literature from MEDLINE and life science journals.

The world's largest repository of open chemical information.

Tools for accessing and sharing scientific protocols from the Protocols.io platform.

Worldwide repository for experimental data on 3D structures of biological macromolecules.

Platform for drug target identification using genomic and clinical data.

An open and comprehensive index of scholarly papers, authors, and institutions.

Comprehensive tools for processing dense web data and scientific information.

Numerical computing environment and language for scientific computing.

Comprehensive tools for fetching data from LangSmith for LLM optimization.

Integration with electronic lab notebooks for research data management.

Unified access to genomic information and functional annotations from multiple sources.

Python framework for phylogenetic tree analysis and visualization.

Protein language models for sequence analysis and structure prediction.

Automated documentation and indexing of agent skills for scientific projects.

Analysis of developer activity and ecosystem growth within scientific software.

Programmatic access to the DataCommons knowledge graph for public data analysis.

Integration of applications within the lab data ecosystem for workflow optimization.

Comprehensive tools and resources for laboratory data connectivity and integration.

Python library for designing and optimizing quantum circuits on NISQ processors.

Automatically generate professional changelogs for scientific projects.

Comprehensive tools and resources for accessing BioRxiv preprints.

Comprehensive statistical testing, power analysis, and experimental design.

Comprehensive toolkit for writing and structuring scientific research papers.

Best practices and templates for creating publication-quality scientific figures.

Tools and approaches for rigorous scientific reasoning and evaluation.

Conversational partner for generating novel research ideas and creative approaches.

Comprehensive toolkit for conducting high-quality scientific peer reviews.

Systematic literature search and review toolkit with support for multiple databases.

Structured frameworks for generating and evaluating scientific hypotheses.

Comprehensive EDA toolkit with automated statistics and visualizations for any tabular dataset.

Toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems.

Apply the ScholarEval framework to systematically evaluate scholarly and research work.

Look up current research information using Perplexity Sonar Pro models.

Write competitive research proposals for organizations like NSF, NIH, DOE, and DARPA.

Detect available computational resources and generate recommendations for scientific tasks.

Hardware-agnostic, pure Python SDK for automated and autonomous laboratories.

Python utility for converting 20+ file formats to Markdown optimized for LLM processing.

Access comprehensive LaTeX templates and submission guidelines for major journals and conferences.

Build slide decks and presentations for research talks using PowerPoint and LaTeX Beamer.

Create publication-quality scientific diagrams with smart iterative refinement.

Create professional research posters using PowerPoint/HTML formats.

AI-powered web search using Perplexity models for real-time answers with citations.

Transform academic papers into multiple promotional formats and websites.

Generate comprehensive market research reports in the style of top consulting firms.

Create professional research posters in LaTeX using advanced templates.

AI-powered image generation and editing for scientific illustrations and schematics.

Comprehensive citation management for academic research.

Automated hypothesis generation and testing using large language models to accelerate scientific discovery.

Multiagent AI system for scientific research assistance that automates complete research workflows.

Autonomous biomedical AI agent framework for executing complex research tasks.

Python library for bioinformatics providing data structures and algorithms for biological analysis.

Python library for reading and manipulating Flow Cytometry Standard (FCS) files.

Comprehensive suite of tools for exploring and visualizing next-generation sequencing (NGS) data.

High-performance Python library for processing and visualizing massive tabular datasets.

Symbolic mathematics in Python for exact computation using mathematical symbols.

Discrete-event simulation framework for modeling systems, processes, and queues.

Statistical data visualization with dataset-oriented interface and high-quality themes.

Interactive scientific and statistical data visualization library with 40+ chart types.

High-performance DataFrame library written in Rust for fast data manipulation.

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs.

Comprehensive Python plotting library for static, animated, and interactive visualizations.

Python library extending pandas for working with geospatial vector data.

Parallel computing for larger-than-memory datasets with distributed DataFrames and Arrays.

Python framework for high-performance computational fluid dynamics (CFD) simulations.

Python Materials Genomics (pymatgen) library for materials science computation and analysis.

Python package for constraint-based reconstruction and analysis (COBRA) of metabolic networks.

Comprehensive Python library for astronomy and astrophysics for research and data analysis.

Python implementation of UMAP for dimensionality reduction and manifold learning.

State-of-the-art machine learning models for NLP, computer vision, and multimodal tasks.

Statistical modeling and econometrics (OLS, GLM, ARIMA, hypothesis testing).

PyTorch-based reinforcement learning library providing reliable implementations of RL algorithms.

Model interpretability and explainability using Shapley values from game theory.

Survival analysis and time-to-event modeling with censored data.

Industry-standard Python library for classical machine learning providing comprehensive tools.

Python toolbox for simulating and analyzing quantum mechanical systems.

Open-source quantum computing framework for building and optimizing quantum circuits.

Python library for quantum computing, quantum machine learning, and quantum chemistry.

Deep learning framework that organizes PyTorch code to eliminate boilerplate.

Python framework for multi-objective optimization using evolutionary algorithms.

Comprehensive Python library for Bayesian statistical modeling and probabilistic programming.

High-performance reinforcement learning library with optimized model training.

Python toolkit for time series machine learning, compatible with scikit-learn.

Cloud laboratory platform for automated protein testing and validation.

Comprehensive toolkit for analyzing Neuropixels high-density neural recordings.

Generate focused medical treatment plans in LaTeX/PDF format for clinical specialties.

Write comprehensive clinical reports following established guidelines and standards.

Generate professional clinical decision support documents for pharmaceutical research.

Healthcare AI toolkit for developing and testing ML models with clinical data.

Comprehensive biosignal processing toolkit for ECG, EEG, EDA, and more using Python.

Pure Python package for working with DICOM (Digital Imaging and Communications in Medicine) files.

Comprehensive computational pathology toolkit for image analysis and tissue segmentation.

Digital pathology toolkit for whole slide image (WSI) processing and analysis.

Comprehensive mass spectrometry data analysis for proteomics and metabolomics.

Processing and similarity matching of mass spectrometry data with multiple file formats support.

PyTorch-based machine learning platform for drug discovery with GNN models for property prediction.

Cloud-based quantum chemistry platform with Python API for computational chemistry workflows.

Open-source cheminformatics toolkit for molecular informatics and drug discovery.

Python library providing access to Therapeutics Data Commons (TDC) datasets and benchmarks for drug discovery.

Python library providing 100+ molecular featurizers for converting molecules into numerical representations for ML.

Python library for medicinal chemistry analysis and drug-likeness assessment.

State-of-the-art diffusion-based molecular docking method for predicting binding poses.

Deep learning framework for molecular machine learning and drug discovery.

Python library for molecular manipulation built on RDKit with enhanced performance.

Serverless cloud platform for running Python code, specialized for AI/ML workloads.

Open-source data framework for biology that makes data queryable, traceable, and FAIR.

Probabilistic deep learning models for single-cell omics analysis.

Comprehensive Python toolkit for single-cell RNA-seq data analysis built on AnnData.

Python implementation of the DESeq2 method for differential gene expression analysis.

Read, write, and manipulate genomic data files (SAM/BAM/VCF) using Python.

High-performance Rust toolkit for genomic interval analysis and fragment processing.

Genomic interval machine learning toolkit providing methods for building ML models on BED files.

Command-line tool and Python package for efficient querying of genomic databases.

Python package for querying and analyzing large-scale single-cell RNA-seq data.

Python library providing unified programmatic access to 40+ biological web services.

Comprehensive Python library for computational biology and bioinformatics.

Python package for efficient gene regulatory network (GRN) inference from single-cell RNA-seq data.

Python package for handling annotated data matrices for single-cell genomics data.

Toolkit for interacting with OMERO microscopy data management systems using Python.

Integration with the Latch platform for building and executing bioinformatics workflows.

Toolkit for creating and debugging lab automation protocols using Opentrons robots.

Toolkit for working with the DNAnexus cloud for biomedical data analysis.

Toolkit for programmatic access to DNA sequences, samples, and lab notebooks.

Metabolomics data repository with processed studies and metabolite structures.

Database integrating genomic, chemical, and systemic functional information.

Comprehensive database of human metabolites with chemical and biological data.

Catalog of published genome-wide association studies with SNP-trait associations.

Public repository for high-throughput gene expression and functional genomics data.

Access regulatory data on drugs, medical devices, and food through openFDA.

Database providing genomic annotations and sequences for 250+ vertebrate species.

Comprehensive public repository for nucleotide sequence data and metadata.

Comprehensive bioinformatics database containing detailed drug and drug target information.

The world's largest database of somatic cancer mutations.

Comprehensive registry of clinical studies conducted worldwide.

NCBI's public archive of genomic variants and their clinical significance.

Clinical pharmacogenomics database providing gene-drug interactions and guidelines.

A manually curated database of bioactive molecules with drug-like properties.

The world's most comprehensive enzyme information system from scientific literature.

Access 200M+ high-confidence protein structure predictions from DeepMind.