Explore our collection of Agent Skills to enhance your AI workflow.
Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic wrapper for RDKit.
Automates the entire GitHub release lifecycle using AI swarms for coordinated versioning, multi-platform deployment, and intelligent rollback management.
Integrates the open-source embedding database to build AI-native applications with semantic search and retrieval-augmented generation (RAG) capabilities.
Guides users through the ancient three-world shamanic technology of Siberian traditions for deep consciousness navigation and soul integration.
Builds robust Retrieval-Augmented Generation systems using vector databases and semantic search to ground LLM responses in proprietary data.
Guides the systematic migration of legacy AngularJS applications to modern Angular using hybrid strategies and component-based refactoring.
Builds sophisticated financial models including DCF analysis, Monte Carlo simulations, and scenario planning for professional investment decision-making.
Detects and reports available system hardware resources to provide strategic recommendations for computationally intensive tasks.
Master systematic debugging techniques and root cause analysis to efficiently identify and resolve software bugs across any technology stack.
Queries the Ensembl REST API to retrieve gene annotations, sequences, variants, and comparative genomics data for over 250 species.
Performs deep technical research by discovering real-world code implementations, API patterns, and the latest documentation using GitHub and Exa.
Provides specialized tools for biological computation, sequence analysis, and programmatic access to NCBI databases using Biopython.
Applies machine learning to chemistry, materials science, and biology for drug discovery and molecular property prediction.
Streamlines product development by generating PRDs, prioritizing features, and synthesizing research directly within your codebase environment.
Implement production-ready decentralized finance protocols including staking, AMMs, and governance systems.
Enhances content analysis and security modeling by intelligently selecting from over 240 specialized Fabric CLI patterns.
Provides unified access to 20+ genomic databases for sequence analysis, protein structure prediction, and rapid bioinformatics queries.
Implements formal contract verification using preconditions, postconditions, and invariants to ensure code correctness across multiple programming languages.
Analyzes meeting transcripts to identify communication patterns, leadership styles, and actionable behavioral feedback.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Facilitates comprehensive testing for ActivityPub features using standardized PHPUnit patterns and Playwright end-to-end frameworks.
Creates sophisticated, multi-component React artifacts for Claude.ai using modern frontend technologies like shadcn/ui and Tailwind CSS.
Simplifies molecular cheminformatics and drug discovery workflows with a Pythonic abstraction layer over RDKit.
Analyzes proteomics and metabolomics data using the OpenMS library for comprehensive mass spectrometry workflows.
Synchronizes project documentation with real-world code implementations and API changes to ensure accuracy.
Orchestrates comprehensive GitHub release workflows using AI swarms for automated versioning, testing, and multi-platform deployment.
Integrates eternal Vedic principles and non-dual wisdom to provide philosophical depth and spiritual guidance within Claude.
Parses and writes Flow Cytometry Standard (FCS) files, enabling seamless conversion of biological data into NumPy arrays and dataframes for scientific analysis.
Architects and optimizes high-performance data layers using PostgreSQL, MongoDB, and Redis for modern, scalable applications.
Implements a four-tier progressive escalation strategy to reliably scrape web content and bypass advanced bot detection.
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