Explore our collection of Agent Skills to enhance your AI workflow.
Consults PostgreSQL's internal parser and grammar rules to ensure precise SQL syntax implementation and DDL generation.
Generates specialized sub-agents for Claude Code to handle isolated tasks like codebase exploration, verification, and implementation.
Develops headless, reactive logic and portable state patterns for TypeScript applications using the Rimitive framework.
Facilitates advanced collaborative coding between humans and AI through intelligent role switching, real-time quality monitoring, and integrated testing workflows.
Accesses the NIH Metabolomics Workbench database to query metabolite structures, experimental study data, and standardized nomenclature.
Constructs composable, reactive frontend components using a functional TypeScript DSL for high-performance UIs.
Generates interactive statistical and scientific visualizations using Plotly Express and Graph Objects APIs.
Streamlines single-cell transcriptomics workflows using standardized scverse, AnnData, and Scanpy implementation patterns.
Implements reactive data synchronization and live updates using Convex's automatic query subscriptions.
Consults the official PostgreSQL pg_dump implementation to provide canonical guidance on system catalog queries and schema extraction.
Generates structured implementation roadmaps and technical documentation with context-safe phases for web projects.
Analyzes system hardware to provide strategic recommendations for high-performance computing and scientific tasks.
Converts existing Snakemake analysis projects into pip-installable CLI tools for automated workflow deployment.
Upgrades React codebases to modern standards by migrating class components to hooks and implementing React 18+ concurrent features.
Implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to measure and manage service reliability using SRE best practices.
Optimizes and automates Claude Code workflows through intelligent pre- and post-operation hooks, session persistence, and neural pattern learning.
Transforms school scripts and PDFs into structured study materials including summaries, learning objectives, and practice questions.
Implements a defensive epistemology framework for AI coding agents to minimize errors through explicit prediction and reality verification.
Streamlines single-cell RNA-seq analysis using standardized AnnData and Scanpy workflows.
Builds and manages robust automated billing systems for recurring payments, subscription lifecycles, and complex invoicing logic.
Drafts high-quality, actionable GitHub issues for the Positron IDE by automating duplicate searches and context gathering.
Consults PostgreSQL's pg_dump source code to provide authoritative guidance on system catalog queries and schema extraction patterns.
Implements ultra-fast semantic vector search and RAG capabilities using AgentDB's high-performance indexing and quantization.
Automates development workflows by coordinating Claude Code operations through intelligent pre- and post-task hooks and neural pattern learning.
Generates high-performance interactive visualizations using Plotly Express and Graph Objects patterns.
Streamlines the creation of technical documents in R Markdown using bookdown for advanced cross-referencing of figures, tables, and equations.
Automates development workflows and agent coordination through intelligent pre/post-operation hooks and neural pattern learning.
Builds robust, automated billing systems for recurring subscriptions, invoice management, and payment recovery.
Automates tasks and builds robust command-line tools using professional Bash and Zsh scripting best practices.
Facilitates seamless Python-based interaction with the B-Fabric Laboratory Information Management System for managing research data and workflows.
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