Explore our collection of Agent Skills to enhance your AI workflow.
Manages the systematic execution of multi-step development plans by tracking sub-goals, atomic steps, and progress logs.
Configures and manages Grafana alerts for Claude Code to monitor session anomalies, error rates, and resource utilization.
Configures and enables OpenTelemetry logging, metrics, and tracing for Claude Code to monitor session performance and costs.
Integrates persistent episodic and short-term memory into Amazon Bedrock agents to maintain user context and learn from interactions across sessions.
Orchestrates the complete software development lifecycle from research and planning to implementation and multi-layer verification.
Consults external AI models using the structured Prompt150 formula to resolve complex queries when internal project data is exhausted.
Accelerates reinforcement learning workflows with high-performance environment vectorization and optimized PPO training.
Generates structured, TDD-focused prompts for Claude to execute single development tasks with automatic verification.
Implements standardized web accessibility practices to ensure inclusive and compliant user interfaces.
Simplifies gene data retrieval and annotation by querying the NCBI Gene database via E-utilities and Datasets APIs.
Performs comprehensive single-cell RNA-seq analysis workflows including quality control, clustering, and visualization.
Deploys a comprehensive LGTM observability stack to Railway cloud for centralized monitoring and team access.
Implement deep generative models for single-cell omics analysis, enabling batch correction, multimodal integration, and probabilistic differential expression.
Generates professional research posters using HTML and CSS for seamless export to PowerPoint and PDF formats.
Automates Gemini CLI tool execution for file management, web research, and shell operations within Claude Code workflows.
Automates electronic lab notebook workflows including data uploads, notebook backups, and programmatic entry management via the LabArchives REST API.
Protects AI applications against prompt injection attacks by managing security patterns and automating regression testing.
Provides comprehensive expertise and implementation patterns for the entire Anthropic ecosystem, including Claude models, APIs, SDKs, and the Model Context Protocol.
Integrates real-time financial market data including stock quotes, forex rates, crypto prices, and company fundamentals via the FinnHub API.
Ensures deterministic results in Python research code by centralizing configurations, controlling randomness, and recording run metadata.
Automates the detection, retrieval, and integration of the latest Anthropic documentation to keep AI development skills current.
Conducts comprehensive, systematic quality assessments and production-readiness reviews for Claude Code skills across five key dimensions.
Standardizes Python code formatting, linting, and type checking to enhance long-term project maintainability.
Optimizes Amazon EKS clusters with intelligent, high-performance node autoscaling using Karpenter for significant cost reduction and faster provisioning.
Automates browser-based end-to-end testing to verify that feature implementations meet specific acceptance criteria.
Orchestrates multi-step generative AI workflows using Amazon Bedrock's visual flow builder and specialized logic nodes.
Analyzes feature scope and project architecture to generate effort estimates, cost projections, and optimized development pipelines.
Automates and manages Gemini CLI built-in tools for seamless file operations, web research, and secure shell execution.
Implement a multi-layered persistent memory architecture for AI agents to enable cross-session learning and long-term context retention.
Enforces repository execution discipline through small PRs, automated migration testing, and structured AI agent handoff protocols.
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