Explore our collection of Agent Skills to enhance your AI workflow.
Automates the creation, organization, and management of production-ready Helm charts for scalable Kubernetes application packaging.
Implements Command Query Responsibility Segregation to build scalable, high-performance backend architectures with separate read and write models.
Automates cloud infrastructure provisioning and management using Terraform, Kubernetes, and modern DevOps practices.
Implements ISO 14971-compliant risk management processes for medical devices, covering hazard identification, risk evaluation, and post-production monitoring.
Facilitates structured, disciplined design reasoning to transform vague ideas into validated technical specifications before coding begins.
Extracts and analyzes competitor advertisements from major ad libraries to provide strategic insights into messaging and creative trends.
Streamlines graph database development by implementing Spring Data Neo4j patterns for node entities, relationships, and Cypher queries.
Builds and manages production-grade Grafana dashboards for real-time observability of infrastructure and applications.
Enforces strict Red-Green-Refactor cycles to ensure all production code is preceded by failing tests.
Implements a disciplined, four-phase debugging methodology to identify root causes and ensure robust, verified technical fixes.
Provides a comprehensive framework for identifying, deobfuscating, and analyzing protected JavaScript code and malware samples.
Implements advanced document chunking strategies to optimize retrieval-augmented generation (RAG) performance and embedding accuracy.
Automatically updates terminal window titles to reflect active high-level tasks for better multi-terminal organization.
Standardizes software documentation using a specialized five-tier system for plans, issues, specs, skills, and user guides.
Manages Homebrew taps for automated distribution of CLI tools and macOS applications.
Automates liquid handling and laboratory workflows using the Opentrons Python Protocol API v2 for Flex and OT-2 robots.
Provisions a pre-configured Ubuntu 24.04 EC2 environment optimized for Claude Code with Playwright, task tracking, and session management.
Automates UI verification by capturing screenshots, checking browser console logs, and identifying visual regressions using Tabz MCP tools.
Builds high-quality Model Context Protocol (MCP) servers to enable LLMs to interact with external services and APIs through well-designed tools.
Generates regulatory-compliant clinical reports, diagnostic summaries, and case studies with integrated scientific schematics.
Detects and analyzes system hardware to provide optimized strategic recommendations for scientific computing and data processing tasks.
Optimizes React and Next.js applications using Vercel's authoritative performance guidelines and engineering patterns.
Streamlines the creation of competitive research proposals for NSF, NIH, DOE, and DARPA with agency-specific formatting and integrated scientific schematics.
Queries the PubChem database to retrieve chemical structures, molecular properties, and bioactivity data for cheminformatics workflows.
Facilitates precise, line-based code movement and extraction across files to streamline codebase reorganization.
Transforms passive learning content into actionable implementation plans using the Ship-Learn-Next iterative framework.
Empowers researchers to generate novel hypotheses, explore interdisciplinary connections, and overcome creative blocks through collaborative ideation.
Simplifies unit testing for Spring @Async and @Scheduled tasks using JUnit 5, Mockito, and Awaitility.
Implements ISO 27001 frameworks and cybersecurity risk assessments specifically tailored for HealthTech and MedTech organizations.
Extracts content from YouTube, articles, or PDFs and automatically generates structured action plans to help you implement what you learn.
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