Explore our collection of Agent Skills to enhance your AI workflow.
Enforces a single-source-of-truth workflow for editing and synchronizing KINTSUGI notebook modules across project folders.
Secures software supply chains by identifying vulnerabilities, implementing automated scanning, and enforcing dependency management best practices.
Deploys production-grade AI agents to Amazon Bedrock AgentCore using multiple flexible infrastructure and CI/CD patterns.
Upgrades legacy React applications by automating class-to-hooks conversion, implementing concurrent features, and applying modern performance optimizations.
Visualizes schedules and coordinates meeting times through interactive calendar overlays and multi-calendar views.
Streamlines scientific development on HPC environments using multi-root workspaces and automated test data extraction.
Architects high-performance PostgreSQL schemas using industry-standard best practices for data integrity and scalability.
Implements industry-standard NFT protocols including ERC-721 and ERC-1155 with advanced features like royalties and gas-optimized minting.
Analyzes protein and molecular structures through AlphaFold interpretation, quality validation metrics, and comparative structural techniques.
Resolves package name conflicts between local editable installations and existing PyPI projects.
Identifies and removes duplicate or visually similar images in FiftyOne datasets using deep learning embeddings.
Parses microscopy channel and marker names from KINTSUGI metadata files using automatic format detection.
Synchronizes software specifications and design documentation with source code using Living Documentation principles.
Discovers, installs, and manages specialized agent skills from the open-source ecosystem to extend Claude's capabilities.
Opens files and navigates to specific line numbers in your active Neovim editor directly from Claude.
Optimizes AI performance by automatically compressing context during task breaks to prevent workflow interruptions.
Validates orchestration workflows and provides quality analysis to ensure Skill and Subagent patterns are followed correctly.
Audits infrastructure-as-code and application configurations to proactively identify and remediate security vulnerabilities.
Organizes Claude Code skills into a shared Git submodule to enable cross-project reuse and domain-specific isolation.
Deploys and manages Databricks resources as versioned, environment-aware bundles using Infrastructure as Code principles.
Streamlines the creation and maintenance of custom Claude Code skills through interactive scaffolding and official specification validation.
Provides comprehensive development guidelines, architectural patterns, and structural references for building Claude Code plugins.
Defines and implements Service Level Indicators (SLIs) and Objectives (SLOs) to establish measurable reliability targets and error budgets.
Resolves CuPy runtime compilation errors on Windows by correctly configuring CUDA NVRTC paths.
Organizes scientific research repositories by decoupling core code from experimental data and notebook outputs.
Configures and manages multiple Conda environment locations across different research group storage allocations on the UF HiPerGator supercomputer.
Analyzes and describes recent macOS screenshots to help resolve visual issues or explain on-screen content within Claude Code.
Configures Prometheus for comprehensive metric collection, alerting, and infrastructure monitoring across diverse environments.
Automates the deployment and configuration of centralized logging infrastructure using ELK, Loki, or Splunk.
Analyzes codebases thoroughly by searching files and synthesizing evidence-based summaries of specific topics.
Scroll for more results...