Explore our collection of Agent Skills to enhance your AI workflow.
Automates iOS code reviews and GitLab merge request management with intelligent review and update modes.
Accesses and analyzes NCBI Gene Expression Omnibus (GEO) datasets for transcriptomics and genomics research.
Optimizes cloud infrastructure spending across AWS, Azure, and GCP through resource rightsizing, tagging strategies, and reserved capacity planning.
Synchronizes technical documentation and JSDoc with actual code behavior to ensure accuracy in complex calculation modules.
Automates the end-to-end GitHub Pull Request workflow including branch management, linting, and Conventional Commits.
Generates complete iOS list screens following the RxSwift MVVM Input/Output architecture pattern with built-in pagination and unit tests.
Automates complex multi-step tasks and CI/CD pipelines using DAG-based execution and MCP integration.
Automates end-to-end build validation, CI/CD pipeline orchestration, and multi-strategy deployment workflows.
Accesses and integrates data from over 40 major bioinformatics web services and databases using a unified Python API.
Accesses and integrates over 40 bioinformatics web services and databases including UniProt, KEGG, and ChEMBL through a unified Python interface.
Generates and modifies high-quality images and scientific illustrations using advanced AI models like FLUX and Gemini via OpenRouter.
Orchestrate multi-step AI workflows by chaining agent outputs for complex data transformations and sequential processing.
Ensures codebase reliability and agent output quality through automated truth scoring, multi-dimensional verification checks, and instant rollbacks.
Manages Model Context Protocol (MCP) servers to discover, analyze, and execute external tools and resources with high context efficiency.
Streamlines the creation and management of custom Claude Code skills using Anthropic best practices and advanced trigger systems.
Implements a systematic 5-phase development framework with multi-agent orchestration to accelerate software delivery and ensure high code quality.
Automates the deployment of Wasp applications to Railway and Fly.io using the Wasp CLI.
Orchestrates Model Context Protocol (MCP) servers to discover and execute tools while maintaining optimal context window efficiency.
Writes Ruby and Rails code following the 37signals philosophy of REST purity, fat models, and developer happiness.
Automates the testing and validation of authenticated API routes using cookie-based JWT authentication and Keycloak integration.
Manages GitHub projects and issues using AI swarm coordination for automated triage, board synchronization, and task decomposition.
Conducts detailed Clojure and ClojureScript code reviews based on Metabase standards and functional programming best practices.
Capture and categorize solved technical problems into structured markdown documentation with YAML metadata for fast lookup.
Configures Wasp framework features including authentication, databases, styling, and branding through an interactive guided process.
Facilitates comprehensive smart contract testing using Hardhat and Foundry frameworks to ensure security, efficiency, and reliability in blockchain protocols.
Manages Bitcoin Attestation Protocol (BAP) identities and encrypted backups using specialized command-line tools.
Validates Solidity smart contracts through comprehensive Hardhat and Foundry test suites, including mainnet forking and fuzzing.
Orchestrates complex multi-agent workflows using advanced topologies and specialized strategies for research and development.
Orchestrates multi-agent AI swarms for parallel task execution and dynamic workflow management using agentic-flow.
Provides a standardized framework and step-by-step guidance for building, validating, and packaging custom Claude Code Skills.
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