Explore our collection of Agent Skills to enhance your AI workflow.
Transforms FastAPI and Python code into maintainable, high-performance APIs following Pydantic v2 and SOLID principles.
Provides expert guidance for writing Python scripts within n8n Code nodes, focusing on data access and environment limitations.
Refactors PyTorch code to improve maintainability, performance, and adherence to PyTorch 2.x best practices.
Diagnoses and resolves complex Terraform issues including state locks, provider authentication, and resource drift using a systematic four-phase approach.
Refactors Pandas code to improve performance, readability, and memory efficiency using modern best practices and 2.0+ features.
Systematically diagnoses and resolves Kubernetes cluster issues including pod failures, connectivity problems, and resource constraints using a structured four-phase methodology.
Provides architectural blueprints and proven patterns for building robust, scalable automation workflows in n8n.
Automates the pull request review process by conducting code analysis, performing QA testing, and resolving AI-generated feedback.
Manages advanced PDF operations locally using a Docker-hosted Stirling-PDF instance for merging, splitting, and converting files.
Creates milestones in Linear projects and automatically generates issues from local development plans.
Orchestrates the simultaneous and sequential execution of multiple project plans with automated dependency resolution.
Automates the creation of Linear issues directly from local project plan files.
Synchronizes implementation plans with technical specifications to ensure project alignment and up-to-date milestones.
Integrates Claude with external REST APIs to manage authentication, execute requests, and process data responses.
Breaks down large code changes into logical, atomic commits by staging specific hunks autonomously.
Automates the creation of isolated Git worktrees immediately after a development plan is approved.
Extracts personal facts and professional context from AI chat transcripts to build structured, personalized knowledge profiles.
Validates Slack API credentials and configuration settings to ensure seamless communication between Claude and Slack workspaces.
Streamlines the creation, development, testing, and publishing of Raycast extensions using TypeScript and React.
Builds reliable, event-driven background jobs and durable serverless workflows without the complexity of managing queues or workers.
Automates the creation of Linear projects and issues directly from local implementation plans and specifications.
Automates code styling and linting fixes using Prettier and ESLint to maintain clean, production-ready codebases.
Standardizes and accelerates the development of specialized Claude Code skills through guided templates and structural best practices.
Monitors the health and operational status of LlamaFarm machine learning services, models, and data buffers.
Automates WebWorks ePublisher documentation builds and publishing workflows using the AutoMap command-line interface.
Manages WebWorks ePublisher project structures, targets, and source document groups for automated documentation workflows.
Evaluates the linguistic and pragmatic depth of Japanese vocabulary cards to identify necessary learning extensions.
Orchestrates the initialization and health monitoring of LlamaFarm backend services, RAG workers, and ML runtimes.
Translates informal user stories and requirements into precise, testable EARS format for clear and unambiguous system specifications.
Enables seamless inter-agent communication and coordination within tmux sessions using a persistent file-based messaging system.
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