Explore our collection of Agent Skills to enhance your AI workflow.
Optimizes Go application container images using static compilation, minimal base images, and binary stripping to achieve a minimal footprint and maximum security.
Configures granular security permissions, shell operator protections, and project-level access controls for Claude Code.
Analyzes binary files and firmware to extract strings, identify file signatures, and explore raw data using industry-standard tools.
Integrates the Ruff Python linter and formatter into development environments, pre-commit hooks, and CI/CD pipelines.
Enforces high-quality Rust code standards through advanced Clippy configurations, custom lint rules, and automated CI workflows.
Manages Kubernetes clusters and workloads using expert kubectl patterns and declarative manifest workflows.
Streamlines the process of building, versioning, and publishing Python packages using the UV build system and modern standards.
Implements structured inline comments for asynchronous coordination and work tracking between multiple AI agents.
Standardizes codebases with high-performance formatting, linting, and import organization for modern web languages.
Implements a systematic approach to diagnosing and resolving complex software bugs using advanced system tracing and memory analysis tools.
Automates ArgoCD CLI authentication using SSO and provides commands for managing Kubernetes application lifecycles and cluster resources.
Streamlines project workflows by providing expert guidance on Just command runner syntax, recipe development, and cross-platform task automation.
Standardizes git commit messages and staging practices using the Conventional Commits specification and explicit file staging.
Implements vendor-agnostic feature flags and progressive rollouts using the OpenFeature standard across multiple programming languages.
Configures and manages Basedpyright for high-performance, strict static type validation in Python projects.
Optimizes Claude Code slash commands by implementing safe context expressions and robust bash execution patterns.
Identifies and prunes unused Python functions, classes, and variables to maintain clean and efficient codebases.
Safeguards automated release workflows by preventing manual edits to version files and changelogs.
Streamlines unit and integration testing for JavaScript and TypeScript projects using the high-performance Vitest runner.
Optimizes Python Docker images using slim base images, multi-stage builds, and modern package managers like uv and poetry.
Identifies and removes unused Rust dependencies to streamline Cargo.toml files and accelerate build times.
Accelerates modern systems programming with Rust by providing expert guidance on memory safety, ownership patterns, and high-performance async architectures.
Monitors and analyzes Terraform Cloud run progress, providing real-time status updates, resource change counts, and available execution actions.
Troubleshoots Kubernetes pods, nodes, and workloads using advanced kubectl debug workflows.
Generates project-specific architectural rules and workflow commands directly from Product Requirements Documents (PRDs).
Provides expert guidance for querying, filtering, and transforming JSON data using the jq command-line tool.
Monitors and analyzes Claude Code changelogs to identify breaking changes, new features, and optimization opportunities for plugin development.
Automates secret detection and security validation in Git workflows to prevent credential leaks before they are committed.
Monitors and lists Terraform Cloud workspace runs via shorthand commands to streamline infrastructure deployment tracking.
Synchronizes implementation progress with technical requirements using hierarchical FR codes and automated status reporting.
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