castella-packaging
Package Castella UI applications into cross-platform executables, macOS app bundles, or installers using ux, PyInstaller, or Nuitka. Includes code signing and notarization support.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
414 skills found
Package Castella UI applications into cross-platform executables, macOS app bundles, or installers using ux, PyInstaller, or Nuitka. Includes code signing and notarization support.
Generate and edit images using Google's Nano Banana 2 via WaveSpeed AI. Supports text-to-image, natural language editing, multi-image composition, 4K resolution, and various aspect ratios.
Analyze Kubernetes controller code to generate contract-compliant dependency graph artifacts for the Kamera coverage strategy.
An autonomous UI implementation agent that converts Figma designs into pixel-perfect code using Figma MCP and browser-based refinement.
Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.
Manage screenpipe pipes (AI-driven automations) and integrations via CLI. Create, run, schedule, and debug local agents to automate tasks based on your computer activity.
Expert guide for kagent: the Kubernetes-native framework for building, deploying, and managing AI agents, MCP tools, and A2A protocols.
Control Claude Code via MCP protocol for autonomous development. Features persistent sessions, agent teams, precise execution planning, and advanced tool management for complex coding tasks.
Automates Moonwell protocol governance proposal lifecycle, from creation and verification to deployment and testing.
Create structured, orchestrator-ready project plans with atomic tasks, sprint structures, and validation criteria for multi-task engineering projects.
Enforce strict UI adherence to your project's design system tokens, components, and layout patterns for consistent frontend implementation.
Accelerate software delivery by shifting testing to the earliest development phases, using AI-driven requirements validation, TDD, and automated CI pipelines to reduce defect costs.