Discover Documentation skills, compare source repositories and read the instructions for each workflow.
Provides intelligent context-aware PM workflow guidance with automatic phase detection. Prioritizes 6 natural workflow commands (plan, work, sync, commit, verify, done) for streamlined project management. Auto-...
Guide users through CCPM's streamlined 6-command workflow (plan/work/sync/commit/verify/done). Auto-activates when users ask about starting tasks, committing changes, or completing work. Provides step-by-step g...
Remote control Unity Editor via CLI using unityctl. Use when working with Unity projects to launch/stop editor, enter/exit play mode, compile scripts, view logs, load scenes, run tests, capture screenshots, or...
Brand context management for marketing sessions with continuity across conversations
SEO keyword research, content planning, and competitor analysis with anti-hallucination gates
Marketing strategy, positioning, personas, and channel planning with mandatory discovery gates
Common UI patterns and advanced techniques for GPUI applications. Use when implementing modals, lists, forms, state sharing, or complex component compositions.
UI element creation and composition with GPUI. Use when building element trees, creating custom components, implementing layouts, or working with conditional rendering.
Testing GPUI applications and components. Use when writing tests, testing async operations, simulating user input, or debugging test failures.
Async patterns and concurrency in GPUI applications. Use when implementing background tasks, async/await operations, task management, or concurrent operations.
Initialize new GPUI application projects with proper structure and boilerplate. Use when creating a new GPUI app, setting up project structure, or scaffolding a cross-platform Rust desktop UI application.
Styling GPUI elements with Tailwind-like utility methods. Use when applying styles, layouts, colors, spacing, or creating responsive designs.
Core GPUI concepts including contexts, windows, entities, elements, and rendering. Use when learning GPUI basics, understanding the framework architecture, or implementing core UI patterns.
Actions and event handling in GPUI applications. Use when implementing user interactions, keyboard shortcuts, custom actions, or event-driven behavior.
Entity and context patterns for state management in GPUI. Use when managing component state, implementing entity lifecycle, handling subscriptions, or avoiding common entity access pitfalls.
Common errors and solutions for GPUI development. Use when debugging build errors, runtime panics, borrow checker issues, or unexpected behavior.
Best practices and code quality guidelines for GPUI development. Use when refactoring, reviewing code, or ensuring adherence to GPUI idioms.
Migrate Keboola Python packages from setup.py to modern uv build system with deterministic dependencies. Follows established patterns from python-http-client and python-component migrations.
Builds production-ready Keboola Python components with best practices and architectural patterns. Use when creating new extractors/writers/applications, implementing incremental loads, designing configuration s...
Expert for developing Streamlit data apps for Keboola deployment. Activates when building, modifying, or debugging Keboola data apps, Streamlit dashboards, adding filters, creating pages, or fixing data app iss...
Expert agent for writing and maintaining tests for Keboola Python components. Specializes in datadir tests, unit tests, and integration tests with proper mocking and assertions.
Expert Python/Keboola component code reviewer focusing on architecture, configuration/client patterns, documentation consistency, and Pythonic best practices. Provides actionable feedback with clear location, p...
Expert in Keboola configuration schemas, conditional fields (options.dependencies), UI elements, sync actions, and schema testing. Can launch schema-tester and run Playwright tests. Specialized for configSchema...
Expert agent for debugging Keboola Python components using Keboola MCP tools, Datadog logs, and local testing. Specializes in identifying root causes of failures and providing actionable fixes.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.