Search Skills

Generates test plans, destructive testing strategies, and verification protocols to ensure software quality before release.

Specializes in Search Engine Optimization (SEO), Generative Engine Optimization (GEO), and schema markup to enhance online visibility and search rankings.

Automates generation of technical documentation for resolved issues, improving knowledge sharing and reducing manual effort.

Specializes in developing custom tools, MCP servers, and agent capabilities for AI-driven automation systems.

Architects game design focusing on game feel, core loop psychology, and cross-platform engineering to create engaging and monetizable experiences.

Creates AI agent skills by authoring system prompts and implementing Chain of Thought and Few-Shot patterns for optimized agent behavior.

Enables writing tests before implementation code to ensure quality and guide development of features and bug fixes.

Enables saving and recalling context, decisions, and work state across conversations for seamless, uninterrupted interaction.

Guides Vue 3 component creation with Composition API, props/emits best practices, and VueUse integration for reactive UI development.

Offers headless Vue components with accessibility, composition patterns, and state management for building accessible and performant UIs.

Generates and posts structured bug reports with reproduction steps and technical insights to GitHub Issues.

Validates feature specifications for relevance, edge cases, and compatibility with existing patterns to ensure quality before implementation.

Methodology for writing, debugging, and fixing tests using TDD, failure investigation, and agent-assisted solutions.

Provides a generic description placeholder for documentation purposes.

Validates implementation plans against specifications to ensure complete coverage and eliminate ambiguities in software development planning.

Provides systematic debugging methodologies for hard bugs, including rubber ducking, code tracing, and hypothesis testing.

Generates distinctive, production-ready frontend interfaces with high design quality, avoiding generic AI aesthetics for web components, pages, and applications.

Provides guidance for creating, configuring, and understanding hookify rule syntax and patterns.

Automates associating feature branches with Linear issues, checking for existing issues or prompting for new ones.

Coordinates multiple AI agents in parallel for complex task decomposition and execution within OpenCode swarm workflows.

Automates browser interactions including navigation, form filling, screenshots, and data extraction for web testing and information gathering.

Provides standardized patterns for building minimal Nango integration actions as thin API wrappers with direct proxy calls and consistent structure.

Provides reusable patterns for Nango integration development, including type safety, schema definitions, and parameter handling.

Provides reusable patterns for building efficient data synchronization with Nango, including pagination, batch processing, and incremental updates.