Search Skills

Provides expert guidance for deploying containerized applications using Kamal, enabling zero-downtime deployments on VPS/cloud servers without Kubernetes.

Expert prompt engineering for AI systems, including writing, reviewing, and optimizing prompts for LLMs like Claude and GPT to enhance AI performance and output quality.

Expert Rails code writing and review following DHH's style and architectural principles.

Personalized AI coding tutor that adapts to your codebase using spaced repetition and quizzes to build a persistent learning trail.

Provides design principles for AI agent tools including naming, input/output structure, error handling, and evaluation to maximize agent effectiveness.

Automates monitoring of Discord channel activity, storing notable items in memory for real-time access during heartbeat cycles.

Automates prioritization of maintainer tasks by analyzing GitHub and Discord activity to identify urgent issues and project status.

Automatically updates terminal window titles to reflect current tasks, enabling clear identification across multiple development sessions.

Provides 22 AI agents for automated security reviews, code quality analysis, compliance checks, and infrastructure validation with auto-activation.

Enforces consistent naming and API structure for OpenLark Rust SDK, resolving conflicts and ensuring semantic clarity in public interfaces.

Validates API implementation coverage by comparing actual code against a predefined list using a Python script.

Reviews Rust SDK code design and public API specifications for consistency, feature gating, and documentation, providing prioritized improvement plans and actionable solutions.

Automates creation and management of stacked pull requests to enable efficient, incremental code reviews on large features.

Graph-first memory orchestration with knowledge graph primary and optional mem0 cloud for semantic search in AI applications.

Provides integration testing patterns for APIs, components, and service layers using test databases to validate interactions.

Validates golden datasets for AI evaluation through schema checks, duplicate detection, and coverage analysis to ensure data integrity.

Enables end-to-end type safety in TypeScript applications using Zod, tRPC, and Prisma for robust input validation and type checking.

Provides reusable patterns for cross-encoder reranking and LLM-based relevance scoring to enhance search precision in RAG pipelines.

Provides component patterns and utilities for shadcn/ui, including CVA variants, OKLCH theming, and cn() for building and customizing React components.

Provides unified code linting and formatting with Biome 2.0+, featuring ESLint migration, CI integration, and 421 rules for consistent code quality.

Provides advanced asyncio patterns for Python, including TaskGroup and structured concurrency to build high-performance concurrent services.

Enables reliable event publishing with atomic writes and exactly-once semantics in microservices using the transactional outbox pattern.

Adds structured logging, metrics, tracing, and alerting to applications for comprehensive system monitoring and observability.

Enables asynchronous task processing in Python backends using Celery, ARQ, and Redis for background jobs, queues, and scheduled tasks.