Agent Skills Hub

navi

Navi programming language expert. Use for writing Navi code, debugging, implementing concurrency, handling error states, and managing Navi's type system or module integrations.

basic-usage

Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.

hello-world

A friendly welcome skill that displays system OS details in ASCII art when triggered by casual greetings like 'hello' or 'hi'.

structured-code-review

Performs a structured five-stage code review covering requirements, correctness, code quality, testing, and security. Provides actionable, categorized feedback (Blocker/Major/Minor/Nit) to improve PR quality.

claude-code

Standardized skill for Claude Code agents to dynamically query OpenRouter model recommendations and metadata via the Claudish CLI.

dev

Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.

Advanced Modular Library Design

Design modular TypeScript libraries using HexDI principles: compile-time dependency validation, feature-first organization, and clean API boundaries.

godot-gdscript-patterns

Master Godot 4 GDScript patterns, including signal-based communication, state machines, scene architecture, and performance optimization for professional game development.

reviewing-code

Perform rigorous code reviews for FastMCP projects, focusing on API design, dependency management, and codebase consistency.

Security Code Review

Analyze source code for security vulnerabilities based on OWASP Top 10 guidelines and suggest remediation strategies.

database-driver-design

Expert guidance for building production-ready Swift database client libraries, covering wire protocols, connection pooling, state machines, and NIO integration.

symbols

Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.