Backend

This skill provides symbol-level code understanding and navigation using Language Server Protocol (LSP). Enables IDE-like capabilities for finding symbols, tracking references, and making precise code edits at the symbol level.

Remote control tmux sessions for interactive CLIs (python, gdb, etc.) by sending keystrokes and scraping pane output.

Maintain project documentation synchronized with code. Keep feature specs, API contracts, and README current with init-project standards. Use when updating docs after code changes, adding new features, or ensuring documentation completeness.

Create effective documentation that LLMs can discover and use. Use when documenting code, APIs, features, or creating reference materials. Covers structure, conciseness, examples, and anti-patterns for optimal LLM comprehension.

Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.

Send system notifications to specific Clawdis nodes (macOS computers) via the Gateway and CLI. Use when you need to alert a person or confirm a remote action on a particular machine, or when an agent must push a notification to another computer.

Web search and content extraction via Brave Search API.

Discover, interpret, and target Clawdis nodes (paired devices) via the Gateway/CLI. Use when an agent must find available nodes, choose the best target machine, or reason about presence vs node availability (Tailnet/Tailscale optional).

Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.

Generates comprehensive code tutorials on LlmTornado API formatted for Medium publication with examples, explanations, and best practices.

Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications. Triggers include "browse", "navigate to", "go to website", "extract data from webpage", "screenshot", "web scraping", "fill out form", "click on", "search for on the web". When taking actions be as specific as possible.

Detect exposed secrets, API keys, credentials, and tokens in code. Use before commits, on file saves, or when security is mentioned. Prevents accidental secret exposure. Triggers on file changes, git commits, security checks, .env file modifications.

Enterprise Backend-as-a-Service Foundation with AI-powered BaaS architecture patterns, strategic provider selection, and intelligent multi-service orchestration for scalable production applications

C# 12 / .NET 8 development specialist covering ASP.NET Core, Entity Framework, Blazor, and modern C# patterns. Use when developing .NET APIs, web applications, or enterprise solutions.

Ruby 3.3+ development specialist covering Rails 7.2, ActiveRecord, Hotwire/Turbo, and modern Ruby patterns. Use when developing Ruby APIs, web applications, or Rails projects.

JavaScript ES2024+ development specialist covering Node.js 22 LTS, Bun 1.x (serve, SQLite, S3, shell, test), Deno 2.x, testing (Vitest, Jest), linting (ESLint 9, Biome), and backend frameworks (Express, Fastify, Hono). Use when developing JavaScript APIs, web applications, or Node.js projects.

Go 1.23+ development specialist covering Fiber, Gin, GORM, and concurrent programming patterns. Use when building high-performance microservices, CLI tools, or cloud-native applications.

Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.