Browse skills

Audits and troubleshoots DNS records for domains including A, AAAA, CNAME, MX, TXT, SPF, DKIM, DMARC, CAA, and NS records. Use when someone needs to verify DNS configuration, debug DNS propagation issues, check email authentication records, or audit domain security. Trigger words: DNS records, dig, nslookup, SPF, DKIM, DMARC, MX records, DNS propagation, nameservers, CAA, domain configuration.

Build, debug, and optimize Docker configurations. Use when a user asks to create a Dockerfile, fix Docker build errors, optimize image size, write docker-compose files, debug container issues, set up multi-stage builds, or troubleshoot networking between containers. Covers Dockerfile best practices and compose orchestration.

Deploy apps with Dokku — self-hosted Heroku alternative on any VPS. Use when: self-hosting web apps without Kubernetes, setting up git-push deployments, running PaaS on your own server.

Manage secrets and environment variables using the Doppler CLI. Use when the user wants to set up Doppler, inject secrets into processes, manage projects and configs, upload or download secrets, create service tokens, use secret templates, or integrate Doppler with Docker, Kubernetes, or CI/CD pipelines. Trigger words: doppler, secrets manager, env vars, secret injection, doppler run, doppler setup, service token, secret rotation.

You are an expert in Drizzle ORM, the lightweight TypeScript ORM that maps directly to SQL. You help developers write type-safe database queries that look like SQL (not a new query language), generate migrations from schema changes, and deploy to serverless environments with zero overhead — supporting Postgres, MySQL, SQLite, Turso, Neon, PlanetScale, and Cloudflare D1.

You are an expert in DSPy, the Stanford framework that replaces prompt engineering with programming. You help developers define LLM tasks as typed signatures, compose them into modules, and automatically optimize prompts/few-shot examples using teleprompters — so instead of manually crafting prompts, you write Python code and DSPy finds the best prompts for your task.

Data Version Control for ML projects. Track large datasets and models alongside Git, build reproducible ML pipelines, and run experiments with metric comparison. Works with any storage backend including S3, GCS, Azure, and local filesystems.

Create interactive data visualizations with Apache ECharts. Use when a user asks to build charts, dashboards, or data-driven graphics using ECharts in React, Vue, or vanilla JavaScript applications.

Configure and use Elasticsearch for full-text search, custom analyzers, aggregations, and index management. Use when a user needs to design search mappings, write complex queries, build aggregation pipelines, tune relevance scoring, or optimize index performance for search workloads.

Assists with building cross-platform desktop applications using Electron. Use when architecting main/renderer process communication, configuring secure contexts, implementing auto-updates, or packaging apps for Windows, macOS, and Linux. Trigger words: electron, desktop app, browserwindow, ipc, auto-update, electron-builder.

You are an expert in Elixir, the functional programming language built on the Erlang VM (BEAM). You help developers build highly concurrent, fault-tolerant, and distributed systems using Elixir's process model, pattern matching, GenServer, supervision trees, Phoenix web framework, LiveView for real-time UI, and Ecto for database interactions — achieving massive concurrency with lightweight processes and "let it crash" reliability.

Diagnoses email deliverability problems for transactional and marketing emails. Checks SPF/DKIM/DMARC alignment, sending IP reputation, email content spam triggers, and bounce patterns. Use when emails land in spam, go missing, or bounce unexpectedly. Trigger words: email spam, deliverability, emails not arriving, bounce rate, spam folder, email reputation, SPF fail, DKIM fail, DMARC, transactional email, SendGrid, Postmark, SES.

You are an expert in dlt, the open-source Python library for building data pipelines. You help developers load data from any API, file, or database into warehouses and lakes using simple Python decorators — with automatic schema inference, incremental loading, and built-in data contracts. dlt is the "requests library for data pipelines."

Parse complex documents with IBM docling. Use when a user asks to parse a document with tables, extract figures from a document, handle multi-column layouts, convert a complex PDF to structured data, extract content from academic papers, or process documents with mixed layouts. Handles tables, figures, headers, footers, and multi-column text.

Build documentation websites with Docusaurus. Use when a user asks to create a documentation site, build a developer portal, set up API docs, create a knowledge base, add versioned documentation, build a static docs site with search, create a blog alongside docs, or migrate from GitBook or ReadTheDocs. Covers project setup, docs structure, versioning, custom pages, blog, Algolia search, MDX components, and deployment.

Expert guidance for Dokploy, the open-source, self-hosted Platform as a Service alternative to Vercel, Netlify, and Heroku. Helps developers deploy applications, databases, and services on their own VPS with automatic SSL, Docker-based isolation, and a web dashboard for management.

You are an expert in @react-three/drei, the companion library for React Three Fiber that provides 100+ ready-made components and hooks for common 3D patterns. You help developers add orbit controls, environment maps, text rendering, HTML overlays, loaders, performance utilities, shaders, and abstractions — eliminating boilerplate and letting teams focus on creative work instead of Three.js plumbing.

Explore and manage databases with Drizzle Studio. Use when a user asks to browse database contents visually, inspect tables and data, run ad-hoc queries, manage database records through a GUI, debug database issues, or use a lightweight alternative to pgAdmin or DBeaver. Covers setup with Drizzle ORM, standalone usage, data browsing, filtering, and inline editing.

DuckDB is an in-process analytical database that runs embedded inside your application with zero external dependencies. It can query CSV, Parquet, and JSON files directly without loading them into tables first, making it ideal for local data exploration, ETL pipelines, and analytical workloads where spinning up a server is overkill.

You are an expert in E2B, the cloud platform for running AI-generated code in secure sandboxes. You help developers give AI agents the ability to execute code, install packages, read/write files, and run long processes in isolated cloud environments — each sandbox is a lightweight VM that boots in ~150ms with full Linux, filesystem, and networking.