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Found 1,614 Skills
Essential patterns, idioms, and gotchas for writing Nushell code. Use when writing Nushell scripts, functions, or working with Nushell's type system, pipelines, and data structures. Complements plugin development knowledge with practical usage patterns.
Use Laravel-specific vocabulary—Eloquent patterns, Form Requests, API resources, jobs/queues—to get idiomatic framework code
Self-contained deploy automation — invoke directly, do not decompose. Deploys Fireproof Connect to a dedicated Studio VM on exe.dev. Sets up cloud sync backend for all your Vibes apps.
Expert embedded Rust development for ESP32 microcontrollers using no-std, Embassy async framework, and the ESP-RS ecosystem (esp-hal, esp-rtos, esp-radio). Use when building, debugging, flashing, or adding features to ESP32 projects. Covers sensor integration (ADC, GPIO, I2C, SPI), power management (deep sleep, RTC memory), WiFi networking, MQTT clients, display drivers, async task patterns, memory allocation, error handling, and dependency management. Ideal for LilyGO boards, Espressif chips (ESP32, ESP32-S3, ESP32-C3), and any no-std Xtensa/RISC-V embedded development.
Transform podcast transcripts into multiple content assets—blog posts, social snippets, newsletters, and SEO-optimized landing pages—using systematic repurposing workflows. Use when: Maximizing ROI from podcast episodes; Creating blog content from audio/video; Generating social media posts from long-form content; Building newsletter content from transcripts; Extracting quotes and highlights for promotion
Idiomatic Rust patterns for ownership, errors, traits, and configuration. Use when: - Writing or reviewing Rust code - Designing error handling with Result and thiserror - Implementing traits and composition patterns - Working with ownership and borrowing - Configuring Cargo features Keywords: Rust, ownership, borrowing, Result, thiserror, anyhow, trait, lifetimes, Cargo features, unsafe
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Generate images with Model Studio DashScope SDK using Qwen Image generation models (qwen-image-max, qwen-image-plus-2026-01-09). Use when implementing or documenting image.generate requests/responses, mapping prompt/negative_prompt/size/seed/reference_image, or integrating image generation into the video-agent pipeline.
Develop Go (Golang) applications using modern patterns, popular libraries, and idiomatic design. Activate when working with .go files, go.mod, go.sum, or user mentions Go, Golang, goroutines, channels, or Go libraries like gin, cobra, gorm.
Use the Docyrus CLI (`docyrus`) to interact with the Docyrus platform from the terminal. Use when the user asks to authenticate, list apps, query/manage data records (`ds`), manage dev app data source schema objects (`studio`), send API requests, switch environments/tenants/accounts, or discover OpenAPI specs via the `docyrus` command-line tool. Triggers on tasks involving docyrus CLI commands, terminal-based Docyrus operations, `docyrus ds list`, `docyrus studio`, `docyrus discover`, `docyrus auth`, `docyrus env`, or shell-based Docyrus workflows.
WHEN: User is writing Go code, asking about Go patterns, reviewing Go code, asking "what's the best way to...", "how should I structure...", "is this idiomatic?", or any question about error handling, concurrency, interfaces, packages, testing patterns, or code organization in Go. Also activate when user is debugging Go code, refactoring Go, or working in a Go project (go.mod present) and asks general coding questions. Trigger this skill liberally for ANY Go-related development work. WHEN NOT: Non-Go languages, questions entirely unrelated to programming
#1 on DeepResearch Bench (Feb 2026). Any-to-Any AI for agents. Combines deep reasoning with all modalities through sophisticated multi-agent orchestration. Research, videos, images, audio, dashboards, presentations, spreadsheets, and more.