productivity▌

Transfer USDC to Ethereum addresses or ENS names on Base. \n \n Accepts both hex addresses (0x...) and ENS names (.eth) as recipients, with automatic ENS resolution \n Supports flexible amount formats: dollar notation ($5.00), decimal (1.50), or atomic units (1000000) \n Requires wallet authentication via the authenticate-wallet skill and sufficient USDC balance before sending \n Includes input validation to prevent shell injection and optional JSON output for programmatic use \n

Write, review, and improve SwiftData code using modern APIs and best practices. \n \n Validates code against core SwiftData rules including relationships, delete rules, autosaving, and FetchDescriptor patterns \n Checks predicates for safety and runtime crashes, with special handling for CloudKit constraints and unsupported operations \n Targets Swift 6.2+ with modern concurrency; recommends indexing strategies for iOS 18+ and class inheritance patterns for iOS 26+ \n Reports only genuine issues

Automated README generation by analyzing project documentation structure and metadata files. \n \n Scans .github/copilot directory files and copilot-instructions.md to extract project information, technology stack, architecture, and development workflow \n Generates well-structured markdown with standard sections: overview, tech stack, architecture, setup, folder structure, features, development workflow, coding standards, testing, and contributing guidelines \n Produces developer-focused docume

Image processing and manipulation using ImageMagick across Windows, Linux, and macOS. \n \n Retrieve image metadata, dimensions, and format information with the identify command \n Resize single or batch images with aspect ratio control and thumbnail generation \n Filter and process images based on dimensions or file type criteria \n Requires ImageMagick installed and available as magick on PATH; includes platform-specific setup for PowerShell (Windows) and Bash (Linux/macOS) \n

Assembly instruction patterns, control flow analysis, and decompilation techniques for understanding compiled binaries. \n \n Covers x86-64, ARM64, and ARM32 calling conventions with detailed instruction patterns for function prologues, epilogues, and parameter passing across System V and Microsoft x64 ABIs \n Includes control flow patterns for conditionals, loops, and switch statements, plus data structure recognition for arrays, structs, and linked lists \n Provides common code patterns for st

CI/CD pipelines, Docker containerization, deployment strategies, health checks, and production readiness for web applications. \n \n Covers three deployment patterns: rolling (zero-downtime gradual updates), blue-green (atomic traffic switching), and canary (percentage-based rollout with monitoring) \n Includes multi-stage Dockerfile examples for Node.js, Go, and Python with best practices for image size, non-root users, and health checks \n Provides GitHub Actions pipeline templates, environmen

Analyze search engine results pages to understand ranking factors, SERP features, and AI overview patterns. \n \n Maps SERP composition including AI Overviews, featured snippets, People Also Ask, knowledge panels, and organic results to reveal what Google shows for a query \n Analyzes top 10 ranking pages for common patterns: domain authority, content length, freshness, structure, and on-page factors that drive rankings \n Identifies SERP feature opportunities (featured snippets, PAA answers) an

Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, and properties. \n \n Covers Obsidian-specific syntax extensions: wikilinks ( [[Note]] ), embeds ( ![[Note]] ), callouts ( > [!type] ), block IDs, and frontmatter properties \n Supports internal vault linking with automatic rename tracking, plus embeds for notes, images, PDFs, and external media \n Includes callout types (note, warning, tip, danger, etc.), inline and block comments, highlights, LaTeX math, and Mermaid d

Comprehensive code reviews covering quality, security, performance, and best practices. \n \n Systematic review process across five dimensions: code quality, security vulnerabilities, performance, testing, and maintainability \n Includes initial assessment, detailed analysis guides, and constructive feedback frameworks \n Covers pull request analysis, coding standards compliance, and developer mentoring through structured review \n Best practices emphasize respectful feedback with explanations a

The Kernel CLI provides command-line access to Kernel's cloud browser platform for browser automation, serverless app deployment, and infrastructure management.