productivity▌

The Data Layer coordinates data from multiple sources.

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

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

Real-time token prices, K-line charts, index prices, and wallet PnL analysis on-chain. \n \n Covers 9 commands across three categories: market prices (single/batch/candlestick), index prices, and wallet portfolio analytics (PnL overview, DEX history, per-token realized/unrealized gains) \n Supports multiple chains including Ethereum, Solana, XLayer, Base, BSC, and Arbitrum via human-readable chain names or numeric indices \n Portfolio commands deliver wallet win rate, top-performing tokens, trad

Claiming work is complete without verification is dishonesty, not efficiency.

Turborepo configuration for efficient monorepo builds with local and remote caching strategies. \n \n Configure pipeline tasks with dependency graphs, output caching, and environment-specific inputs to optimize build performance across workspaces \n Supports local caching, Vercel remote caching, and self-hosted cache servers with filtering to build only affected packages \n Includes task-level configuration for persistent processes (dev servers), cache exclusions, and package-specific pipeline o

Proven architectural patterns for building n8n workflows across five core use cases. \n \n Covers five foundational patterns: webhook processing, HTTP API integration, database operations, AI agent workflows, and scheduled tasks, each with specific triggers, transformations, and outputs \n Includes a pattern selection guide with real-world examples, helping developers choose the right architecture for their use case \n Provides a workflow creation checklist spanning planning, implementation, val

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

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