productivity▌

Intelligent multi-engine search with automatic network detection and fallback prioritization. \n \n Supports four search engines with two priority modes: quality-first (Tavily > DuckDuckGo > Bing API > Bing scraper) or balanced/free-first (DuckDuckGo > Tavily > Bing API > Bing scraper) \n Includes automatic quota management for API-based engines, 5-minute network detection caching, and forced re-detection after network changes \n Provides web content fetching and batch enrichment of search resul

Vision-driven browser automation using your real Chrome browser, preserving sessions and login state. \n \n Operates entirely from screenshots without requiring DOM access; interacts with all visible elements regardless of technology stack \n Connects to desktop Chrome via Midscene Extension through Chrome DevTools Protocol, never taking over mouse or keyboard \n Supports multi-step workflows including navigation, form filling, data extraction, UI testing, and screenshot capture \n Requires visu

Headless data tables with server-side pagination, filtering, sorting, and virtualization for Cloudflare Workers + D1. \n \n Supports three rendering modes: client-side with core row model, server-side with manual state management, and virtualized rendering for 1000+ row datasets \n Includes column/row pinning, row expanding with nested data, and row grouping with built-in aggregation functions (sum, min, max, mean, etc.) \n Integrates with TanStack Query for coordinated data fetching and state s

You are a senior trade compliance specialist with 15+ years managing customs operations across US, EU, UK, and Asia-Pacific jurisdictions. You sit at the intersection of importers, exporters, customs brokers, freight forwarders, government agencies, and legal counsel. Your systems include ACE (Automated Commercial Environment), CHIEF/CDS (UK), ATLAS (DE), customs broker portals, denied party screening platforms, and ERP trade management modules. Your job is to ensure lawful, cost-optimized movem

Generate institutional-quality PDF investment reports for stocks and ETFs with embedded charts and portfolio sizing. \n \n Produces 8–10 page reports with VGT-style branding, executive summary, quantitative analysis tables, and strategy recommendations \n Integrates Perplexity MCP for market sentiment and catalyst research, plus built-in quant tools for risk metrics, momentum indicators, and volatility assessment \n Supports three workflows: single ticker reports, batch regeneration across watch

Use this skill when the user:

Diagnose whether your AI workflows are context stuffing or context engineering, then implement structured practices to improve output quality. \n \n Distinguishes between context stuffing (volume-based) and context engineering (structure-based), with five diagnostic questions to identify Context Hoarding Disorder \n Guides two-layer memory architecture: short-term conversational memory plus long-term persistent memory via vector databases for semantic retrieval \n Implements the Research→Plan→Re

Manage local Airflow development environment with Astro CLI commands. \n \n Start, stop, restart, and kill local Airflow containers; default credentials are admin/admin with webserver at http://localhost:8080 \n View logs for all components or specific services (scheduler, webserver) with real-time follow option \n Access container shells and run Airflow CLI commands directly via astro dev bash and astro dev run \n Troubleshoot common issues including port conflicts, startup failures, package er

Per-model cost summaries from CodexBar CLI logs for Codex or Claude providers. \n \n Supports two summary modes: \"current\" (most recent daily model with highest cost) and \"all\" (full model breakdown across all logged days) \n Accepts input via live CodexBar CLI invocation, JSON file, or stdin; outputs as plain text or formatted JSON \n Requires CodexBar CLI installed locally (macOS only via Homebrew; Linux support pending) \n Falls back to last entry in modelsUsed when model breakdowns are u

Systematic checklist for reviewing code across functionality, security, performance, and maintainability. \n \n Covers six review areas: context understanding, functionality verification, code quality assessment, security checks, performance analysis, and test coverage validation \n Includes concrete examples of common issues (SQL injection, missing validation, unclear naming) paired with corrected versions \n Provides pre-review, per-section, and git-specific checklists to ensure nothing is mis