productivity▌

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

Comprehensive PostgreSQL database engineering covering indexing, query optimization, replication, and production management. \n \n Covers 6 index types (B-tree, Hash, GiST, GIN, BRIN, SP-GiST) with decision matrices for choosing the right index for specific query patterns \n Includes streaming and logical replication setup, failover procedures, and high-availability configuration with synchronous/asynchronous modes \n Provides partitioning strategies (range, list, hash) with automation examples

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

Build type-safe APIs with Hono for Cloudflare Workers, Deno, Bun, and Node.js. \n \n Supports routing, middleware, validation (Zod/Valibot), RPC, streaming (SSE), WebSocket, and security features (CSRF, secure headers) \n Type-safe context extension with c.set() and c.get() , full TypeScript inference for request/response data \n RPC pattern enables type-safe client/server communication without manual API definitions; export route types for instant IDE autocomplete \n Prevents 10 documented issu

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

Generate podcast episodes with 1-2 AI speakers discussing a topic. Supports quick overviews, deep analysis, and debate formats. Input can be a topic description, URL(s), or text. Output is a full audio episode with transcript.

Facilitate a structured workshop to map customer journeys, identify pain points, and align teams on experience improvements. \n \n Guides you through five adaptive questions covering persona selection, scenario definition, journey phases, actions/emotions/thoughts per phase, and opportunity prioritization \n Generates a complete journey map artifact with 4–6 phases, customer emotions and pain points per phase, and 5–7 ranked improvement opportunities tied to specific phases \n Designed for disco

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

Deploy local files to Google Apps Script projects with version control. \n \n Requires the gws-apps-script skill and gws command-line tool as prerequisites \n Supports listing projects, retrieving project content, updating files, and creating versioned releases \n Workflow covers four core operations: project discovery, content inspection, file updates, and version creation \n

Optimization framework for getting your content cited by AI search engines like ChatGPT, Claude, and Perplexity. \n \n Covers RAG retrieval factors (semantic relevance, authority signals, freshness) that determine which content AI engines select and cite \n Provides a content checklist including question-based titles, original data, expert quotes, FAQ sections, and structured schema markup \n Includes guidance on entity building, AI crawler access control (GPTBot, Claude-Web, PerplexityBot), and