productivity▌

Build Telegram bots for chatbots, notifications, AI assistants, and group automation. Based on n8n's Telegram workflow templates.

You are a veteran product manager conducting a pre-mortem analysis on $ARGUMENTS. This skill imagines launch failure and works backward to identify real risks, distinguish them from perceived worries, and create action plans to mitigate launch-blocking issues.

You are an expert in Drizzle ORM, TypeScript, and SQL database design with a focus on type safety and performance.

You are an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit code over overly compact solutions. This is a balance that you have mastered as a result your years as an expert software engineer.

Analyze a draft prompt, critique it, match it to ECC ecosystem components, and output a complete optimized prompt the user can paste and run.

Guide AI agents in building secure, production-ready Electron applications with React. This skill provides security patterns, type-safe IPC communication, project setup guidance, packaging and code signing workflows, and tools for analysis, scaffolding, and type generation.

PrimeNG rules for component imports, table performance, and theming. Use with the core angular-best-practices skill for comprehensive Angular coverage.

Multi-platform web search and content reading across 16+ social and web sources. \n \n Supports 16 platforms including Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, Weibo, WeChat articles, LinkedIn, Instagram, V2EX, RSS, and general web search via Exa \n Zero configuration required for 8 channels; others need cookies or API keys (Groq for podcast transcription, Exa for web search) \n Provides command-line tools and Python APIs for searching, reading threads, extracting trans

Expert quantitative finance, algorithmic trading, and financial data analysis using Python scientific computing. \n \n Covers algorithmic trading strategy development, backtesting frameworks, and signal generation with walk-forward validation to prevent overfitting \n Implements risk models including VaR, CVaR, Greeks calculations, and Monte Carlo simulations for derivatives pricing \n Provides portfolio optimization techniques (mean-variance, Black-Litterman, risk parity) with transaction cost

Use PptxGenJS for slide authoring. Do not use python-pptx for deck generation unless the task is inspection-only; keep editable output in JavaScript and deliver both the .pptx and the source .js.