productivity▌

Plan educational math and science videos scene-by-scene before implementing with Manim. \n \n Conducts topic research and asks clarifying questions about audience, video length, depth, and style preferences to shape the narrative \n Outputs a comprehensive scenes.md file specifying each scene's purpose, visual elements, animations, narration, and technical implementation notes \n Applies 3Blue1Brown principles including progressive revelation, visual continuity, pacing variation, and mathematica

帮助用户将想法转化为专业的 Seedance 2.0 视频分镜提示词。

Two free services, no API keys needed.

This skill creates a complete Hyvä child theme with the proper directory structure, configuration files, and Tailwind CSS build setup.

这是跨境电商选品的供应链工具。在 1688 找到核心工厂和起批价，为核价计算提供成本数据。

Professional quantitative investment analysis system based on TradingView MCP tools providing insights and decision recommendations.

Deep research across 10+ social platforms and prediction markets, synthesized into cited reports on what people are discussing right now. \n \n Searches Reddit, X, Bluesky, Truth Social, YouTube, TikTok, Instagram, Hacker News, Polymarket, and the web for content from the last 30 days (configurable with --days ) \n Extracts engagement signals (upvotes, likes, views, comments) and cross-platform patterns to identify strongest community signals \n Supports four query types: recommendations (specif

Locate and address review comments on GitHub PRs using gh CLI with user-guided workflows. \n \n Fetches all comments and review threads from the open PR for the current branch, displaying them with summaries of required fixes \n Requires gh CLI authentication with elevated permissions (workflow/repo scopes); prompts re-authentication if rate limits or auth errors occur mid-run \n Presents numbered comment list to user for selection, then applies fixes to chosen comments \n Handles sandboxing con

Systematic trading research with backtesting, alpha validation, and statistical rigor to separate real edges from overfit signals. \n \n Covers backtesting methodology, alpha signal research, factor investing, statistical arbitrage, and regime detection with emphasis on avoiding common pitfalls like look-ahead bias and overfitting \n Includes walk-forward analysis, out-of-sample testing, and transaction cost modeling to validate strategies beyond in-sample performance \n Grounded in skepticism t

Five specialized agents for ideation, design thinking, innovation strategy, problem-solving, and storytelling. \n \n Five named agents (Carson, Maya, Victor, Dr. Quinn, Sophia) each with distinct methodologies: brainstorming coach, design thinking facilitator, innovation strategist, creative problem solver, and storyteller \n Brainstorming agent covers 36 techniques across 7 categories; storytelling agent provides 25 proven story frameworks; problem-solving agent uses TRIZ, Theory of Constraints