Describe a crypto strategy in plain language — get a working Binance/Bybit trading bot (paper-first, risk-guarded) plus an honest backtest report on real market data. Institutional metrics, buy-and-hold benchmark, verdict that never flatters. You deploy with your own API keys.
Boost smaller AI models with better planning, context management, validation, repair loops, tool use, and structured execution — without relying on a larger model.
MCPサーバーの雛形を対話形式で生成するスキルです。ツール・リソース定義、登録設定(.mcp.json)、起動確認手順まで一式出力。Python(FastMCP)対応。自分のAPIやDBをClaudeから使えるようにしたい時に。
Connect any MCP-compatible AI agent (Claude, Cursor, Copilot, Codex, Windsurf, Amp, Cline) to Penpot to create, audit, and maintain design systems — tokens, flows, interactions, animations, and design-to-code export to HTML/CSS/React.
One-call orchestration across OpenAI, Anthropic, and Google Gemini with role assignment, voting, cost-aware routing, and a unified response envelope. Ships with LangChain and CrewAI adapters, an offline mock fallback for testing without API keys, and a 100-point quality/cost/latency score.
Baoyu Skills is a popular GitHub toolkit for AI content generation, design workflows, backend automation, and everyday productivity. It brings together design, content creation, and utility skills for making image cards, cover images, infographics, diagrams, Markdown to HTML pages, and more. You can run it online for free without installing anything locally.
AI Brainstorm puts Claude, Gemini, and ChatGPT in the same room — each one answering independently, so you actually see where they agree, where they don't, and why. Useful when the stakes are high enough to want more than one opinion: picking a tech stack, stress-testing a strategy, getting honest feedback on your writing, or thinking through a decision you've been sitting on too long. Stop copy-pasting the same prompt across three tabs. One question gets you all three answers, in one place.
Built from hands-on experience running AI agents on Android/Termux aarch64. Every command and workaround in this skill was discovered through real builds, not docs. Tested across multiple devices and model sizes.
Before you install an MCP server or agent skill, find out what it reads, runs, and sends. Share a GitHub URL or upload repository files to get an evidence-backed install decision, code citations, documentation mismatches, and targeted fixes. Also reviews coding-agent plugins. Static review; no code execution.