Ferramentas

A complete development methodology for coding agents: brainstorm to clarify requirements, write an implementation plan, then build with subagents, with red-green TDD, systematic debugging and code review throughout. In the official Claude Code and Codex marketplaces.

Injects up-to-date, version-specific docs and code examples for libraries and frameworks into the agent's context, so it stops using outdated or invented APIs. By Upstash; works anonymously, and a free API key raises the limits.

Anthropic's financial-services plugin marketplace: skills, commands and agents for valuation models (DCF, LBO, comps), banking materials, sell-side research, private equity and fund ops, with FactSet, Morningstar and other connectors that may need vendor subscriptions or keys.

Lets agents model, lay out scenes, tweak materials and run Python in Blender, and import Poly Haven, Sketchfab and AI-generated 3D assets. Requires uv and the companion Blender add-on.

Figma's official remote MCP: hands components, variables and layout from your designs to the agent to generate code, and can create and edit designs on the canvas. Needs Figma sign-in; Starter plans and View or Collab seats get only 6 read calls a month.

UI/UX design knowledge base plugin with searchable UI styles, color palettes, font pairings, charts and guidelines for 20+ tech stacks; generates complete design system recommendations by product type. Needs Python 3 installed locally.

UI design knowledge base skill: looks up UI styles, palettes, font pairings, charts and UX guidelines by product type and generates a full design system, covering 22 stacks including React, SwiftUI and Flutter. Needs Python 3 locally.

Generates or edits images: photos, illustrations, textures, game sprites, product mockups and transparent assets. A built-in Codex system skill using the image_gen tool, no install needed; with approval it can use a bundled CLI script that needs OPENAI_API_KEY. By OpenAI.

Multi-agent investment research framework where fundamental, sentiment, news and technical analysts, bull and bear researchers, a trader and risk managers debate a stock and produce a report and rating. Covers US, Hong Kong and A-shares. Needs Python and an LLM API key; not investment advice.

Official OpenBB MCP server exposing the OpenBB Platform's equity, ETF, macroeconomic, crypto and news data to agents; enable only the tool categories you need to save context. Needs uv locally; some data sources need your own API keys. Not investment advice.

Command-line edition of the open-source OpenBB investment research platform: query stock prices, financial statements, macroeconomic and other financial data from the terminal, and automate data pulls with Routine scripts. Officially maintained; some sources need API keys.

macOS cleanup and maintenance CLI (mo): clears caches and logs, fully uninstalls apps, analyzes disk usage, removes project build artifacts and shows system status. Preview deletions with --dry-run; disk analysis and status support JSON output. Needs macOS 12+.

Multi-agent simulated hedge fund: agents modeled on investors like Buffett and Munger work with quant and risk modules to analyze stocks, with backtesting. Good for teaching investment frameworks. Needs Financial Datasets and model API keys; no real trading, not investment advice.

Upstash's official Context7 CLI (ctx7): search libraries and pull up-to-date docs from the terminal, or set up the Context7 MCP and rules for Claude Code, Cursor and other agents in one step. Docs lookup needs no login; signing in raises rate limits.

Packs a web page, local HTML or dist folder into a lightweight desktop app with one command (built on Rust Tauri; macOS, Windows, Linux), with --json output and llms.txt for agents. Needs Node.js; installs Rust automatically if missing.

Open-source crypto trading framework: download market data, backtest and optimize strategies, and paper trade from the CLI while agents iterate on strategies. Docker recommended; strategies need Python and live trading needs exchange API keys. Backtests don't guarantee returns.

Expo's official CLI: starts the React Native dev server, runs prebuild to generate native folders, runs apps locally on iOS and Android, and installs version-compatible dependencies. Ships with the expo package; call it with npx expo inside a project.

Package manager for macOS and Linux: agents can brew install CLI tools and desktop apps (casks), or use brew bundle to restore a dev environment from a Brewfile.

Microsoft's open-source AI quant investment research platform: the qrun command runs dataset building, model training, backtesting and evaluation from a YAML config, with many benchmark models. The official dataset is paused, so prepare market data per the README first.

Design engineering skills by Emil Kowalski, author of Sonner and Vaul: choose animation easing and durations, review and improve motion, apply Apple design principles, make web apps feel native on phones, and help pick UI libraries and prototype multiple versions.

Release automation for iOS and Android: lanes orchestrate builds, code signing management, screenshot generation and uploads to the App Store and Google Play, and agents can call a project's existing lanes directly.

Startup business analysis plugin with 5 skills, 3 commands and a subagent: TAM/SAM/SOM market sizing, 3-5 year financial models, team and compensation planning and competitive landscape analysis, producing investor-ready business case documents.

UI/UX design plugin from the wshobson/agents marketplace with 3 subagents, 9 skills and commands for design review, component creation and accessibility audits, covering design tokens, WCAG 2.2, responsive layout, iOS HIG and Material Design 3 for in-code UI design and review.

Quant trading plugin from the wshobson/agents marketplace: quant analyst and risk manager subagents plus backtesting and risk metrics skills for strategy backtests, portfolio optimization and risk measures like VaR, Sharpe ratio and max drawdown. Needs local Python; not investment advice.