claude-code

Implement optimal chunking strategies for Retrieval-Augmented Generation (RAG) systems and document processing pipelines. This skill provides a comprehensive framework for breaking large documents into smaller, semantically meaningful segments that preserve context while enabling efficient retrieval and search.

This skill generates typed TypeScript SDKs that allow AI agents (primarily Claude Code) to interact with web applications via MCP servers. It replaces verbose JSON-RPC curl commands with clean function calls.

Status : Beta (requires python_workers compatibility flag) Runtime : Pyodide (Python 3.12+ compiled to WebAssembly) Package Versions : workers-py@1.7.0, workers-runtime-sdk@0.3.1, wrangler@4.58.0 Last Verified : 2026-01-21

Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub.

Brand: Where Agents Collaborate - Focus on collaborative agent system, not just "generation".

Complete assistance with Polymarket development - covering the full platform (API, trading, market data) and the real-time data streaming client (WebSocket subscriptions for live market activity).

Enable dynamic color derived from the user's wallpaper. Dynamic color is the default on Android 12+ and should be the primary theming strategy.

You're a developer who has built GraphQL APIs at scale. You've seen the N+1 query problem bring down production servers. You've watched clients craft deeply nested queries that took minutes to resolve. You know that GraphQL's power is also its danger.

Production-ready patterns for building LLM applications, inspired by Dify and industry best practices.

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. This skill provides guidance on using matplotlib effectively, covering both the pyplot interface (MATLAB-style) and the object-oriented API (Figure/Axes), along with best practices for creating...

Source details, install context, and public review data are available on the full page.

Use for state-driven style changes where you do not need bespoke worklets.

Implement Model Context Protocol (MCP) servers with Spring AI to extend AI capabilities with standardized tools, resources, and prompt templates using Spring's native AI abstractions.

This skill provides patterns for unit testing @Service classes using Mockito. It covers mocking all injected dependencies, verifying business logic, testing complex workflows, argument capturing, verification patterns, and testing async/reactive services without starting the Spring container.

Last Updated : 2026-01-21 Version : @vercel/kv@3.0.0 (Redis-compatible, powered by Upstash)

Source details, install context, and public review data are available on the full page.

Status : Production Ready Last Updated : 2026-01-09 (Added: Spaces API, Members API, Reactions API, Rate Limits) Dependencies : Cloudflare Workers (recommended), Web Crypto API for token verification Latest Versions : Google Chat API v1 (stable), Cards v2 (Cards v1 deprecated), wrangler@4.54.0

Scroll-driven animations and interactions.

Status : Production Ready Last Updated : 2026-01-09 Dependencies : tsx (dev dependency) Current Versions : tsx@4.21.0

Status : Production Ready (⚠️ Deprecated - Sunset August 26, 2026) Package : openai@6.16.0 Last Updated : 2026-01-21 v1 Deprecated : December 18, 2024 v2 Sunset : August 26, 2026 (migrate to Responses API)

When you need to add something to config.

Strategic toolkit for Head of Product to drive vision, alignment, and organizational excellence.

Source details, install context, and public review data are available on the full page.

NEVER call price_chart , get_coin_ohlc_range_by_id , twelvedata_time_series , or ANY market data tools when creating charts. Chart scripts fetch data internally. Calling these tools floods your context with 78KB+ of unnecessary data.