Anthropic API Agent Skills

The open-source alternative to Google's Code Wiki — with MCP. Index any codebase with tree-sitter, generate docs with your LLM, serve them through a full-featured docs site, and expose everything as tools for coding agents via MCP. Like Notion for code agents. Index a project and generate documentation. Defaults to the current directory. Start the docs server. Manage API keys and provider settings

English · 简体中文 ![][github-contributors-shield] ![][github-forks-shield] ![][github-stars-shield] ![][github-issues-shield] A powerful IntelliJ IDEA plugin that provides a visual interface for Claude Code and OpenAI Codex dual AI tools, making AI-assisted programming more efficient and intuitive. - Claude Code - Anthropic's official AI programming assistant, supporting Opus 4.5 and other models - O

Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack.

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks.

AgentSys A modular runtime and orchestration system for AI agents.

28 skills · 1 hook

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.

aka Vibe Debugging This is an MCP Server and VS Code extension which enables claude to interactively debug and evaluate expressions. That means it should also work with other models / clients etc. but I only demonstrate it with Claude Desktop and Continue here. It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode. 1. Download the extension from re

NOTICE: claude code is available with Anthropic's $20/mo subscription, so I consider codemcp fully obsolete. However, there are some good design ideas (especially around the Git-versioning scheme) that I eventually want to port into the current generation of agentic coding clis. Make Claude Desktop a pair programming assistant by installing codemcp. With it, you can directly ask Claude to implemen

Price bonds, analyze yield curves, evaluate FX carry trades, value options, and build macro dashboards using LSEG financial data and analytics. This plugin packages LSEG's financial analytics MCP tools into 8 high-level workflows that stitch together multiple tool calls for common financial analysis tasks. Instead of calling individual tools one at a time, each command orchestrates 4-5 tools into

117 skills · 54 commands · 5 MCPs

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

Also available in TypeScript Send requests to OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, Inception using MCP protocol via tool or predefined prompts. Vendor API key required The server implements one tool: - unichat: Send a request to unichat - Takes "messages" as required string arguments - Returns a response - codereview - Review code for best practices, potential issues, a

Full documentation is available at buildkite.com/docs/apis/mcp-server. When using many MCP tools, context usage can become significant. The --dynamic-toolsets flag enables Anthropic's Tool Search pattern which marks most tools for on-demand loading. To use this feature: 1. Start the server with the --dynamic-toolsets flag: 2. Enable tool search in Claude Code by setting the environment variable: W

Version: v0.2.0 An MCP server that provides access to the Postman API. Functionality is based on the official OpenAPI specification. For more information, see the Postman API documentation. This project is part of the Model Context Protocol (MCP) initiative from Anthropic. For more information, visit the MCP GitHub repository and the announcement on the Anthropic blog. Skip ahead to install instru

Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices.

ntfy-me-mcp provides AI assistants with the ability to send real-time notifications to your devices through the ntfy service (either public or selfhosted with token support). Get notified when your AI completes tasks, encounters errors, or reaches important milestones - all without constant monitoring. The server includes intelligent features like automatic URL detection for creating view actions

🚨 No Nix/NixOS Required! Works on any system - Windows, macOS, Linux. You're just querying APIs. Your AI now has access to real NixOS data instead of making things up. You're welcome. An MCP server providing accurate, real-time information about: - NixOS packages - 130K+ packages that actually exist - NixOS options - 23K+ ways to configure your system - Home Manager - 5K+ options for dotfile enth

This MCP server integrates with Google Drive to allow listing, reading, and searching files, as well as the ability to read and write to Google Sheets. This project includes code originally developed by Anthropic, PBC, licensed under the MIT License from this repo. - gdrivesearch - Description: Search for files in Google Drive. - query (string): Search query. - pageToken (string, optional): Token

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence.

Advanced filesystem operations for Claude Desktop with large file handling capabilities and Claude-optimized features. Add to your Claude Desktop config. - Basic setup - With backup files enabled Control backup file creation behavior. - CREATEBACKUPFILES=false (default): Disables backup file creation to reduce clutter - CREATEBACKUPFILES=true: Creates backup files before modifications Note: Backup

Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

An integration that allows Claude Desktop to monitor and query the operational status of major digital platforms including AI providers, cloud services, and developer tools using the Model Context Protocol (MCP). - Monitor world's most used digital platforms (GitHub, Slack, Discord, etc.) - Track AI providers including OpenRouter, OpenAI, Anthropic, and Gemini - Get detailed status information for