Assess the MCP servers running across the organization's devices with Anomity. Use when the user asks which MCP servers are risky, unknown, or unapproved, what an MCP server can reach, or whether a specific MCP server is safe to allow.
Use this skill when building Model Context Protocol (MCP) servers on Cloudflare Workers. This skill should be used when deploying remote MCP servers with TypeScript, implementing OAuth authentication (GitHub, Google, Azure, etc.), using Durable Objects for stateful MCP servers, implementing WebSocket hibernation for cost optimization, or configuring dual transport methods (SSE + Streamable HTTP). The skill prevents 15+ common errors including McpAgent class export issues, OAuth redirect URI mismatches, WebSocket state loss, Durable Objects binding errors, and CORS configuration mistakes. Includes production-tested templates for basic MCP servers, OAuth proxy integration, stateful servers with Durable Objects, and complete wrangler.jsonc configurations. Covers all 4 authentication patterns: token validation, remote OAuth with DCR, OAuth proxy (workers-oauth-provider), and full OAuth provider implementation. Self-contained with Worker and Durable Objects basics. Token efficiency: ~87% savings (40k → 5k tokens). Production tested on Cloudflare's official MCP servers.
How to use the HF submission queue server for BRAIN simulations. Covers submitting jobs, querying results, polling, health checks, and priority rules. Trigger on: submit, server, HF, queue, hf_submit, hf_query.
Create and manage Python backend services using uv, FastAPI, Pydantic, SQLAlchemy, and AI libraries. Use this skill when the user asks to build a backend, API, or server-side application.
Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says \"modal run\", \"modal training\", \"modal inference\", \"deploy to modal\", \"need a GPU\", \"run on modal\", \"serverless GPU\", or needs remote GPU compute.
2 projects use a version of this
19k4mo agoReviewMountCreate a free account to mount
Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says \"modal run\", \"modal training\", \"modal inference\", \"deploy to modal\", \"need a GPU\", \"run on modal\", \"serverless GPU\", or needs remote GPU compute.
2 projects use a version of this
19k4mo agoReviewMountCreate a free account to mount
Scaffold a new Quarkus MCP server project with greeting tools, integration tests, and README. Use when the user wants to create, scaffold, or generate a Quarkus MCP server, mentions "quarkus mcp", "quarkus mcp server", "quarkiverse mcp", or asks to generate a Quarkus project with MCP tools.
3747d agoReviewMountCreate a free account to mount
Use when the user says 'what MCP servers', 'find an MCP for', 'hosted MCP', 'list MCP servers', 'MCP catalog', 'available MCP tools', or needs to discover zero-setup hosted MCP servers they can use immediately. Do NOT use for building MCP servers or configuring local MCP.
4335mo agoReviewMountCreate a free account to mount
Design, implement, and review Model Context Protocol servers exposing tools, resources, or prompts with clear schemas, least privilege, safe transport, and robust error handling.
Build, test, secure, and ship Model Context Protocol (MCP) servers and clients that expose tools, resources, and prompts to LLM applications: choosing between tools, resources, and prompts; picking a transport (stdio for local, HTTP-based for remote); designing tool names, input schemas, descriptions, and results; error handling; authentication and authorisation for remote servers; testing with inspector tools and real hosts; and limiting the blast radius of exposed actions. Use when someone wants to "build an MCP server", wrap an API or database for an AI assistant, connect a tool to an MCP-capable host, debug an MCP server that will not connect or whose tools the model misuses, or review an MCP server's security. For general tool and agent design use ai-agents-and-tool-use.
Design or review the tools of a remote MCP server so both ChatGPT's plugin review and Claude's connector review accept it and both models actually call it - Streamable HTTP at /mcp, verb_first tool names, titles, all four annotation hints set explicitly, output schemas with structured content, error results that say what to do, a per-result size budget, and server instructions that make ChatGPT use your tool instead of its own built-in features. Use when building or auditing an MCP server for ChatGPT or Claude, when a test prompt gets answered without your tool being called, when a review flags annotations or descriptions, or when tool results are too large.
Builds robust Python MCP (Model Context Protocol) servers with FastMCP — tool design, error contracts, event-loop-safe blocking work, subprocess/CLI wrapping, single-file vs packaged distribution, global-state-free testing, and prompt-injection awareness. Use when writing an MCP server, exposing a tool or CLI to an LLM client, debugging tool registration/packaging, or testing MCP tools.
5.9k3d agoReviewMountCreate a free account to mount
Runtime debugging and live project inspection via godot-mcp. Use when headless tools cannot diagnose the problem: code compiles but runtime behavior is wrong, tests pass but the game does not work as expected, or you need to inspect live state (node tree, console output, rendering). Escalation trigger: a task has failed 2+ times through the headless path (headless-build, gdunit-driver), or the issue is inherently runtime-only (visual glitches, input not responding, physics behaving unexpectedly at runtime). DO NOT use for: syntax/compile errors (use headless-build), unit test failures (use gdunit-driver), API lookups (use godot-api). Requires: godot-mcp MCP server registered as "godot" (@coding-solo/godot-mcp).
5557mo agoReviewMountCreate a free account to mount
A folder with a SKILL.md file: a name, a description of when to use it, and instructions. Claude loads a skill only when the task matches its description.
How do I use one I find here?
Copy the folder into your project's .claude/skills/ directory, or into your own skills folder to use it everywhere.
What do the warnings mean?
We read each file for commands that read secrets, delete things or pipe downloads into a shell, and say so before you copy it. No warning is not a promise that a file is safe.
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