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Found 3,031 Skills
AWS RDS (Relational Database Service) management using AWS SDK for Java 2.x. Use when creating, modifying, monitoring, or managing Amazon RDS database instances, snapshots, parameter groups, and configurations.
Provides unified configuration and log storage services for other skills, supporting data sharing and collaboration between skills
Teaches the assistant how to embed and execute external binaries (sidecars) in Tauri applications, including configuration, cross-platform executable naming, and Rust/JavaScript APIs for spawning sidecar processes.
Complete GitHub repository setup with production-grade standards including community health files, CI/CD workflows, issue templates, documentation site, badges, CODEOWNERS, and release management. Handles initialization, configuration, GitHub Pages deployment, and automated quality checks for professional open-source or enterprise projects.
Debug and troubleshoot Helm deployment failures, template errors, and configuration issues. Covers helm template, helm lint, dry-run, debugging YAML parse errors, value type errors, and resource conflicts. Use when user mentions Helm errors, debugging Helm, template rendering issues, or troubleshooting Helm deployments.
Recommended Go linters and golangci-lint configuration. Use when setting up linting for a Go project or configuring CI/CD.
Guide users to define requirements through multi-round conversations, reference existing Dify cases, and generate workflow DSL YAML configurations that can be directly imported into Dify
Optimize Ollama configuration for maximum performance on the current machine. Use when asked to "optimize Ollama", "configure Ollama", "speed up Ollama", "tune LLM performance", "setup local LLM", "fix Ollama performance", "Ollama running slow", or when users want to maximize inference speed, reduce memory usage, or select appropriate models for their hardware. Analyzes system hardware (GPU, RAM, CPU) and provides tailored recommendations.
Use this skill when building MCP (Model Context Protocol) servers with FastMCP in Python. FastMCP is a framework for creating servers that expose tools, resources, and prompts to LLMs like Claude. The skill covers server creation, tool/resource definitions, storage backends (memory/disk/Redis/DynamoDB), server lifespans, middleware system (8 built-in types), server composition (import/mount), OAuth Proxy, authentication patterns, icons, OpenAPI integration, client configuration, cloud deployment (FastMCP Cloud), error handling, and production patterns. It prevents 25+ common errors including storage misconfiguration, lifespan issues, middleware order errors, circular imports, module-level server issues, async/await confusion, OAuth security vulnerabilities, and cloud deployment failures. Includes templates for basic servers, storage backends, middleware, server composition, OAuth proxy, API integrations, testing, and self-contained production architectures. Keywords: FastMCP, MCP server Python, Model Context Protocol Python, fastmcp framework, mcp tools, mcp resources, mcp prompts, fastmcp storage, fastmcp memory storage, fastmcp disk storage, fastmcp redis, fastmcp dynamodb, fastmcp lifespan, fastmcp middleware, fastmcp oauth proxy, server composition mcp, fastmcp import, fastmcp mount, fastmcp cloud, fastmcp deployment, mcp authentication, fastmcp icons, openapi mcp, claude mcp server, fastmcp testing, storage misconfiguration, lifespan issues, middleware order, circular imports, module-level server, async await mcp
Search OpenSearch documentation, blogs, and community forums. Use when the user asks about OpenSearch features, configuration, APIs, troubleshooting, k-NN, neural search, cluster settings, index mappings, query DSL, or any OpenSearch-related questions.
Reviews ExUnit test code for proper patterns, boundary mocking with Mox, and test adapter usage. Use when reviewing _test.exs files or test helper configurations.
Analyze Windows Registry hives for forensic investigation. Use when investigating malware persistence, user activity, system configuration changes, or evidence of program execution. Supports offline registry analysis from disk images or extracted hives.