lsp-setup
Automated LSP detection, installation, and configuration for intelligent code analysis, navigation, and diagnostics.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
518 skills found
Automated LSP detection, installation, and configuration for intelligent code analysis, navigation, and diagnostics.
Read the full text content of a specific note from an Obsidian knowledge base or vault.
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Manage, sync, and apply AI agent skills, kits, and presets using the Skills Hub CLI. Streamline your project setup by browsing catalogs, inspecting configurations, and deploying curated instruction policies and skill packages.
Create and manage production-ready Grafana dashboards for observability, real-time metrics visualization, and system monitoring.
Search and reference Chromium documentation, including design docs, APIs, and development guides. Use to locate, browse, or learn about architecture, GPU, network, security, and testing concepts within the Chromium codebase.
Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows within the Ruflo/Claude Flow ecosystem.
Create structured specifications for platform changes including GitHub issues, SDD templates, and automated type inference for infrastructure and security.
A configuration and usage guide for the XRequest tool within the Ant Design X SDK, streamlining network integration for streaming AI interfaces.
Expert skill for building and maintaining AI agents using the Claude Agent SDK, covering architecture, tool integration, MCP servers, and agentic workflows.
Identify, categorize, and troubleshoot flaky tests by analyzing CI history, execution patterns, and code structure to improve test suite reliability.