lsp-engineering

Indexes LSP data from multiple languages into a unified semantic graph.

116|9|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/elophanto/EloPhanto --skill lsp-engineering
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lsp-engineering
Source: https://github.com/elophanto/EloPhanto/tree/main/skills/lsp-engineering
Command: npx skills add https://github.com/elophanto/EloPhanto --skill lsp-engineering

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates multiple Language Server Protocols to deliver unified code intelligence across languages, enabling scalable symbol navigation, hover docs, and references.

Core Features & Use Cases

  • LSP client orchestration across TypeScript, PHP, Go, Rust, and Python for concurrent, reliable responses.
  • Semantic indexing and symbol graph generation to support fast go-to-definition, find references, and hover information.
  • Real-time updates via file watchers and git hooks to keep the index in sync with code changes.
  • LSIF import/export and caching for quick startup and offline access.

Quick Start

Install dependencies and start the graph daemon to begin exploring unified LSP intelligence.

Frequently Asked Questions about lsp-engineering

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I unify code navigation across multiple programming languages in a single project?▼

Unifying code navigation across multiple languages requires orchestrating multiple Language Server Protocols to index semantic data into a single symbol graph. This enables consistent go-to-definition, hover documentation, and find references queries across TypeScript, PHP, Go, Rust, and Python.

What is the best way to keep semantic code indexing updated with real-time changes?▼

Keeping semantic code indexing updated involves using file watchers and git hooks to track code changes. These mechanisms trigger real-time updates to the underlying graph daemon, ensuring the symbol graph remains synchronized with the latest file modifications without requiring a full rebuild.

How does LSIF export improve code intelligence startup time?▼

LSIF export improves code intelligence startup time by serializing the semantic index and symbol graph for caching and offline access. Importing this pre-computed LSIF data allows the graph daemon to initialize quickly and serve queries immediately without re-indexing the entire workspace.

Can I use a language server protocol orchestration system for multi-root workspaces?▼

Yes, language server protocol orchestration systems support multi-root workspaces by managing concurrent LSP clients across different project directories. This allows the semantic index to aggregate symbols and references from multiple independent roots into a unified queryable graph.

How do I handle concurrent LSP client responses across different programming languages?▼

Handling concurrent LSP client responses requires orchestration logic that manages multiple language servers simultaneously. A graph daemon coordinates these concurrent connections, ensuring reliable responses for cross-language symbol navigation and hover information without blocking operations.

What are the limitations of building a custom symbol graph for cross-language code navigation?▼

Building a custom symbol graph for cross-language code navigation requires significant engineering overhead to maintain LSP client orchestration and graph daemon persistence. Complex multi-root workspaces and real-time updates demand continuous resource allocation for indexing processes.