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.