agency-lsp-index-engineer

Orchestrate multiple LSP clients into a unified semantic graph.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/jay6697117/agency-agents-antigravity --skill agency-lsp-index-engineer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agency-lsp-index-engineer
Source: https://github.com/jay6697117/agency-agents-antigravity/tree/main/.agents/skills/agency-lsp-index-engineer
Command: npx skills add https://github.com/jay6697117/agency-agents-antigravity --skill agency-lsp-index-engineer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill federates multiple Language Server Protocol clients to deliver a unified code intelligence layer across heterogeneous languages by translating LSP responses into a cohesive semantic graph.

Core Features & Use Cases

  • LSP client orchestration: simultaneously run and coordinate TypeScript, PHP, Go, Rust, and Python servers to provide consistent definitions, references, and hover data.
  • Semantic graph indexing: convert LSP results into a graph of files, symbols, and relationships to enable fast navigation and analytics.
  • Real-time updates & persistence: support incremental updates via file watchers and git hooks, with a SQLite/JSON cache for fast startup.
  • Use Case: teams with multi-language monorepos can index codebases once and query navigation, references, and symbol documentation at scale.

Quick Start

Start the LSP index-engine in your project to orchestrate language servers and build a live semantic graph.

Frequently Asked Questions about agency-lsp-index-engineer

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

FAQPage Schema
How do I unify code intelligence across multiple languages in a monorepo?

Orchestrating multiple Language Server Protocol (LSP) clients simultaneously translates heterogeneous LSP responses into a cohesive semantic graph for consistent navigation, references, and hover data across a monorepo.

What is LSP client orchestration for semantic graph indexing?

LSP client orchestration for semantic graph indexing is the process of coordinating multiple language servers to convert LSP results into a unified graph of files, symbols, and relationships, enabling fast navigation and analytics across large codebases.

How do I maintain real-time symbol navigation updates in large codebases?

You maintain real-time symbol navigation updates in large codebases by supporting incremental updates via file watchers and git hooks, backed by a SQLite or JSON cache for fast startup and graph consistency.

Does this LSP index engine support strict LSP 3.17 compliance and sub-100ms endpoint performance?

Yes, this LSP index engine satisfies requirements for strict LSP 3.17 compliance, graph consistency, and sub-100ms endpoint performance for real-time symbol navigation, hover documentation, and references.

Can I run TypeScript, Go, and Python language servers simultaneously for code intelligence?

Yes, you can simultaneously run and coordinate TypeScript, PHP, Go, Rust, and Python servers to provide consistent definitions, references, and hover data across heterogeneous languages within a single codebase.

What is the best way to index a multi-language codebase for references and hover documentation?

The best way to index a multi-language codebase for references and hover documentation is to federate LSP clients into a unified code intelligence layer, converting results into a persistent semantic graph of files, symbols, and relationships.